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Senior Data Engineer for High-Performance Pipelines
1 tydzień temu
Job Description
- Spearhead the design and implementation of efficient data pipelines to drive business growth.
- Work closely with cross-functional teams to gather data requirements, ensuring seamless collaboration.
- Develop and maintain algorithms and data processing code in Java/Groovy, driving innovation and efficiency.
- Implement robust data validation, cleansing, and transformation processes to ensure data accuracy and consistency.
- Automate data extraction from various sources using Python scripts, streamlining workflows.
- Monitor and troubleshoot data pipeline performance in Airflow, proactively addressing any issues or bottlenecks.
- Extract data from BigQuery using SQL queries and develop reports using Google's Looker Studio.
- Participate in daily stand-ups, sprint planning, and retrospective meetings, fostering a culture of collaboration and continuous improvement.
- Engage in peer code reviews, knowledge sharing, and assist other engineers with their work, promoting a culture of excellence.
- Stay up-to-date with the latest technologies and best practices, introducing new solutions as needed to keep the product competitive.
Requirements
- Bachelor's degree or equivalent programming experience.
- 4-5 years of overall experience as a backend software developer, with at least 2 years as a Data Engineer using Spark with Java/Groovy and/or Python.
- Strong coding skills, and knowledge of data structures, OOP principles, databases, and API design.
- Highly proficient in developing programs and data pipelines in Java/Groovy or Python.
- 2+ years of professional experience with Apache Spark/Hadoop.
