Executive - Data Science

2 weeks ago


Thāne, Maharashtra, India Tata AIA Life Full time
**Job Description

A Position Overview

Position Title
Junios Data Engineer - Azure / JDE(A)

Department
IT

Level / Band

Role Summary:

  • Have excellent problemsolving and troubleshooting skills. This also includes the ability to search and find the optimal solutions for a Data Engineering problem.
  • Have an innovative mindset to challenge existing solutions on their inefficiency and provide better alternatives.
  • Be a team player having decent interpersonal capabilities to liaise with other Data Engineers, Data Scientists and Analysis, ML Engineers and other technical counterparts in a datadriven organization.
  • Be able to follow the instructions for deploying artifacts in production environment.
  • Be able to work in a fastpaced Agile environment with a Fail-Early / Fail-Fast mindset.
  • Be having excellent verbal and written communication skills.
  • Be flexible in providing extended support occasionally to meet project timelines
  • Be able to flag issues at an early stage to avoid delivery risks.

B Organizational Relationships

Reports to
Data Lake Architect, Senior Data Engineers, VP - Data Initiatives

Supervises
NA

C Job Dimensions

Geographic Area Covered

Stakeholders Internal

External

D Key Result Areas

Project / Delivery Management

  • Ensure the solution meets overall business requirements and adheres to modern Data Lake patterns.
  • Collaborate with project managers to estimate, plan and execute sprints.
  • Liaise with Data Lake Architect to understand core technical and functional requirements.
  • Develop extensible pipelines with a "Reuse Later" mindset to develop artifacts (code, libraries, patterns, consumable frameworks etc.) which can be utilized later with customizations.
  • Identify potential areas of improvement in order to optimize the pipelines
  • Follow quality assurance initiatives
  • DevOps tools implementation for CI/CD.
  • Contribute to overall system documentation

Misc

  • Ensure compliance to AIA and TALIC rules and standards
  • Constantly align with the IT team, Vendor team and business stakeholder

E Skills Required

Technical

  • 5+ yrs of experience in developing cloudbased analytics solutions with a minimum of 2 yrs core experience in MS Azure.
  • Strong development and problemsolving skills.
  • A fair understanding of commonly used data offerings on Azure.
  • Working knowledge in Azure Data Factory, Azure Synapse, Azure Data lake, Azure SQLand App Services.
  • Development of data workflows and pipelines using ETL or ELT approach, API based ingestions and Steaming solutions.
  • Knowledge of Dev-Ops processes and handson experience in implementing pipelines using CI/CD methodology
  • Working Knowledge of Python, Spark and Powershell
  • Good to have Pyspark, Scala.
  • Comfortable in adopting securityfirst development principles.
  • Knowledge of Snowflake, Tableau and Microsoft BI Stack is a plus.

Behavioral

Essential

Desired

Interpersonal skills

Communication skills

Creative thinking skills

Supervising/Leadership skills

Teamwork Skills

Influencing skills

Relationship Building skills

Decision making skills

F Incumbent Characteristics

Essential

Desired

Qualification

B.E / B.Tech

  • Azure Data Engineer
  • Other Azure certifications

Experience

  • 5+ yrs of overall experience developing Data Engineering solutions on cloud platforms
  • 2+ yrs of experience with MS Azure.
  • Working knowledge in Azure Data Factory, Azure Synapse, Azure Data lake, Azure SQLand App Services.
  • DevOps tools implementation for CI/CD.
  • Good interpersonal and communication skills with ability to build productive relationships across the participants in the ecosystem


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