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 stability and reliability of daily/monthly end-to-end data flow refreshes

Guarantee smooth, accurate, and timely dashboard publications, including validation of figures prior to release

Support adoption of new data referentials, business rules, and operating models; monitor and drive Data Quality

Partner with the 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 end-to-end 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 non-ingested sources through manual, authorized, governed flows

Maximize dimension completeness and ensure accurate dimension allocations through close collaboration with SMEs and Data Domains

Enhance reliability, performance, and scalability of SE Intel data assets

Contribute to adoption of new data platform architectures and AI capabilities to support Schneider Electrics data transformation journey; manage data projects with 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 SQL-based simulations

Coordinate cross-stream deployments to ensure successful and timely delivery of data solutions

Promote best practices in data governance documentation compliance and end-to-end 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