Data Engineer
Pune, India
METRO/MAKRO
METRO is a partner of many small and mid-sized independent companies. Their success is our business. The group is headed by METRO AG, which acts as the central management holding company.Company Description
Metro Global Solution Center (MGSC) is internal solution partner for METRO, a €29.8 Billion international wholesaler with operations in 31 countries through 661 stores & a team of 93,000 people globally. Metro operates in a further 10 countries with its Food Service Distribution (FSD) business and it is thus active in a total of 34 countries.
MGSC, location wise is present in Pune (India), Düsseldorf (Germany) and Szczecin (Poland). We provide IT & Business operations support to 31 countries, speak 24+ languages and process over 18,000 transactions a day. We are setting tomorrow’s standards for customer focus, digital solutions, and sustainable business models. For over 10 years, we have been providing services and solutions from our two locations in Pune and Szczecin. This has allowed us to gain extensive experience in how we can best serve our internal customers with high quality and passion. We believe that we can add value, drive efficiency, and satisfy our customers.
Website: https://www.metro-gsc.in
Company Size: 600-650
Headquarters: Pune, Maharashtra, India
Type: Privately Held
Inception: 2011
Job Description
Data Pipeline Development: Design, develop, and maintain robust ETL (Extract, Transform, Load) processes and data pipelines that efficiently handle large volumes of data.
Database Design: Design and implement database structures, schemas, and models that support business requirements and data integrity.
Performance Tuning: Monitor and enhance the performance of data processing systems, including optimizing queries, and tuning data pipelines.
Troubleshooting: Diagnose and resolve database issues, including performance problems and other data issues.
Collaboration: Work closely with application developers, business analysts, and business stakeholders to understand data requirements and deliver data solutions that meet their needs.
Data Quality Assurance: Implement data validation and cleansing processes to ensure data accuracy and integrity.
Documentation: Document data workflows, pipelines, and system configurations to ensure transparency and maintainability.
Technology Evaluation: Stay current with emerging data technologies and best practices and recommend improvements to existing systems and processes.
Qualifications
Bachelor's/master’s degree in computer science, Software Engineering (or equivalent experience).
At least 4+ years of experience data analysis
MSSQL, PostgreSQL, Python and MS Excel.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data analysis Data pipelines Data quality Engineering ETL Excel MS SQL Pipelines PostgreSQL Python
Perks/benefits: Transparency
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