Senior Specialist - Data Engineering

Data Performance Data Analyst position Exp: 8 to 11 years Candidate has to go to client office all 3 days in a week Client Office Location Bangalore Karnataka Primary Skills Advanced SQL Data Analytics Data Analysis Business Intelligence BI Advanced Excel Finance Financial Analysis Business Analysis Data Management ETL Data Warehouse Data Warehousing Data Lake Data Mart Master Data Management MDM Data Quality Data Governance Secondary Skills Power BI Tableau Data Visualization Data Security Data Integrity Business Requirements Gathering Data Modeling Scalable Data Solutions Customer Master Data Product Master Data Agile Waterfall Data Science Analytics Certifications Key Responsibilities Responsibilities of the SE Intel Data Analyst Manage Run activities Ensure the stability and reliability of dailymonthly endtoend data flow refreshes Guarantee smooth accurate and timely dashboard publications including validation of figures prior to release Support the adoption of new data referentials business rules and operating models Monitor and drive Data Quality Partner with Data Quality team to identify root causes of data issues and define ETL backend solutions Monitor and improve dimension completeness of ETL datasets Define and maintain data quality rules and controls to ensure data accuracy and consistency Manage KPI accreditation and ensure compliance with the 4 Data Golden Rules Deliver and optimize end to end data flows Deliver new endtoend data flows from ADL to SE Intel by translating business requirements into scalable and reliable data solutions Optimize existing data flows by simplifying architectures maximizing connection to Reusable Data objects and complementing noningested sources by manual authorized governed flows 
 Maximize dimension completeness and ensure accurate dimension allocations through close collaboration with SMEs and Data Domains 
 Enhance the reliability performance and scalability of SE Intel data assets 
 Contribute to the adoption of new data platforms architectures and AI capabilities to support Schneider Electrics data transformation journey Manage data projects fostering Data governance 
 Use Agile methodology used by SE Intel team 
 Define optimize and document technical requirements data flows and refresh processes 
 Ensure ETL backend solutions comply with the 4 Data Golden Rules and data governance standards 
 Support solution design testing and validation activities through data analysis and SQLbased simulations 
 Coordinate crossstream deployments to ensure successful and timely delivery of data solutions Promote best practices in data governance documentation compliance and endtoend data traceability Technology Skills Experience Education / Experience / Technical Expertise Bachelors or Masters degree in Data Science Data Analytics Computer Science Engineering or a related field Relevant technical certifications are a plus 10 years of experience in Data Analytics and Business Intelligence environments including 7 years as a handson Data Analyst 5 years in Advanced SQL Expertise in Excel for data analysis simulations testing and business usecase development Strong experience in FinanceBusiness Analysis and Data Management Strong understanding of endtoend data ecosystems including ETL processes Data Lakes Data WarehousesData Marts and master data domains Customer Product etc Proven experience translating business requirements into scalable data solutions and actionable insights Experience delivering projects using both Agile and Waterfall methodologies Experience with visualization platforms such as Tableau or Power BI is considered an asset Strong focus on data quality security governance and integrity