Summary of Essential Job Functions
Check out the role overview below If you are confident you have got the right skills and experience, apply today.
- Design, develop, and maintain scalable and efficient data pipelines using Python, Pandas, Spark, and Google Dataflow.
- Strong background in relational databases such as SQL Server and MySQL along with a deep understanding of the Google Cloud Platform.
- Putting together large, intricate data sets to satisfy both functional and non-functional business needs.
- Collaborate with cross-functional teams to understand data requirements and implement solutions that meet business needs.
- Optimize and troubleshoot data pipelines for performance, reliability, and scalability.
- Ensure data integrity and quality throughout the pipeline by implementing validation and testing strategies.
- Determining, creating, and implementing internal process improvements, such as redesigning infrastructure for increased scalability, improving data delivery, and automating manual procedures.
- Develop and maintain documentation for data pipelines, including design documents, code comments, and operational guides.
- Provide technical guidance and mentorship to junior team members, promoting best practices and continuous learning.
- Having knowledge on data engineering, cloud computing, and analytics using PowerBI, Tableau, Data Studio, and Superset.
Work Experience & Qualifications
- Proven 10 to 12 years in design and development.
- Excellent customer-facing and internal communication skills.
- A bachelor’s degree in computer science, information science, or data science.
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