Head - Data Engineering

Head - Data Engineering - ETL, Big Data, Hadoop, Kafka, Data Lake, Azure, AWS, CI/CD, SQL

Qualifications :

- More than 12 years of experience in data engineering and data management and minimum 4-6 years of experience with distributed data frameworks, Hadoop and related architectures (Hive, Spark, Presto, EMR)

- Proven ability to lead and mentor a highly technical Data engineering team while also demonstrating the ability to discuss, understand and synthesize solutions for the business needs and data management requirements of other organizational units.

- Hands-on experience in designing and managing data lakes, data warehouses.

- Hands-on experience with AWS/ GCP/AZURE ecosystem (Databricks, Data factory, HDInsight, Event Hubs, AKS, Azure DevOps etc.)

Responsibilities :

- Partner with internal teams and external vendors to ingest, store and enrich data throughout the organization within the enterprise data lake and underlying warehouses/data marts/etc.

- Operate as a thought leader with the ability to guide, influence, and inspire peak performance across the data architecture design and ETL functions

- Collaborate with Business Intelligence and extended analytics groups on data mart optimizations, query tuning, and data model designs with a focus on delivering actionable insights