Data Engineer

4 weeks ago

GurgaonGurugram, India HuQuo Consulting Pvt. Ltd. Full time

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 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 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, 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)

Data Management Skillsets :

- 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

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

(ref:hirist.tech)

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