Job description
Roles & Responsibilities:
Total Experience of 7-10 years and should be interested in teaching and research
3+ years’ experience in data engineering which includes data ingestion, preparation, provisioning, automated testing, and quality checks.
3+ Hands-on experience in Big Data cloud platforms like AWS and GCP, Data Lakes and Data Warehouses
3+ years of Big Data and Analytics Technologies. Experience in SQL, writing code in spark engine using python, scala or java Language. Experience in Spark, Scala
Experience in designing, building, and maintaining ETL systems
Experience in data pipeline and workflow management tools like Airflow
Application Development background along with knowledge of Analytics libraries, opensource Natural Language Processing, statistical and big data computing libraries
Familiarity with Visualization and Reporting Tools like Tableau, Kibana.
Should be good at storytelling in Technology
Please note that candidates should be interested in teaching and research work.Qualification: B.Tech / BE / M.Sc / MBA / B.Sc, Having Certifications in Big Data Technologies and Cloud platforms like AWS, Azure and GCP will be preferredPrimary Skills: Big Data + Python + Spark + Hive + Cloud ComputingSecondary Skills: NoSQL+ SQL + ETL + Scala + TableauSelection Process: 1 Hackathon, 1 Technical round and 1 HR roundBenefit: Free of cost training on Data Science from top notch professors
Key skills
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