> Markdown version of [/jobs/ext/586173-big-data-lead-snowflake-python](https://www.wearedevelopers.com/jobs/ext/586173-big-data-lead-snowflake-python). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Big Data Lead (Snowflake/Python) - **Company:** Hexaware Technologies - **Location:** Parsippany-Troy Hills, NJ, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Airflow, Big Data, Computer Programming, Continuous Integration, Data Infrastructure, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), Open Source Technology, SQL Databases, Data Processing, Snowflake, Apache Spark, Software Application Programming, Git, Kubernetes, AWS Glue, Jenkins, Databricks - **Published:** June 22, 2026 - **Apply:** https://www.dice.com/job-detail/ec77d51f-ddde-46d8-8d9c-c3838c669637 ## About the Role 1. 10+ years of relevent experience in developing applications using snowflake, snow SQL , snowpipe , using Snowflake for ETL and storage 2. Profound experience with developing and designing Big Data applications using Spark/Python and snowflake. 3. Very good experience working with Python Core programming language in data processing 4. Good experience in Airflow and Kubernetes. 5. Develop highly scalable and extensible Big Data platform which enables collection, storage, modelling, and analysis of massive data sets from numerous data sources. 6. Should have very good knowledge on SQL Programming and ETL Data Warehousing concepts. 7. Good understanding of CI/CD process, Git, Jenkins. Note: Need strong experience in Snowflake, python and SQL. Experience with other technologies like data bricks, AWS glue, Open-source Spark will not be accounted for this role ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [The Road to MLOps: How Verivox Transitioned to AWS](https://www.wearedevelopers.com/videos/1050-the-road-to-mlops-how-verivox-transitioned-to-aws) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Our GitOps approach for deploying an Identity Provider and an API Gateway in a SaaS company](https://www.wearedevelopers.com/videos/776-our-gitops-approach-for-deploying-an-identity-provider-and-an-api-gateway-in-a-saas-company) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Dev Digest 162: AI careers, MCP, AWS best practices & floppy sweaters](https://www.wearedevelopers.com/magazine/571-dev-digest-162-ai-careers-mcp-aws-best-practices-floppy-sweaters)