Talentmate
India
7th October 2026
2610-6121-2411
Key Responsibilities ● · Design, develop, and maintain data pipelines using Databricks, Apache Spark, and cloud-native services. ● · Build and optimize ETL/ELT workflows for large-scale structured and unstructured data. ● · Develop data models and implement data quality, validation, and governance frameworks. ● · Integrate data from multiple sources into a unified Lakehouse architecture. ● · Optimize Spark jobs and Databricks workloads for performance, scalability, and cost efficiency. ● · Implement security controls, access management, and data governance using Unity Catalog. ● · Collaborate with business, analytics, and AI/ML teams to deliver trusted data products. ● · Monitor, troubleshoot, and resolve data pipeline issues. ● · Support CI/CD, DevOps, and infrastructure automation practices. ● · Maintain technical documentation and best practices. Required Technical Skills /Core Technologies ● · Databricks Lakehouse Platform ● · Apache Spark / PySpark ● · Delta Lake ● · SQL ● · Python ● · ETL / ELT Development ● · Data Modeling ● · Data Warehousing ● · Data Quality & Validation ● · Streaming & Real-Time Processing ● Governance & Security ● · Unity Catalog ● · Data Lineage ● · Row-Level Security ● · Access Control & Compliance ● · Data Governance Frameworks ● Cloud & DevOps ● · Azure / AWS / GCP ● · Terraform ● · GitHub Actions / Azure DevOps ● · CI/CD Pipelines ● Analytics & AI ● · Semantic Layers ● · Data Products ● · BI Platforms ● · Machine Learning Support ● · Generative AI & RAG Architectures
Key Responsibilities ● · Design, develop, and maintain data pipelines using Databricks, Apache Spark, and cloud-native services. ● · Build and optimize ETL/ELT workflows for large-scale structured and unstructured data. ● · Develop data models and implement data quality, validation, and governance frameworks. ● · Integrate data from multiple sources into a unified Lakehouse architecture. ● · Optimize Spark jobs and Databricks workloads for performance, scalability, and cost efficiency. ● · Implement security controls, access management, and data governance using Unity Catalog. ● · Collaborate with business, analytics, and AI/ML teams to deliver trusted data products. ● · Monitor, troubleshoot, and resolve data pipeline issues. ● · Support CI/CD, DevOps, and infrastructure automation practices. ● · Maintain technical documentation and best practices. Required Technical Skills /Core Technologies ● · Databricks Lakehouse Platform ● · Apache Spark / PySpark ● · Delta Lake ● · SQL ● · Python ● · ETL / ELT Development ● · Data Modeling ● · Data Warehousing ● · Data Quality & Validation ● · Streaming & Real-Time Processing ● Governance & Security ● · Unity Catalog ● · Data Lineage ● · Row-Level Security ● · Access Control & Compliance ● · Data Governance Frameworks ● Cloud & DevOps ● · Azure / AWS / GCP ● · Terraform ● · GitHub Actions / Azure DevOps ● · CI/CD Pipelines ● Analytics & AI ● · Semantic Layers ● · Data Products ● · BI Platforms ● · Machine Learning Support ● · Generative AI & RAG Architectures
Key Responsibilities ● · Design, develop, and maintain data pipelines using Databricks, Apache Spark, and cloud-native services. ● · Build and optimize ETL/ELT workflows for large-scale structured and unstructured data. ● · Develop data models and implement data quality, validation, and governance frameworks. ● · Integrate data from multiple sources into a unified Lakehouse architecture. ● · Optimize Spark jobs and Databricks workloads for performance, scalability, and cost efficiency. ● · Implement security controls, access management, and data governance using Unity Catalog. ● · Collaborate with business, analytics, and AI/ML teams to deliver trusted data products. ● · Monitor, troubleshoot, and resolve data pipeline issues. ● · Support CI/CD, DevOps, and infrastructure automation practices. ● · Maintain technical documentation and best practices. Required Technical Skills /Core Technologies ● · Databricks Lakehouse Platform ● · Apache Spark / PySpark ● · Delta Lake ● · SQL ● · Python ● · ETL / ELT Development ● · Data Modeling ● · Data Warehousing ● · Data Quality & Validation ● · Streaming & Real-Time Processing ● Governance & Security ● · Unity Catalog ● · Data Lineage ● · Row-Level Security ● · Access Control & Compliance ● · Data Governance Frameworks ● Cloud & DevOps ● · Azure / AWS / GCP ● · Terraform ● · GitHub Actions / Azure DevOps ● · CI/CD Pipelines ● Analytics & AI ● · Semantic Layers ● · Data Products ● · BI Platforms ● · Machine Learning Support ● · Generative AI & RAG Architectures
| Role Level: | Mid-Level | Work Type: | Full-Time |
|---|---|---|---|
| Country: | India | City: | Pune ,Maharashtra |
| Company Website: | http://www.exlservice.com | Job Function: | Information Technology (IT) |
| Company Industry/ Sector: |
Business Consulting and Services | ||
Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.
Disclaimer: talentmate.com is only a platform to bring jobseekers & employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at abuse@talentmate.com.