Senior Manager -Databricks

• Designing and Developing Modern Data Warehouse solutions using Databricks and AWS/ Azure Stack
• Ability to provide solutions that are forward-thinking in data engineering and analytics space
• Collaborate with DW/BI leads to understand new ETL pipeline development requirements.
• Triage issues to find gaps in existing pipelines and fix the issues
• Work with business to understand the need in reporting layer and develop data model to fulfill reporting needs
• Help joiner team members to resolve issues and technical challenges.
• Drive technical discussion with client architect and team members
• Orchestrate the data pipelines in scheduler via Airflow

Roles Responsibilities

• Must have total 10+ yrs. of IT experience and 4+ years experience in Data warehouse/ETL projects.
• Deep understanding of Star and Snowflake dimensional modelling.
• Strong knowledge of Data Management principles
• Good understanding of Databricks Data AI platform and Databricks Delta Lake Architecture
• Should have hands-on experience in SQL, Python and Spark (PySpark)
• Candidate must have experience in AWS/ Azure stack
• Desirable to have ETL with batch and streaming (Kinesis).
• Experience in building ETL / data warehouse transformation processes
• Experience with streaming data / event-based data
• Experience with other Open-Source big data products Hadoop (incl. Hive, Pig, Impala)
• Experience with Open Source non-relational / NoSQL data repositories (incl. MongoDB, Cassandra, Neo4J)
• Experience working with structured and unstructured data including imaging geospatial data.
• Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot
• Databricks Certified Data Engineer Associate/Professional Certification (Desirable).
• Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects