- Develop and maintenance of scalable data pipelines and ETL processes, data validation tool, ensuring data integrity and accessibility for business intelligence and advanced analytics.
- Manage robust data platforms on the AWS ecosystem, leveraging services like
Glue, PySpark, Python, Iceberg, S3 to build a secure and efficient data infrastructure.
- Utilize expertise in various RDBMS (e.g., MySQL, Db2, PostgreSQL, Snowflake)
and different data formats (e.g., JSON, Parquet) to drive strategic data initiatives.
- Exposure to Generative AI to automate and streamline data analysis,
development, and documentation processes.
- Act as a key liaison between the different stakeholders.
- Experience in insurance domain preferrable
- AWS Data Engineering certification positive to have
Key Responsibilities
- Develop robust data pipelines, using your deep understanding of existing ETL frameworks to build scalable and efficient solutions.
- Develop python tools for data validation.
- Analyze and understand diverse source systems and data formats to create and validate synthetic datasets for testing and development.
- Ensure Industry best practice is followed in all aspects of project.
- Leverage generative AI to enhance data analysis, accelerate development, Unit
Testing and streamline documentation.
- Collaborate with stakeholders to address the challenges.
📌 Data Analyst (Bengaluru)
🏢 Wintech Services
📍 Bengaluru
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