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Lead Data Engineer
Job description
Key Requirement for the Position Microsoft ETL, SSIS, ADF, Experience on Azure technology stalk. Experience required: 7 to 10 years Job Description Technical Expertise: * Should have experience of working on Microsoft Azure tools like Spark, Databrick, Synapse (knowledge of these will be an added advantage). * Should be very strong on BI and EDWH concepts.
- Must have good experience on working on Microsoft technologies. * Role demands working on ADF, SSIS, Data Analysis, EDW. * The work includes data extraction, data transformation, data load, data quality management, and data audit process. * Design, develop and implement data integration (ETL) processes to transform structured data, unstructured data, disparate source data into the target data warehouse or other source applications * Work with service & support team to resolve escalated operational issues and able to work independently with customers and drive solutions * Excellent knowledge of data extraction, data transformation, and data load the concepts and technology * Strong expertise in backend database development (i.
e. Microsoft SQL) * Should be able to handle a small team and mentor them for quality deliveries General skills and attributes: * Good communication skill * Proven ability and commitment to working collaboratively toward common goals * Possess effective planning and problem-solving skills * Multi-tasking attitude, equally comfortable operating from within both the technology & business environments.
- Highly motivated * Focused on a quality outcome * Excellent inter-personal skills Requirements Qualifications B.Tech or equivalent qualification
Description copied from Spectral Consultants's careers page. Read the full posting before you apply.
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