Software Engineer-Data Engineer

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GroundTruth

📍Remote - India

Summary

Join GroundTruth's Audience team as a Software Engineer and contribute to building data pipelines and infrastructure for our platform. You will work with various data sources using SQL and AWS big data technologies, collaborating with stakeholders to resolve data-related issues. This remote role in India requires experience in data engineering, AWS, and big data technologies like Hadoop and Spark. GroundTruth offers a comprehensive benefits package including parental leave, flexible time off, health insurance, wellness programs, and various reimbursements.

Requirements

  • Tech./B.E./M.Tech./MCA or equivalent in computer science
  • 3-4 years of experience in Data Engineering
  • 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 in Git

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

Preferred Qualifications

  • Knowledge of Rest APIs
  • Any experience with big data technologies like Hadoop, Map Reduce, Pig is a plus
  • Knowledge of shell scripting and Perl
  • Experience with BI tools like Looker and Tableau
  • Experience with DB maintainance
  • Experience with Amazon Web Services and Dockers

Benefits

  • Parental leave- Maternity and Paternity
  • Flexible Time Offs (Earned Leaves, Sick Leaves, Birthday leave, Bereavement leave & Company Holidays)
  • In Office Daily Catered Breakfast, Lunch, Snacks and Beverages
  • Health cover for any hospitalization. Covers both nuclear family and parents
  • Tele-med for free doctor consultation, discounts on health checkups and medicines
  • Wellness/Gym Reimbursement
  • Pet Expense Reimbursement
  • Childcare Expenses and reimbursements
  • Employee referral program
  • Education reimbursement program
  • Skill development program
  • Cell phone reimbursement (Mobile Subsidy program)
  • Internet reimbursement/Postpaid cell phone bill/or both
  • Birthday treat reimbursement
  • Employee Provident Fund Scheme offering different tax saving options such as Voluntary Provident Fund and employee and employer contribution up to 12% Basic
  • Creche reimbursement
  • Co-working space reimbursement
  • National Pension System employer match
  • Meal card for tax benefit
  • Special benefits on salary account

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