Senior Data Warehouse Engineer
1 month ago
Experience: 8+yrs
Location: Pune (Hybrid)
As a Senior Data Engineer with strong Snowflake, ETL and SQL expertise, you are a subject matter expert who is curious and an innovative thinker to mentor young professionals. You are a key person to convert Vision and Data Strategy for Data solutions and deliver them. With your knowledge you will help create data-driven thinking within the organization, not just within Data teams, but also in the wider stakeholder community.
Knowledge Preferred
- DWH Concepts - Proven technology champion in working with relational, Data warehouse databases, query authoring (SQL) as well as working familiarity with a variety of databases.- Snowflake - Extensive knowledge and hands on experience with Snowflake and its different components like Stored Procedures, User/Group, Data Store/ Warehouse management, External Stage/table, working with semi structured data, SnowPipe, Streams & Tasks etc. Experience working with Snowflake Time Travel, Zero Copy cloning. Proven experience with Snowflake Access control and authentication, data security, data sharing, working with VS Code extension for snowflake, replication, and failover, optimizing SQL, analytical ability to troubleshoot and debug on development and production issues quickly is key for success in this role.- Python , SQL - Proven champion with in-depth knowledge of the scripting languages: SQL, Python, Pyspark.- Proven experience with building complex data pipelines with ETL technologies like Informatica, DataStage or similar data integration tools. Good with manipulating, processing, and extracting value from large, disconnected datasets.
Skills Preferred
- Advanced written, verbal, and analytic skills, and demonstrated ability to influence and facilitate sustained change. Ability to convey information clearly and concisely to all levels of staff and management about programs, services, best practices, strategies, and organizational mission and values.- Proven ability to focus on priorities, strategies, and vision.- Very Good understanding in Data Foundation initiatives, like Data Modelling, Data Quality Management, Data Governance, Data Maturity Assessments and Data Strategy in support of the key business stakeholders.- Actively deliver the roll-out and embedding of Data Foundation initiatives in support of the key business programs advising on the technology and using leading market standard tools.- Coordinate the change management process, incident management and problem management process.- Ensure traceability of requirements from Data through testing and scope changes, to training and transition.- Drive implementation efficiency and effectiveness across the pilots and future projects to minimize cost, increase speed of implementation and maximize value delivery- Implement and manage CI/CD for migrating and deploying codes to higher environments with Snowflake codes.
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