


Design a multi-tier data pipeline to feed data into applications for building a full-featured analytics environment. Develop high-quality code to support the platform's technical architecture and design. Participate and contribute to an effective software development lifecycle using Scrum and Agile. Collaborate with global teams and work as one team. what you get to do:
You'll work on the design, implementation, and maintenance of data pipelines. Design and build database schemas to handle large-scale data migration & transformation. Capable of designing a high-performance, scalable, distributed product in the cloudAWS, GCS. Review developmental frameworks, and coding standards, conducts code reviews and walkthroughs, and conduct in-depth design reviews. Identify gaps in the existing infrastructure and advocate for the necessary changes to close them. Who we are looking for:
4 to 7 years of industry experience working in Spark and Scala/Python. Working experience with big-data tech stacks like Spark, Kafka & Athena. Extensive experience in SQL query optimization/tuning and debugging SQL performance issues. Experience in ETL/ELT process to move data through the data processing pipeline. Be a fearless leader in championing smart design. Top 3 primary skills and expertise level requirements ( 1 to 5; 5 being expert)
Excellent programming experience in Scala or Python. Good experience in SQL queries and optimizations. 2 to 3 years of Spark experience. Nice to have experience in Airflow. Nice to have experience with AWS EMR, Lambda, and S3.
Employment Type - FULLTIME
Industry Type - Media / Entertainment / Internet
Seniority Level - Mid-Senior-Level
Work Experience(in years) - 4 - 7 Years
Education - B.Tech/B.E.
Skills - Python, Scala, Ms Sql Server, Aws

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- Excellent oral and written communication skills.
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