Job Description & Responsibilities

4+ years of experience in Data Engineering: SQL, DWH (Redshift), Python (PySpark), Spark and associated data engineering jobs.
Experience with AWS core technologies; Lambda, S3, EMR, Glue, Redshift, step-functions
Experience with building and supporting cloud based ETL (Extract Transform Load) Data Pipelines
Excellent communication & presentation skills
Should be able to work on a problem independently and prepare client ready deliverable with minimal or no supervision
Experience with working in an agile environment, development life cycle and with diverse stakeholders (like IT, Business, Project Managers etc)
Ability to develop, enhance data models and identify ETL optimization opportunities.
Exposure to ETL tools is going to help in the work
Should have strong grasp of advanced SQL functionalities (joins, nested query, procedures, PL/SQL)
Strong grasp of python libraries and concepts around PySpark, Numpy, Pandas, functions, constructors etc
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
Exposure on designing ETL data pipelines and data analysis
Exposure on end-to-end data lifecycle management
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

Data Engineer - ETL/Data Warehousing|Gurgaon/Gurugram|4+Yrs

Job Description & Responsibilities

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