Data Engineer (Python)
ГК «Газпром бурение» — ведущий подрядчик в сфере строительства скважин для нефтегазовой отрасли. Мы ищем профессионала, готового присоединиться к нашей команде и внести вклад в реализацию масштабных проектов. Если Вы нацелены на работу в с…
газпром бурение · На сервисе с: 02.10.26 14:25
ГК «Газпром бурение» — ведущий подрядчик в сфере строительства скважин для нефтегазовой отрасли. Мы ищем профессионала, готового присоединиться к нашей команде и внести вклад в реализацию масштабных проектов. Если Вы нацелены на работу в стабильной компании с чёткими перспективами роста — эта вакансия для вас.
Вакансия открыта в дочернем Обществе ГК "Газпром Бурение"
Обязанности:
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аудит существующих пайплайнов, архитектуры хранилища, качества данных, документации и формирование плана развития;
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разрабатывать ETL/ELT-процессы на Python и Low-code ETL для сбора данных из 1С (УХ, УПП, ЗУП и др.), CRM (Битрикс24) и внешних API;
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проектировать слои хранилища и витрины данных, оптимизировать тяжелые SQL-запросы;
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настройка алертинга и мониторинга пайплайнов;
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поддерживать документацию по архитектуре и пайплайнам, участвовать в управлении инцидентами.
Требования:
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средне специальное или высшее образование;
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опыт в роли Data Engineer от 1-3 года, в том числе с существующими системами, а не только с проектами с нуля;
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отличное знание SQL и Python;
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опыт работы с PostgreSQL, ClickHouse, MySQL на больших объемах.
Условия:
- официальное трудоустройство с первого рабочего дня по ТК РФ;
- выплаты заработной платы 2 раза в месяц;
- ДМС со стоматологией по истечении испытательного срока (3 месяца);
- график работы: 5/2 (пн-чт с 09:00 до 18:00, пт с 09:00 до 16:45);
- место работы: "г. Санкт-Петербург, Малоохтинский проспект, д.68, литера А, БЦ "Regul;
- возможность реализовать свой потенциал в Компании, являющейся локомотивом экономики всей страны.
Бонусы от компании для семьи сотрудника:
- материальная помощь cотруднику организации при наступлении значимых событий в семье(вступление в брак впервые, рождение ребёнка и т.д.);
- компенсация затрат на приобретение путевок на санаторий, детский лагерь и отдых для сотрудника и его семьи;
- новогодние подарки детям.
Похожие вакансии Data Engineer
About the Team
Here at Avride, we're building the future with self-driving vehicles and delivery robots. As you can imagine, this creates a massive amount of data, and we need someone to help us connect the dots. This is a great opportunity to join a growing team and have a real, tangible impact on our technology and our success.
About the Role
We’re looking for a Data Analytics Engineer who is skilled in both data engineering and data analysis. Your main goal will be to take the messy, raw data coming from our vehicles, APIs, and databases, and transform it into clean, reliable datasets that everyone from our engineers to our CEO can actually use. You'll be responsible for building the data pipelines that make this happen, and the dashboards that bring the insights to life.
What You'll Do
- You'll tame our raw data streams, building the ETL pipelines that pull information from all corners of the company into our data warehouse.
- You'll work with some truly unique datasets—everything from vehicle sensor telemetry and logistics data to the results of our internal system tests.
- You'll write the smart, efficient SQL queries needed to shape our data and prepare it for analysis.
- You'll create and manage the Grafana dashboards that our teams rely on to track performance and spot issues.
- You'll work closely with other teams to figure out what data they need, and then you'll deliver it.
- You'll also get to experiment with our internal AI and LLM-based tools to find new ways to analyze data and automate insights.
What You'll Need
- Strong, practical experience with Python and its data libraries (like Pandas, Polars, etc.).
- Expert-level SQL. You should be very comfortable with complex joins, window functions, and query optimization.
- A solid background in building and maintaining ETL pipelines using modern tools.
- Hands-on experience with a BI tool like Grafana, Tableau, or Looker.
- Familiarity with workflow orchestrators like Airflow, Dagster, or Prefect.
- A good high-level understanding of how Large Language Models (LLMs) work and an interest in applying them to data problems.
- A strong sense of ownership and a passion for making sure the data is right.
Nice to Have
- You've worked with ClickHouse or other modern analytical databases (Snowflake, BigQuery, Redshift).
- You have experience with vehicle, sensor, or logistics data.
- You've worked in the autonomous vehicle or robotics industry before.
