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Data Engineer
1 week ago
Job Description :
Role Overview :
We are looking for a go-getter person who can define :
- Data strategies to meet the demands of business requirements
- Technical requirements of the organizational data needs from diverse teams
- Data architecture, models and goforward 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 architectures 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 :
- 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, stepfunctions
- 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)
Data Management Skillsets :
- Ability to develop, enhance data models and identify ETL optimization opportunities.
- 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
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 indepth understanding of DE Fundamentals
- Exposure on designing ETL data pipelines and data analysis
- Exposure on endtoend data lifecycle management
- Superior analytical and problemsolving 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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