You’ll be a data engineering specialist within the data science team. Your responsibilities would include:
Working with upstream data engineering teams to help investigate what data is available to support data science use cases
Developing prototype SQL from a high-level business request, supplied by a data scientist
Turning prototype SQL into a production grade pipeline
Doing analysis to define data quality rules and validation checks
Design and build data products and data pipelines that are cost effective, performant and resilient.
Build both batch and NRT data pipelines.
Building out Data Product documentation, including clear and comprehensive user guides, and runbooks to aid control and knowledge transfer.
Operational maintenance of all data products our model’s rely on
Ensure both self and others take responsibility for achieving brilliant customer and business outcomes through high-quality execution, collaboration, and a focus on continuous improvement.
Developing our data product code templates
Supporting the maintenance of our data platform infrastructure
What You’ll Need To Succeed (Skills & Experience)
Stakeholder Communication: Excellent written and verbal communication skills, with the ability to adapt and moderate the explanation of technical concepts to suit the audience's level.
Requirements Gathering: Ability to transform vague business requests into a set of transparent, actionable technical requirements.
Cloud Data Engineering: Strong data engineering experience within Google Cloud Platform (GCP).
BigQuery SQL Optimization: Strong experience optimizing BigQuery SQL. This includes leveraging partitioning, clustering, an
📌 Data Engineering Specialist (Kolkata)
🏢 BT Group
📍 Kolkata
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