Preferred Skills
Design, develop, and implement scalable data architectures for collection, storage, processing, and analysis., Lead and mentor the data engineering team, building and optimizing ETL pipelines with Airflow, Snowflake, and DBT., Define strategies for data partitioning, retention, governance, and security., Translate business requirements into technical solutions and document data architecture., Foster collaboration across engineering, product, and business teams., Drive innovation in data practices and system architecture., Manage project timelines and track progress to ensure delivery.] Requirements : AWS, Airflow, Snowflake, dbt, Apache Spark, SQL, Agile, DSPs, AD, DevOps, Version control system, CI / CD Tools : Agile, Scrum.