Data Engineer/Senior Data Engineer(5-12 Years) - Kochi, Chennai, Coimbatore, Mumbai, Pune - Only Immediate Joiners!!!

Hi, Urgently looking out for Data Engineers/Sr. Data Engineers with one of my esteemed client for Kochi, Chennai, Coimbatore, Mumbai, Pune location. Years of experince:5-12 Years Location: Kochi, Chennai, Coimbatore, Mumbai, Pune ***Only Immediate joiners should apply *** Role Summary We are seeking a strong Data Engineer with hands-on expertise in Databricks, PySpark, and SQL/T-SQL interpretation to support a legacy-to-Databricks migration program. The ideal candidate should have worked predominantly as a Data Engineer throughout their career, ideally beginning with Oracle, SQL Server/T-SQL, ETL, or Data Warehouse technologies and later transitioning into modern cloud-based Data Engineering. The role requires the ability to understand existing T-SQL logic and migrate transformation rules into scalable Databricks and PySpark solutions. Important screening criterion: The candidate must have worked predominantly and consistently as a Data Engineer throughout their career. Profiles that are primarily BI, reporting, dashboarding, analytics, or only recently shifted into data engineering should not be prioritized. Roles & Responsibilities • Analyze legacy data warehouse, SQL Server, Oracle, ETL, and T-SQL based implementations for migration to Databricks. • Read and interpret complex T-SQL scripts, stored procedures, functions, views, joins, transformation rules, and data flows. • Convert business logic from legacy SQL/T-SQL processes into optimized Databricks and PySpark workflows. • Design, develop, and maintain scalable ETL/ELT pipelines in Databricks. • Support ingestion, transformation, validation, and reconciliation of enterprise data across legacy and modern platforms. • Collaborate with architects, senior engineers, business analysts, and migration teams to understand source-to-target mapping requirements. • Perform data quality checks, unit testing, integration testing, and defect resolution during migration execution. • Optimize PySpark jobs, SQL queries, and Databricks notebooks for better performance and reliability. • Document migration logic, transformation rules, dependencies, and technical design details. • Participate in code reviews and follow Data Engineering best practices. Must Have Skills • 5+ years of relevant Data Engineering experience, with the majority of career spent in Data Engineering roles. • Strong hands-on experience in Databricks development. • Strong PySpark programming experience for data transformation and pipeline development. • Strong SQL/T-SQL understanding, especially the ability to read and interpret existing T-SQL code. • Experience in legacy data technologies such as SQL Server, Oracle, traditional ETL tools, or Data Warehouse platforms. • Experience in ETL/ELT development, data ingestion, transformation, and data pipeline implementation. • Good understanding of Data Warehousing, Data Modeling, and dimensional concepts. • Ability to migrate or re-engineer legacy SQL/ETL logic into Databricks/PySpark. • Strong analytical, debugging, and problem-solving skills. • Good communication skills to work with technical and business teams. Candidates interested in the above mentioned Job Description can shared across their updated resume at ramandeep.k@anlage.co.in