
Data Engineering Lead
2 days ago
- Data engineer with a solid technical background and banking experience in data-intensive systems (>7 years)
- Strong experience in Big Data, Hadoop Ecosystem, Spark Streaming, Kafka, Python, SQL, Hive, NIFI, Airflow
- Proficient with Azure Cloud services such as Azure Data Factory (ADF), Databricks, ADLS, Azure Synapse, Logic Apps, Azure Functions. Or similar data stack knowledge within Google/AWS cloud services
- Proficiency in relational SQL, Graph and NoSQL databases.
- Proficiency in Elastic Search and Couchbase databases
- In-depth skills in developing and maintaining ETL/ELT data pipelines.
- Experience in data modelling techniques such as Kimball star schema, 3NF, vault modelling etc.
- Experience in workflow management tools such as Airflow, Oozie and CI/CD tools
- Data streaming solution in Kafka or Confluent Kafka
- Hands on experience in Google Big Query, Google Analytics & Clickstream Data Model
- Reporting knowledge in Power Bl, Tableau, Qlik etc.
- Sound in Data Management Fundamentals and Data Architect, Modelling, Governance
- Strong Domain Knowledge in Banking/Finance area like understanding of the various processes, products, and services within the banking industry, core functions, regulations, and operational aspects of banking institutions.
- Hands on knowledge in Hadoop and Azure/AWS cloud ecosystem and ETL jobs migration
- Knowledge of Advance Analytics and Al tools
Minimum BS Degree in CS, IT or Engineering
Banking Domain Knowledge will be a Plus.
Competitive Salary, Medical OPD & IPD, Life Insurance, EOBI
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