Executive - Data Science - Thane, India - Tata AIA Life
Description
**Job DescriptionA 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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