Data Engineer (Senior)

Alterdata.io is a service company specializing in data and is looking for a contractor for the role of Senior Data Engineer.

• Commercial experience as a Data Engineer.
• Proficiency in Python.
• Proficiency in SQL: writing queries, optimization, working with databases like PostgreSQL, BigQuery.
• Practical experience designing, implementing, and optimizing complex ETL/ELT processes.
• Experience integrating data from multiple sources (streams, relational databases, files, API).
• Practical experience working with cloud platforms: Google Cloud Platform or Azure.
• Understanding of Data Warehousing, Data Lakes, and Data Lakehouse concepts.
• Experience implementing serverless solutions based on containerized services using Docker.
• Knowledge of version control systems Git and experience with code management platforms (GitHub, GitLab, Bitbucket).
• Self-reliance, proactivity, and ability to solve complex technical problems.
• Good work organization, teamwork, and effective communication skills.
• English language proficiency at minimum C1 level.
• Ability to interpret business goals and translate them into coherent technical tasks.
• Experience managing projects.
• Experience as a technical leader or coordinator of smaller development teams.

Nice to have:

• Knowledge of CI/CD tools (e.g., Jenkins, GitHub Actions, GitLab CI).
• Experience with Infrastructure as Code tools like Terraform.
• Knowledge of real-time data processing tools such as Apache Kafka, Apache Spark, Google Dataflow.
• Experience with tools like dbt, Dataform.
• Knowledge of data integration, storage, processing, and search in environments like Spark, Snowpark, AWS Data Migration Services, Azure DataFactory, Google DataFlow.
• Experience working with BigQuery, Snowflake platforms.
• Experience using AI tools in coding, e.g., Cursor, Claude Code.

• Designing and developing advanced data architecture based on cloud platforms like GCP, Azure, and Snowflake according to market best practices.
• Designing and implementing highly scalable, efficient, and secure ETL/ELT processes using native cloud services (GCP, Azure).
• Supervising stability and performance of data pipelines in GCP (BigQuery, Pub/Sub, Composer) and Azure, focusing on performance and cost optimization (FinOps).
• Writing clean, modular, maintainable code in Python and SQL while maintaining security, testability, and CI/CD standards.
• Designing and standardizing generic data integration mechanisms from varied sources (API, real-time streams, databases).
• Collaborating with cloud architects, analysts and business stakeholders to translate functional requirements into optimal technical platform architectures.
• Ensuring technical quality via code reviews, providing mentorship to less experienced contractors, and promoting data engineering standards.
• Designing and overseeing architectural documentation and actively participating in improving agile delivery processes within the organization.

Contract model: B2B (fully remote collaboration). Guaranteed engagement of approximately 160-180 hours monthly. Services to be provided using own computer equipment and basic tools; access to client project licenses provided.