Manager

• Bachelors and/or masters degree in computer science or equivalent experience
• Must have total 6+ yr of IT experience and 3+ 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 Apache Kafka for use 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
• Experience working in a Dev/Ops environment with tools such as Terraform, CircleCI, GIT
• 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
• Should have experience working in Agile methodology Strong verbal and written communication skills
• Strong analytical and problem-solving skills with a high attention to detail

Mandatory Skills: Python/ PySpark / Spark with Azure/ AWS Databricks