#LI-MS1
Candidates are required to be authorized to work in the U.S. The employer is not offering relocation, sponsorship, and remote work options are not available.
Avride is an equal opportunity employer and committed to providing reasonable accommodations to qualified applicants and employees with disabilities to ensure they have equal access to employment opportunities. Avride complies with the Americans with Disabilities Act (ADA), if you need a reasonable accommodation to assist with the application or hiring process, or to perform the essential functions of a job, please email jobs@avride.ai.
Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.
About the Role
You’ll lead two core systems inside Veeam Data Command Center: the Knowledge Graph and the hyperscale data lake integrations. Together, they help customers understand where sensitive data lives, who can access it, how it moves, and whether AI models trained on it can be trusted.
You’ll lead multiple teams building a searchable, security-aware graph that works at enterprise scale. This role is for a hands-on technical leader who can set clear direction, grow strong teams, and deliver reliable systems—while building an AI-first engineering culture with high standards for quality and security.
What You’ll Do
- Set the technical vision and end-to-end architecture for the Knowledge Graph, including the data model, storage engine, and query layer at very large scale
- Guide the evolution of the graph schema for data sources, identities, access, classifications, and lineage (property graph and/or RDF) using Amazon Neptune and/or Neo4j
- Own the strategy for hyperscale lake and lakehouse integrations, including connectors and scanning engines that ingest metadata and lineage from Delta Lake, Iceberg, Parquet/Avro, and platforms like Azure Data Lake, AWS S3/Glue, and BigQuery without disrupting production
- Drive performance and reliability, including standards for indexing, partitioning, and query planning, and tuning traversals and queries (Gremlin, Cypher/openCypher, SPARQL)
- Build and scale an AI-first engineering approach where teams use tools like Claude Code, Cursor, and Copilot responsibly, with guardrails for security, maintainability, and code quality
- Invest in reusable engineering building blocks (including “Claude skills” and agent workflows) that make teams faster and more consistent
- Own delivery outcomes: roadmap execution, operational readiness, incident learning, and cross-team alignment
- Hire, coach, and develop leaders, including engineering managers and senior/staff engineers, with clear expectations and growth paths
What You’ll Bring
- 10+ years of software engineering experience in data infrastructure, graph systems, or distributed data platforms
- 4+ years of engineering leadership experience, including leading through managers and scaling multiple teams
- Strong production experience with Amazon Neptune and/or Neo4j, including scaling, operations, and trade-offs (property graph vs. RDF)
- Proven ability to lead graph modeling for complex domains, including lineage and permissions at enterprise scale
- Deep knowledge of Gremlin, Cypher/openCypher, and/or SPARQL, including performance tuning and query design best practices
- Experience with data lakes/lakehouses (Delta Lake, Iceberg, Parquet) across major cloud platforms (Azure Data Lake, AWS S3/Glue, BigQuery)
- Experience designing and operating distributed systems using tools like Spark, Flink, or Presto/Trino, with strong judgement on scalability and cost
- Strong backend background in Go and/or Python, with the ability to review designs, guide decisions, and unblock teams
- Practical experience using AI-assisted development tools and the ability to set standards that keep AI-assisted code secure and high quality
Bonus Skills
- Experience operating graph systems at massive scale
- Background in data security, access governance, and policy controls
- Experience with AI/ML governance tools and practices (e.g., MLflow, Databricks Mosaic AI)
- Experience building custom agents, MCP-based workflows, or reusable engineering automation
- Infrastructure-as-Code experience (e.g., Terraform or Pulumi)
- Contributions to graph standards or communities (GQL, openCypher, SPARQL)
What you'll get
- Unlimited paid time off, 12 paid holidays including 4 global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
- Paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents
- Medical, dental, and vision coverage starting on your first day
- Mental health support, therapy sessions, and digital wellness tools via our Employee Assistance Program
- 401(k) retirement plan with company matching contributions
- Fertility, adoption, and surrogacy support through Maven, plus paid volunteer time
- AirVet: 24/7 virtual veterinary care at no cost
- Legal services, identity protection, and supplemental health insurance options
- Tax-advantaged spending accounts for healthcare, dependent care, and commuting
- Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning
Pay Transparency
Veeam is committed to pay transparency and equitable compensation. For this role, the compensation range below reflects the expected total target compensation (TTC), inclusive of base pay and a competitive performance-based bonus. For roles with a commission plan, the compensation range represents On Target Earnings (OTE), which includes base salary plus variable commission. When determining compensation, Veeam takes into consideration factors such as experience, education, skills, and geographic zone. Offers are typically made below the midpoint of the range.
