Technical Skills
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 effective 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 effective 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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