Data Architect - Remote

Technologies: Data Architect ETL/ ELT Data Lake data warehousing data pipelines SQL

Calling for a Data Architect who can understand and appreciate code to transform noisy real-world data into high-signal models that stand the test of time.

The role will be FULLY REMOTE.

Role Requirements:

1. Having thoughtful discussions with Product Manager to understand Customer’s data engineering requirements.
2. Breaking complex requirements into smaller tasks for execution.
3. Ability to work efficiently with a solid sense for setting priorities; ability to guide your own learning and contribute to domain knowledge building.
4. Mentoring and guiding team members on ETL/ ELT processes in the cloud using tools like AirFlow, Glue, Stitch, Cloud Data Fusion, DataFlow.
5. Ability to work at an abstract level and build consensus; ability to see from and sell to multiple viewpoints.
6. Designing and implementing Data Lake, Data Warehouse, and Data Marts in AWS.
7. Creating efficient SQL queries and understanding query execution plans for tuning queries on engines like PostgreSQL.
8. Performance tuning of OLAP/ OLTP databases by creating indices, tables, and views.
9. Write Python, Scala scripts for orchestration of data pipeline.

Technical Experience and Skill set:

1. 5+ years’ experience in data engineering.
2. Strong Python, Scala programming ability with several hands-on projects implemented.
3. Interest in leading a team of Data Engineers in future with the successful implementation of Data Pipelines on public cloud infrastructure.
4. Strong understanding of Data Engineering concepts including ETL, ELT, Data Lake, Data Warehousing, and Data Pipelines.
5. Experience designing and implementing Data Pipelines, Data Lakes, Data Warehouses, and Data Marts that support terabytes scale data.
6. A clear understanding of Database concepts like indexing, query performance optimization, views, and various types of schemas. Hands-on SQL programming experience with knowledge of windowing functions, subqueries, and various types of joins.
7. Proficiency with Data Modeling experience (e.g., Relational, Dimensional, Columnar, Big Data).
8. Proficiency with complex SQL and NoSQL experience.

Please get in touch for further details on this excellent contract opportunity.

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