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About GroundTruth:
GroundTruth is a media platform that drives in-store visits and other real business results. Using observed real-world consumer behavior, including location and purchase data, we create targeted advertising campaigns across all screens for advertisers. We then measure how consumers respond to the campaigns, including if they physically show up to a store location or website, to understand the real business results generated by a brand’s advertising.
Responsibilities:
- Create and maintain various data 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 location platform.
Requirements:
- Experience with AWS Stack used for Data engineering EC2, S3, Athena, Redshift, EMR, ECS, Lambda, and Step functions
- Experience in Hadoop, MapReduce, Pig, Spark, Glue
- Hands on experience with Python for orchestration of data pipelines and Data engineering tasks
- Experience in writing analytical queries using SQL
- Experience in Airflow
- Experience in Docker
- Proficient in Git
Eligibility Criteria:
1)BTech./B.E./MTech/MCA
2)Experience: 0 to 3 years
2)Year Of Passing: 2015 to 2024