Senior Specialist - Data Engineering

• *Role description**

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

• *Skills**

• *Mandatory Skills :** ETL Concepts, Microsoft Fabric \- Warehousing, MySQL, Tableau

• *About LTM**

LTM is an AI\-centric global technology services company and the Business Creativity partner to the world’s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI — enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM — a Larsen \& Toubro company — owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert \- https://www.ltm.com/careers/recruitment\-fraud\-alert