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About the role
HI, Greetings for the day !!! We at HCL are looking for Data Engineers with exp in ADF, ADB, Synapse, ETL and SQL. Location: PUNE/Noida/Chennai/Bangalore and Hyderabad. Mode of Interview: ONLINE Proctored assessment + 2 Levels of Technical interviews. If interested reach us on srikanth.domala@hcltech.com Provide us the details below: Open for First level of ONLINE TEST: Yes/No: Total years of exp: Exp in Databricks: Exp in Data factory: Exp in Synapse: Exp in SQL: Exp in python/pyspark: Current CTC: Expected CTC: Notice Period: Current location: Preferred location: Detailed Responsibilities We are seeking a skilled Databricks Engineer to design, develop, and optimize data solutions on the Microsoft Azure platform. This role is critical in enabling data-driven decision-making by building scalable data pipelines, integrating diverse data sources, and delivering high-quality analytics solutions aligned with business objectives. Key Responsibilities Design and develop scalable data solutions using Azure Databricks and the Azure ecosystem Build and manage Azure Data Factory (ADF) pipelines for efficient data ingestion and transformation Integrate structured and unstructured data from multiple sources into Azure Data Lake / Analytics platforms Develop ETL processes to support analytics and reporting requirements Collaborate with cross-functional teams to deliver high-quality data solutions Translate business requirements into technical designs and implement scalable architecture Ensure performance optimization, data quality, and reliability across data pipelines Support deployment and version control using Azure DevOps Mandatory Skills Strong expertise in Microsoft Azure Stack (T-SQL, SSIS, SSAS, SSRS) Hands-on experience with: Azure Data Factory (ADF) Azure Databricks Azure Synapse Analytics Azure DevOps Azure Storage / Data Lake Solid understanding of ETL processes and data integration Proficiency in SQL and relational databases Strong analytical and problem-solving skills Preferred Skills (Good to Have) Experience with Python scripting and Spark APIs Exposure to client-facing roles and stakeholder interactions Familiarity with Agile / Scrum methodologies Educational Qualification Bachelors degree in Computer Science / Information Technology / related field Skill Evaluation Matrix (Snapshot) Azure Stack, ADF, Databricks, Synapse, ETL, SQL Core strengths required DevOps, Storage/Data Lake Supporting capabilities Python/Spark, Client Engagement, Agile Added advantage .
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