What you will do:

• Provide technical and thought leadership for Data Engineering and Business Intelligence.
• Create, implement and operate the strategy for robust and scalable data pipelines for business intelligence and machine learning.
• Develop and maintain core data framework and key infrastructures.
• Data Warehouse design and data modeling for efficient and cost effective reporting.
• Define and implement Data Governance processes related to data discovery, lineage, access control and quality assurance.

What makes you a great fit:

• 3+ years of strong experience with data transformation & ETL on large data sets using open technologies like Spark, SQL and Python.
• 3+ years of complex SQL with strong knowledge of SQL optimization and understanding of logical & physical execution plans.
• You have at least 1 year working in AWS environment, and should be familiar with modern web technologies like AWS cloud, MySQL database, Redis caching, messaging tools like Kafka/SQS etc
• Experience in advanced Data Lake, Data Warehouse concepts & Data Modeling experience (i.e. Relational, Dimensional, internet-scale logs).
• Knowledge of Python, Spark (Batch/Streaming), Spark, SQL and PySpark.
• Proficient in at least one of the following Object-oriented programming languages -- Python / Java / C++.
• Effective craftsmanship in building, testing, and optimizing ETL/feature/metric pipelines.
• Experience with Business Requirements definition and management, structured analysis, process design, use case documentation.
• A data-oriented mindset.