Job Description They are responsible for the design and development of database models, data/batch processing jobs, data manipulation, data mining, and data extraction/transformation/loading using Python. This is a hands-on, technical role suited for someone who is comfortable working with data infrastructure and application layer integration. Write and optimize SQL queries to extract, transform, and load structured and unstructured data. Provide scoping, estimating, planning, design, development, and support services to support project initiatives. Design, configure, deploy and maintain Python Scripts to support AI project initiatives. Collaborate on AWS infrastructure, including working with S3 for data storage and AWS Glue for ETL pipeline development. Contribute to Python-based front-end applications, supporting current interfaces and preparing for a potential future migration to Angular. Design, development, test, and implement application code. Track progress and intervene as needed to eliminate barriers and ensure delivery. Resolve or escalate problems and manage risk for both development and production support. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

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• 7+ years with Data Engineering
• 4+ years with AWS (setting up pipelines, using resources, etc.)
• Strong Hands-on experience in Data Engineering development using Python and Pyspark as an ETL tool.
• Hands-on experience in AWS services like Glue, RDS, S3, Step functions, Event Bridge, Lambda, MSK (Kafka), EKS etc.
• Hands-on experience in Databases like Postgres, SQL Server, Oracle, Sybase.
• Hands-on experience with SQL database programming, SQL performance tuning, relational model analysis, queries, stored procedures, views, functions and triggers.
• Strong technical experience in Design (Mapping specifications, HLD, LLD), Development (Coding, Unit testing).
• Good knowledge in CI/CD DevOps process and tools like Bitbucket, GitHub, Jenkins.
• Strong foundation and experience with data modeling, data warehousing, data mining, data analysis and data profiling.
• Strong experience with Agile/SCRUM methodology.