Data Engineer - Databricks & Modernisation

Job Title: Data Engineer Databricks & Modernisation Experience Required: 6 to 10 Years Annual CTC Budget: 15-25 LPA Location: Pune MANDATORY CRITICAL MATCH CRITERIA (READ FIRST): Experience: 6 to 10 years of dedicated experience in Data Engineering. A stable career history is strictly required. Education: B.E. / B.Tech / MCA or equivalent. Core Skills: Hands-on experience in PySpark (DataFrames/SQL), Databricks platform, ETL/ELT pipeline design, Delta Lake, and Data Modeling. Software/Tools: Mandatory: Databricks Certified Data Engineer (Associate or Professional), Python, and Cloud (Azure/AWS/GCP). Communication: Exceptional English skills for mandatory daily technical coordination syncs with global teams. Logistics: 100% Hybrid model located in Pune. Position Overview We are seeking a seasoned Data Engineer to design, build, and optimize scalable data pipelines. You will be responsible for modernizing legacy systems, implementing robust ELT patterns, and ensuring high-performance data workflows within a Databricks environment. Core Responsibilities Pipeline Engineering: Design and operate scalable, reliable data pipelines using PySpark and Databricks. Legacy Modernization: Refactor complex legacy ETL processes to modern, high-performance ELT patterns. Architecture: Implement data models (Dimensional/Data Vault) and manage optimized Delta Lake tables. Quality & Governance: Establish data validation frameworks, error handling, and robust monitoring. Collaboration: Partner with cross-functional teams to deliver technical solutions and mentor junior engineers. How to Apply Please click the "Apply" button directly on this platform and ensure you accurately complete the mandatory screening questions. Applications with incomplete screening responses or profiles failing to meet the baseline experience metrics will be filtered out by our system automatically. #DataEngineer #Databricks #PySpark #ETL #PuneJobs Job Title: Data Engineer Databricks & Modernisation Experience Required: 6 to 10 Years Annual CTC Budget: 15-25 LPA Location: Pune MANDATORY CRITICAL MATCH CRITERIA (READ FIRST): Experience: 6 to 10 years of dedicated experience in Data Engineering. A stable career history is strictly required. Education: B.E. / B.Tech / MCA or equivalent. Core Skills: Hands-on experience in PySpark (DataFrames/SQL), Databricks platform, ETL/ELT pipeline design, Delta Lake, and Data Modeling. Software/Tools: Mandatory: Databricks Certified Data Engineer (Associate or Professional), Python, and Cloud (Azure/AWS/GCP). Communication: Exceptional English skills for mandatory daily technical coordination syncs with global teams. Logistics: 100% Hybrid model located in Pune. Position Overview We are seeking a seasoned Data Engineer to design, build, and optimize scalable data pipelines. You will be responsible for modernizing legacy systems, implementing robust ELT patterns, and ensuring high-performance data workflows within a Databricks environment. Core Responsibilities Pipeline Engineering: Design and operate scalable, reliable data pipelines using PySpark and Databricks. Legacy Modernization: Refactor complex legacy ETL processes to modern, high-performance ELT patterns. Architecture: Implement data models (Dimensional/Data Vault) and manage optimized Delta Lake tables. Quality & Governance: Establish data validation frameworks, error handling, and robust monitoring. Collaboration: Partner with cross-functional teams to deliver technical solutions and mentor junior engineers. How to Apply Please click the "Apply" button directly on this platform and ensure you accurately complete the mandatory screening questions. Applications with incomplete screening responses or profiles failing to meet the baseline experience metrics will be filtered out by our system automatically. #DataEngineer #Databricks #PySpark #ETL #PuneJobs