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AWS Data Engineer/Senior Manager - ETL/Python/Big Data|Gurugram|4+Yrs

  • HuQuo
  • India, G...
  • 5 - 9 Yrs

Job Description

  • Analytic strategies to meet the demands of business requirements
  • Technical requirements of the analytic solutions
  • Data requirements of the analytic solution processes
  • The person will be part of the Data Science team for a major Insurance client. He/ She will work with different stakeholders as SME for data engineering
  • Engages in technical problem solving across multiple technologies; often needs to develop new solutions
  • A typical work day will involve working with stakeholders in individual contributor.
  • A suitable candidate should have 5-8 years of experience in a similar role and should possess a go -getter attitude.
  • He/ She should be able to deal with ambiguity.
  • Experience in insurance preferred but not mandatory.

Job Responsibilities

  • 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 Skills:

  • 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


Candidate Profile:

  • 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

Location

Gurgaon, Haryana, India