We are redirecting you to the source. If you are not redirected in 3 seconds, please click here.

Software Engineer- Data Engineering (Integration team) at GroundTruth. GroundTruth is an advertising platform that turns real-world behavior into marketing that drives in-store visits and other real business results. We use observed real-world consumer behavior, including location and purchase data, to create targeted advertising campaigns across all screens, measure how consumers respond, and uncover unique insights to help optimize ongoing and future marketing efforts.. With this focus on media, measurement, and insights, we provide marketers with tools to deliver media campaigns that drive measurable impact, such as in-store visits, sales, and more.. Learn more at . groundtruth.com.. We believe that innovative technology starts with the best talent and have been ranked one of . Ad Age’s Best Places to Work.  in 2021, 2022, 2023 & 2025! Learn more about the perks of joining our team . here.. You will:. . Create and maintain various ingestion pipelines for the GroundTruth platform.. . Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.. . Work with stakeholders, including the Product, Analytics and Client Services teams to assist with data-related technical issues and support their data infrastructure needs.. . Prepare detailed specifications and low-level design.. . Participate in code reviews.. . Test the product in controlled, real situations before going live.. . Maintain the application once it is live.. . Contribute ideas to improve the data platform.. . You have:. . Tech./B.E./M.Tech./MCA or equivalent in computer science. . 2-4 years of experience in Software Engineering. . Experience with AWS Stack used for Data engineering EC2, S3, EMR, ECS, Lambda, and Step functions . . Hands on experience with Python/Java for orchestration of data pipelines. . Experience in writing analytical queries using SQL. . Experience in Airflow . . Experience in Docker . . Proficient in Git. . . How can you impress us?. . Knowledge of REST APIs. . . Any experience with big data technologies like Hadoop, MapReduce, and Pig is a plus. . Knowledge of shell scripting.. . Experience with BI tools like Looker.. . Experience with DB maintenance.. . Experience with Amazon Web Services and Docker.. . Configuration management and QA practices.. . Company Location: India.