Senior Databricks Engineer/Technical Lead/Data Architect

1 day ago

Pune, Maharashtra, India Zorba Consulting Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Primary Roles And Responsibilities :

  • 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.

Skills And Qualifications :

  • Bachelor's and/or masters degree in computer science or equivalent experience.

  • Must have total 6+ yrs 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.

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