Associate Data Engineer (1-4 Years)

Data Science | Job ID:Ecom0005

Posted: Apr 13, 2021

Updated 10 months ago


  • Propose, Develop & implement best in class, high-performance architectural solution for a BI Data Platform on cloud infrastructure
  • Define and create system architecture design specifications, data mapping and data transformation rules
  • Develop innovative approaches on performance optimization & automation
  • Analyzing enterprise specifics to understand current-state data schema and data model and contribute to define future-state data schema, data normalization and schema integration as required by the project
  • Ensure data mapping, data quality and data validation specifications & standards and data cleansing/data scrubbing techniques adhered to consistently
  • Understanding business objectives and develop business intelligence applications that help to monitor & improve critical business metrics
  • Improve key organizational metrics by collaborating with data scientists, operations & application development teams to understand, and resolve critical business challenges by driving better visibility into data
  • Perform transformations on big data and automate due diligence on data quality
  • Collaborate with the Operations, Network, Control Tower and Business Analysis team to Develop cutting edge analytics solutions that improve the business
  • Maintain thorough and comprehensive documentation of data schema, data models, architecture, etc.
  • Develop robust work products by following best practices through all stages of development, testing & deployment


  • Proficient in Python, Java & R, with sound knowledge of OOPS concepts
  • 1-3 years of experience in building large scale distributed enterprise applications using big data technologies such as Spark & Hadoop
  • High level of proficiency in querying & processing data with Spark, Hive, Pig, SQL, etc.
  • Experience with caching and queueing technologies – Kafka/Kinesis, Rabbitmq/SQS, Redis/Memcache etc.
  • Extensive experience solving analytical problems using quantitative approaches for large datasets
  • Hands on experience of developing high performing scalable Platform architecture using Public cloud like AWS & Azure
  • Hands on experience working with various database technologies such as, HBase, MongoDB, Neo4j, Cassandra, etc.
  • Working experience of a variety of cloud products and services (e.g. Amazon EC2, Amazon S3, Amazon DynamoDB, Amazon Redshift, Amazon CloudFront, Amazon EMR and/or Azure equivalent)
  • Knowledge of data visualization tools & technologies such as Power BI, Tableau, d3.js, etc.
  • Data Modeling (logical/Physical), ETL Routines
  • Excellent communication skills and ability to effectively manage stakeholders
  • Experience with REST APIs, Python Django/Flask
  • Familiarity with Machine Learning and Artificial Intelligence Approaches would be preferred
Apply for this job


Data Science

Experience Required

1-4 Years


BE/Tech in in Engineering, Masters/PhD candidates preferred



Employment Type

Full time

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