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Sr. Data Analytics Engineer (Azure Data Factory)

3 - 4 years

5 - 6 Lacs

Gurugram

Posted:1 month ago| Platform: Naukri logo

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Skills Required

Computer science Business process Performance tuning Usage Production support Analytical power bi Data warehousing Downstream Recruitment

Work Mode

Work from Office

Job Type

Full Time

Job Description

About Gartner IT: Join a world-class team of skilled engineers who build creative digital solutions to support our colleagues and clients. We make a broad organizational impact by delivering cutting-edge technology solutions that power Gartner. Gartner IT values its culture of nonstop innovation, an outcome-driven approach to success, and the notion that great ideas can come from anyone on the team. About the role Senior Data engineer for production support who will provide daily end-to-end support for daily data loads & manage production issues. What will you do: Monitor & support various data loads for our Enterprise Data Warehouse. Support business users who are accessing POWER BI dashboards & Datawarehouse tables. Handle incidents, service requests within defined SLA s. Work with team on managing Azure resources including but not limited to Databricks, Azure Data Factory pipelines, ADLS etc. Build new ETL/ELT pipelines using Azure Data Products like Azure Data Factory, Databricks etc. Help build best practices & processes. Coordinate with upstream/downstream teams to resolve data issues. Work with the QA team and Dev team to ensure appropriate automated regressions are added to detect such issues in future. Work with the Dev team to improve automated error handling so manual interventions can be reduced. Analyze process and pattern so other similar unreported issues can be resolved in one go. What you will need: Strong IT professional with 3-4 years of experience in Data Engineering. The candidate should have strong analytical and problem-solving skills. Must have: 3-4 years of experience in Data warehouse design & development and ETL using Azure Data Factory (ADF) Experience in writing complex TSQL procedures on MPP platforms - Synapse, Snowflake etc. Experience in analyzing complex code to troubleshoot failure and where applicable recommend best practices around error handling, performance tuning etc. Ability to work independently, as well as part of a team and experience working with fast-paced operations/dev teams. Good understanding of business process and analyzing underlying data Understanding of dimensional and relational modelling Detailed oriented, with the ability to plan, prioritize, and meet deadlines in a fast-paced environment. Can be added to SDE Knowledge of Azure cloud technologies Exceptional problem-solving skills Nice to have: Experience crafting, building, and deploying applications in a DevOps environment utilizing CI/CD tools Understanding of dimensional and relational modeling Relevant certifications Basic knowledge of Power BI. Who are you: Bachelor s degree or foreign equivalent degree in Computer Science or a related field required Excellent communication skills. Able to work independently or within a team proactively in a fast-paced AGILE-SCRUM environment. Owns success - Takes responsibility for the successful delivery of the solutions. Strong desire to improve upon their skills in tools and technologies

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