In addition to compensation, Veeam provides a comprehensive benefits package, including health coverage, retirement plans, and unlimited time off.
Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential.
Personal data collected during the recruitment process will be processed in accordance with our Recruiting Privacy Notice, which explains how your information is collected, used, and handled in connection with hiring activities. By applying for this position, you consent to this processing.
By submitting your application, you confirm that the information provided, including any supporting documents, is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification may result in disqualification from consideration or, if discovered after employment begins, termination of employment.
Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.
About the Role
We are seeking exceptional Senior Engineer- Hyperscale Analytics to design and scale next-generation data processing and analytics platforms that power OLTP, OLAP, and large-scale distributed data systems. You will build and optimize pipelines and services that handle billions of records daily, enabling real-time transactions, analytical insights, and AI-driven decisioning.
What You’ll Do
- Transactional & Analytical Systems: Design and implement highly scalable OLTP systems for real-time workloads and OLAP systems for complex analytical queries on massive datasets
- Distributed Processing: Build, optimize, and maintain large-scale batch and streaming pipelines using frameworks such as Apache Spark, Flink, Presto/Trino, or Kafka Streams
- System Performance & Scale: Optimize systems for low-latency queries, high-throughput ingestion, and interactive analytics, ensuring seamless performance as data volumes scale to petabytes
- Data Infrastructure: Develop and integrate with modern storage and processing systems (e.g., Snowflake, BigQuery, Redshift, Cassandra, HDFS, Delta Lake, Iceberg) to support hybrid analytical/transactional workloads
- Reliability & Observability: Ensure high availability, reliability, and monitoring across large compute and storage clusters with automated failover and recovery
- Collaboration: Partner with data scientists, ML engineers, and product teams to build unified, secure, and cost-efficient data platforms
What You’ll Bring
- 6+ years of professional software engineering experience, with a significant portion focused on data infrastructure, distributed systems, or large-scale analytics platforms
- Deep experience with distributed data processing frameworks (e.g., Spark, Flink, or similar)
- Strong background in cloud-scale data architecture (AWS, Azure, or GCP) — data lakes, warehouses, streaming platforms
- Proficiency in one or more of: Python, Java, Scala, or Go
- Experience with modern data warehouse/lakehouse technologies (e.g., Snowflake, Databricks, BigQuery, Redshift)
- Solid understanding of data modeling, ETL/ELT design, and pipeline orchestration (e.g., Airflow, dbt)
- Track record of designing for scale, reliability, and cost efficiency in production systems
Bonus Skills
- Experience with HTAP (Hybrid Transactional/Analytical Processing) systems or real-time analytics platforms
- Familiarity with data lakehouse architectures and formats like Parquet, ORC, Delta, Iceberg, Hudi
- Knowledge of containerized deployments (Docker, Kubernetes) and cloud-native data architectures (AWS Redshift, GCP BigQuery, Azure Synapse)
- Background in query engine development or contributing to open-source OLAP/OLTP frameworks
What you'll get
- Unlimited paid time off, 12 paid holidays including 4 global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
- Paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents
- Medical, dental, and vision coverage starting on your first day
- Mental health support, therapy sessions, and digital wellness tools via our Employee Assistance Program
- 401(k) retirement plan with company matching contributions
- Fertility, adoption, and surrogacy support through Maven, plus paid volunteer time
- AirVet: 24/7 virtual veterinary care at no cost
- Legal services, identity protection, and supplemental health insurance options
- Tax-advantaged spending accounts for healthcare, dependent care, and commuting
- Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning
Pay Transparency
Veeam is committed to pay transparency and equitable compensation. For this role, the compensation range below reflects the expected total target compensation (TTC), inclusive of base pay and a competitive performance-based bonus. For roles with a commission plan, the compensation range represents On Target Earnings (OTE), which includes base salary plus variable commission. When determining compensation, Veeam takes into consideration factors such as experience, education, skills, and geographic zone. Offers are typically made below the midpoint of the range.
In addition to compensation, Veeam provides a comprehensive benefits package, including health coverage, retirement plans, and unlimited time off.
Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential.
Personal data collected during the recruitment process will be processed in accordance with our Recruiting Privacy Notice, which explains how your information is collected, used, and handled in connection with hiring activities. By applying for this position, you consent to this processing.
By submitting your application, you confirm that the information provided, including any supporting documents, is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification may result in disqualification from consideration or, if discovered after employment begins, termination of employment.
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