Data Engineer

Role Overview

We are looking for a Data Engineer who will design, implement and support an analytical data infrastructure providing ad-hoc access to large datasets and computing power. The role is part of a global centre of excellence in Pune, delivering mission critical data services to its global customers.

What You Will Do

Design, implement and support an analytical data infrastructure, interface with other technology teams to extract, transform and load data, and continually research the latest big data and visualization technologies.

Why It Might Be a Fit

The ideal candidate will have 3-5 years of industry experience in software development, data engineering, business intelligence, data science, or related field, with a track record of manipulating, processing, and extracting value from large datasets.

Requirements

• 3-5 years of industry experience in software development, data engineering, business intelligence, data science, or related field
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical discipline
• Demonstrated strength in data modeling, ETL development, and data warehousing
• Experience using big data processing technology using Spark
• Knowledge of data management fundamentals and data storage principles
• Experience using business intelligence reporting tools (Tableau, Business Objects, Cognos, Power BI etc.)
• Experience working with AWS big data technologies (Redshift, S3, EMR, Spark)
• Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
• Experience working with distributed systems as it pertains to data storage and computing
• Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations