Engineering Head - Data Management

Role: Head of Engineering - Data Management

Brief : Must have solid architecting, development & deployment experience in data engineering, DevOps, scalable machine learning model & API development.

- Should believe in product thinking and data-as-a-service principles.

- 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

- Lead large-scale integration and replatforming efforts with CRM and Customer Engagement Platform (CEP) systems - both internally and externally - to enhance the data and marketing platform infrastructure

- Collaborate with Business leaders, Data Science, IT and Digital App Development teams on implementing machine learning algorithms at scale to facilitate audience intelligence, segmentation and personalization initiatives.

Requirement:

- More than 15 years of experience in data engineering and data management along with a BE/BTech/Master's degree in STEM degree.

- 4-6 years of experience with distributed data frameworks, Hadoop and related architectures (Hive, Spark, Presto, EMR)

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

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

- Exposure to modern development approaches (containerization, microservices, CI/CD)

- Hands-on experience with relational database platforms (Oracle, SQL Server, Postgres, MySQL)

- Solid understanding of real time (e.g. Kafka) and batch data processing frameworks, DAG schedulers(Airflow, Luigi, etc)

- Solid understanding of SOA design and implementation

- Exceptional analytical, quantitative, problem-solving, and critical thinking skills

- Have a collaborative work style with strong desire to work in dynamic, fast paced environment that requires flexibility and ability to manage multiple priorities

- Experience with online media data at scale (web/ad/video/email event streams, identity graphs/maps)