Data Engineer

4 weeks ago

Gurugram, India EXL Full time

Role Overview: We are looking for a go-getter person who can help support: o Data strategies to meet the demands of business requirements


Technical requirements of the organizational data needs from diverse teams


Data architecture, models and go-forward data solutions for various teams of the organization • The person will be part of the Data Solutions team for a major Insurance client. He/ She will work with different stakeholders as SME for data engineering; A typical workday will involve working with stakeholders in individual contributor.

• Engages in technical problem solving across multiple technologies; often develop new solutions and recommend technologies that can be leveraged to create data solutions

• You will develop, construct, test, and maintain data pipelines/assets for data platform, database and analytical/reporting systems.

• You will partner with other technology platform teams to leverage innovative and new technology for delivering solutions that best fit internal data needs for various analytical solutions • You will handle codes independently, manage them and also guide other team members around its development/management

Key Responsibilities & Skillsets:

• Common Skillsets: o 4+ years of experience in Data Engineering: SQL, DWH (Redshift), Python and associated data engineering jobs.

Experience with AWS core technologies; Lambda, S3, EMR, Glue, Redshift, step-functions

o Experience with building and supporting cloud based ETL (Extract Transform Load) Data Pipelines o Excellent communication & presentation skills o Should be able to work on a problem independently and prepare client ready deliverable with minimal or no supervision

o Experience with working in an agile environment, development life cycle and with diverse stakeholders (like IT, Business, Project Managers etc)

• Data Management Skillsets:

o Ability to develop, enhance data models and identify ETL optimization opportunities. Exposure to ETL tools is going to help in the work o Should have strong grasp of advanced SQL functionalities (joins, nested query, procedures, PL/SQL)

o Strong grasp of python libraries and concepts around PySpark, Numpy, Pandas, functions, constructors etc

o 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

• 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

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