SENIOR DATA ENGINER

Primary Roles and Responsibilities:Developing Modern Data Warehouse solutions using Databricks and Azure StackAbility to provide solutions that are forward-thinking in data engineering and analytics spaceCollaborate with DW/BI leads to understand new ETL pipeline development requirementsTriage issues to find gaps in existing pipelines and fix the issuesWork with business to understand the need in reporting layer and develop data model to fulfill reporting needsHelp joiner team members to resolve issues and technical challengesDrive technical discussion with client architect and team membersOrchestrate the data pipelines in scheduler via AirflowSkills and Qualifications:Bachelor's and/or master’s degree in computer science or equivalent experienceMust have total 6+ yrs. of IT experience and 4+ years' experience in Data warehouse/ETL projectsDeep understanding of Star and Snowflake dimensional modellingStrong knowledge of Data Management principlesGood understanding of Databricks Data & AI platform and Databricks Delta Lake ArchitectureShould have hands-on experience in SQL, Python and Spark (PySpark)Candidate must have experience in Azure stackDesirable to have ETL with batch and streaming (Kinesis)Experience in building ETL / data warehouse transformation processesExperience with Apache Kafka for use with streaming data / event-based dataExperience 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 dataExperience working in a Dev/Ops environment with tools such as Terraform, CircleCI, GITProficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshootDatabricks Certified Data Engineer Associate/Professional Certification (Desirable)Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projectsShould have experience working in Agile methodologyStrong verbal and written communication skills

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