Data Lead_ Hyderabad
4 weeks ago
Works closely with the businesses Data and Analytics teams and gathering technical requirements
Experience in building and maintaining reliable and scalable ETL pipeline on big data & / or Cloud
platform through the collection, storage, processing, and transformation of large datasets Support production issues as relate to application functionality and integrations
Must Haves:
Proficient in spoke n and writte n communication skills (verbal and non-verbal)
Proven experience in developing Big Data eco system/data ware houses and ETL pipelines (Min. 2 years)
Proficient in scripting capability for analysis and re porting using any one of the languages Python/R/scaIa programming Proficient SQL development skills with ability to write complex efficient queries for data integration
Analytical skills to support Business Analysts and ability to translate user stories / work closely with the
tech team
Must have strong experience in data warehouse concepts
Experience in Database design/data modelling in Data lake e nvironme nt is highly preferred
Strong problem-solving skills (Math skills required for data modelling)
Ability to manage and complete multiple tasks within tight deadlines
Working experience with any one of the cloud platforms namely Google cloud
Tech Stack:
Expert/proficient in scripting languages in python, pyspark, R, scala, SQL
Experience in AWS/GCP/Azure (AWS EMR, Databricks, Spark, Azure HDlnsight et al)
Understanding Data Lake, Lake House Concepts, any new Big Data eco system.
Good understanding of cloud Data Stack including services like S3, Redshift, EMR, Lambda, Athena & Glue.
Good understanding of Hadoop/HDFS
Preferred to have experience using Data modelling tools like ERWin, Visio et al.
Other Details
Keywords : .
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