Skills and Qualifications:

● Bachelor's and/or master’s degree in computer science or equivalent experience.

● Must have total 3+ yrs. of IT experience 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 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/ Databricks