Data Engineer

Title: Data Operations Associate Location: Hyderabad Experience: 6+years NP: Immediate to 15days Company Profile: Tech Mahindra represents the connected world, offering innovative and customer-centric information technology experiences. We #Rise together to create sustainable businesses that can bring about lasting change in our communities – to create an equal world, to be future ready, and to create value. We are 152,000+ professionals across 90 countries, helping 1297 global customers including Fortune 500 companies Job Description: Primary Responsibilities high quality client service externally and internally. Address inquiries, perform controls, data modeling, resolve problems, and mitigate risks for clients and internal partners. daily internal verification checks to ensure data is accurate and available within SLAs. and troubleshoot data pipeline issues and feed processing exceptions and triaging with Data Engineering Support when needed. complete and maintain operational workflows and identify and execute opportunities for optimization. and resolve complex and intricate issues and perform ad-hoc analysis of large data sets while meeting tight deadlines with data engineers related to optimizing application logic and functionality in the Azure Gen2 Data Lake, Data Factory, Data Bricks and SQL Database environments. knowledge of the firm’s operational data hubs and warehouse schema. on cross-functional teams to represent the Data Team on various projects. proven communication and problem-solving skills to resolve support issues as they arise. responsibilities Qualifications Strong sense of urgency Bachelor’s degree in Computer science, Information Systems or equivalent experience required. 3+ years served as Data Engineer or Data Operations role 3+ years of experience working with SQL 2+ years of experience with Microsoft Azure Data Lake, Data Factory, and SQL Database products or equivalent products from other cloud services providers Expert knowledge and experience developing efficient ETL data pipelines having multiple sources Experienced in the use of standard ETL tools and techniques (e.g. SSIS or any equivalent ETL tools) Familiar with modern data lake, data warehousing, and ETL/ELT concepts Knowledgeable about data modeling, data access, and data storage techniques. Ability to work in an Agile Scrum environment Strong written and verbal communication skills