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Job Description
- Design and implement data pipelines to support the data bricks/data lakehouse
- Test and validate data integrity in the lakehouse
- Develop data pipeline for data extractions (ADF)
- Optimize data query/pipeline performance
- Good understanding of Financial service domains and understanding of data
- Stay current with the latest data engineering technologies and best practices
- Developing and managing data bricks/ADF/Power BI/Microsoft Fabric
- Strong experience in data management and data engineering and data modelling
- Proficient in SQL and one or more programming languages such as Python or Pyspark
- Experience with cloud-based data lakehouse technologies such as AWS Lake Formation, Azure Data Lake Storage, or Google BigQuery
- Strong problem-solving and analytical skills
- Excellent communication and collaboration skills
- Bachelor's degree in computer science, engineering, or a related field
Skills
Analytical SkillsPysparkAzureData EngineeringData PipelinesPower BiBigqueryData ManagementPythonData IntegrityGoogle BigqueryData EngineerData ManagementSqlIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
About Company
Bajaj Finance Limited is one of India's largest non-banking financial companies, incorporated on 25 March 1987 as Bajaj Auto Finance Limited and headquartered in Pune, Maharashtra. It is a subsidiary of Bajaj Finserv Limited and part of the Bajaj Group.
Originally focused on two- and three-wheeler financing, the company now offers consumer durable loans, personal loans, business and SME lending, home loans, loans against property, and deposits. Bajaj Finance is listed on the NSE and BSE and employs over 70,000 people.
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