Software/Data Engineer (Middle/Senior) (JavaScript, Node.js)

Data Engineer

Общие требования

Опыт работы инженером данных или в смежных областях от 5 лет

Технические требования ниже

TBD

Требования к кандидату

опыт работы с фреймворками обработки данных (Apache Spark, Apache Flink, Apache NiFi, Apache Airflow);

понимание принципов ETL, опыт работы с ETL-процессами и инструментами;

хорошие знания SQL (на уровне относительно сложных запросов) и опыт работы с реляционными СУБД;

знание архитектуры хранилищ данных: DWH, Data Lake (Greenplum, Hadoop (HDFS, Hive), Clickhouse, Trino, S3)

понимание принципов Data Governance и Data Quality;

понимание основных типов интеграций и взаимодействия систем;

навыки работы с REST API и интеграцией внешних источников;

навыки работы с Git.

Будет плюсом:

знание и опыт программирования на Python/Java (+Spring)/Groovy/Scala;

опыт работы с нереляционными базами данных;

опыт работы с инструментами CI/CD (Jenkins, GitLab pipelines, TeamCity и пр.);

опыт работы с Docker, Kubernetes;

опыт работы с облачными системами.

Who We Are:

Delve Deeper is a performance media agency dedicated to helping clients grow their customer base by integrating the power of tech and data into media. We operate as one high-functioning team, driven by our professional “Fire in the Belly,” and a shared passion for delivering exceptional value. Our focus: delighting clients and creating an engaging, growth-focused environment for our team.

We offer services across digital marketing management, first-party data science and consulting, and adtech/martech systems integration and reselling—at a global scale. Our strength lies in connecting the dots between data, technology, and media. We help our clients identify their superfans, deterministically find more of them, and convert them online in the most efficient way possible.

Delve Deeper has been recognized as one of Built In Colorado’s “Best Places to Work” for four consecutive years. Our culture emphasizes continuous professional development, meaningful impact, and a strong commitment to supporting our team—through self-care, family, community, and career growth. As a privately owned company, we move quickly and purposefully, avoiding red tape and paving a clear path for passionate professionals.

Here’s What You’ll Do:

• Develop and maintain reliable ETL/ELT pipelines that ingest data from third-party APIs, databases, and files into BigQuery.
• Design and implement SQL transformations, data models, views, and data quality checks for analytics and reporting.
• Build and operate GCP services (eg. Cloud Run / Cloud Functions, Cloud Storage, related infrastructure, etc)
• Manage scheduled workflows and transformation dependencies with tools such as dbt/Dataform and Airflow / Cloud Composer.
• Use Terraform, Docker, Git (&GHA), and CI/CD practices to support reproducible and maintainable deployments.
• Troubleshoot pipeline failures, improve observability, and implement retries, incremental loading, and backfill strategies.
• Collaborate with analytics and client-facing teams to translate data requirements into dependable datasets and documentation.

Here’s What You Bring:

• Practical experience developing data pipelines using Python and SQL.
• Strong SQL skills, including joins, CTEs, window functions, query optimization, and data modeling.
• Hands-on experience with BigQuery and core GCP services such as Cloud Storage, Cloud Run / Cloud Functions, Pub/Sub, IAM, and Secret Manager, etc.
• Experience integrating REST APIs, including authentication, pagination, rate limits, error handling, and retries.
• Familiarity with SQL transformation and orchestration tools such as dbt/Dataform and Apache Airflow / Cloud Composer (or comparable tools).
• Working knowledge of Terraform, Docker, Git/GitHub, and CI/CD fundamentals.
• Understanding of incremental loads, idempotency, data validation, logging, and production troubleshooting.
• Good written and spoken English for technical documentation and collaboration.

Nice To Have:

• Experience with Salesforce, GA4, Google Ads, Meta, CM360, The Trade Desk, or other marketing and advertising data sources.
• Familiarity with Power BI or Looker and the data structures supporting BI reporting.
• Experience with Kubernetes, or event-driven architectures.
• Hands-on experience with MLOps, including deploying, monitoring, and maintaining machine learning models in production environments.

How Success Is Measured:

Within the first few months, you can independently deliver and support scoped API-to-BigQuery integrations and SQL transformations, follow team engineering standards, investigate data issues, and proactively communicate risks and dependencies.

What Delve Deeper Offers

• Work schedule: 12 pm- 8 pm
• A competitive salary and an annual bonus opportunities
• A promote from within culture and the chance to define your career growth
• Health and dental insurance (after trial period)
• 28 calendar PTO days
• Flexible sick days policy backed by full 100% short-time disability coverage
• Brand new office in Minsk, built and designed exclusively for DELVE
• English language tuition covered for specific positions
• Compensation of sports facilities (after trial period)
• Mental health reimbursement (after trial period)
• Generous employee referral bonuses
• Hybrid Working Model: Tuesdays, Wednesdays, Thursdays in office with the option to work from home on Mondays and Fridays

Please submit your CV in English!

Ссылка на Общереспубликанский банк вакансий на информационном портале государственной службы занятости не размещается на основании абз.5 ст. 34 закона Республики Беларусь «О занятости населения»

Вам предстоит:

• Проектировать и развивать Data Lakehouse платформу;

• Разрабатывать ETL/ELT пайплайны на базе Spark, DBT и Trino;

• Работать с объектным хранилищем S3 и организовывать эффективную работу с данными в Data Lake;

• Строить наблюдаемость платформы: метрики, дашборды и алертинг на базе Prometheus, VictoriaMetrics и Grafana;

• Управлять инфраструктурой и конфигурацией платформы через GitOps (ArgoCD, Helm);

• Взаимодействовать с продуктовой командой, понимать потребности пользователей платформы и развивать DLH как внутренний продукт.

Формат работы - гибридный по договоренности с руководителем.

Вы нам подходите, если:

• Имеете практический опыт построения Data Lakehouse платформ или крупных Data Platform решений;

• Обладаете опытом проектирования DLH с нуля;

• Имеете глубокое понимание архитектуры Spark: execution model, partitioning, memory management, shuffle, оптимизация запросов;
• Хорошо понимаете принципы работы форматов данных и таблиц в Data Lake (Iceberg/Parquet и аналогичных технологий);

• У вас есть опыт работы с Trino и понимание принципов распределенного выполнения запросов;

• Обладаете опытом работы с Airflow и построения сложных data workflows, разработки кастомных операторов, сенсоров, хуков и плагинов.