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 master’s 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 w
📌 Azure Data Engineer (Bengaluru)
🏢 Weekday`
📍 Bengaluru
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