Senior Data Engineer
DataArt
Job Title
Responsibilities
- Build, maintain, and enhance data pipelines and transformation workflows.
- Develop and orchestrate ingestion and processing pipelines in Python and Airflow.
- Develop clean, reliable, and reusable data models to serve downstream analytics and application consumers.
- Work with SQL and Snowflake to investigate data, troubleshoot issues, and implement transformations.
- Translate business and downstream requirements into appropriate data models and pipeline designs.
- Perform data analysis, validation, reconciliation, and data quality checks.
- Troubleshoot and resolve data issues across the pipeline, from source systems through ingestion and transformation to the serving layer.
- Optimize Snowflake performance and cost, including query tuning, warehouse sizing, and clustering and partitioning decisions.
- Take ownership of assigned tasks and independently drive them through development, testing, and completion.
- Work closely with business, analytics, and engineering teams to deliver production-ready solutions.
Requirements
- Strong SQL and data analysis skills.
- Strong hands-on experience with Snowflake.
- Hands-on experience with dbt and modern ELT and data transformation practices.
- Strong experience with Python and Airflow.
- Solid understanding of data modeling, including dimensional modeling and fact and dimension structures.
- Strong experience with AWS cloud services.
- Ability to understand unfamiliar datasets and identify relationships, data quality issues, and transformation requirements.
- Experience debugging and supporting existing data pipelines in production.
- Comfortable working independently in a fast-paced environment and delivering tasks with limited supervision.
We Offer
Vacation: As per the laws of your country. We do ask you to take a proper rest
Health insurance: We help you to take out an insurance policy for you and your loved ones
Sick pay: 10 days without a doctor's note, afterwards - as per the laws of your country
Equal opportunities
Time off for state holidays: According to the official calendar, regardless of the client's schedule
Pleasant environment: Two large corporate parties and many small get-togethers for colleagues
Comfort service: Solving technical and everyday problems at work
More about the perks List of benefits in PDF The benefits package may vary depending on the region and the type of contract
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