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

  • HuQuo
  • India, G...
  • 4 - 9 Yrs

Job Description

  • 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

Job 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

Location

Gurgaon, Haryana, India

About Company

HuQuo (derived from Human Quotient) is the next stage in the evolution of HR. In an industry thirsty for innovation, HuQuo is a fresh perspective towards people and organizations. At HuQuo,we do not look at human beings as mere resources, but as an ocean of untapped potential. Human Quotient goes beyond IQ and EQ. It’s the holistic representation of all human potential. We strategically manage this Human quotient. We believe that every organization has a human like individuality which can help nurture and flourish those individuals that resonate with it. Our endeavor is to bring such high resonance individuals and organizations together. We will achieve this through extensive use of analytics and deep immersion to understand the core of the organizations and people we work with.