Job Description & Responsibilities

Common Skillsets:
5+ years of experience in analytics, Oracle, ETL, Python and associated data engineering jobs.
Must have experience with managing and transforming big data sets using pyspark, spark-scala
Experience with AWS services - Glue, Lambda, EMR, Redshift, RDS
Excellent communication & presentation skills
Experience in managing Python codes and collaborating with customer on model evolution
Good knowledge of data base management and Hadoop/Spark, SQL, HIVE, Python (expertise).
Superior analytical and problem solving skills
Should be able to work on a problem independently and prepare client ready deliverable with minimal or no supervision
Good communication skill for client interaction
Data Management Skillsets :
Ability to understand data models and identify ETL optimization opportunities. Exposure to ETL tools is preferred
Should have strong grasp of advanced SQL functionalities (joins, nested query, and procedures).
Strong ability to translate functional specifications / requirements to technical requirements
Bachelor's/Master's degree in economics, mathematics, actuarial sciences, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply
Strong and in-depth understanding of DE Fundamentals
Data analysis experience
Superior analytical and problem solving skills
Outstanding written and verbal communication skills
Able to work in fast pace continuously evolving environment and ready to take up uphill challenges.

Assistant Manager/Senior Manager - AWS/Data Engineering |Gurugram|5+Yrs

Job Description & Responsibilities

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