Data Engineer
- Tata Digital
- 3 - 8 years
- Bengaluru
- 4 months ago
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Job Description
Job Description
Data Engineer
1
STRICTLY
CONFIDENTIAL TATA DIGITAL LIMITED
Company Tata Digital Limited
Company Overview
The Tata Group is building a digital Consumer platform which aims to leverage strong hooks among existing loyal consumers of the Group as well as attract new consumers.
The Group will drive deep loyalty, engagement and a seamless journey with its consumers through this platform. Deep analytics shall be at the core of the business model and the Group shall build significant capabilities in this area as a differentiator.
Experience Level
2 3yrs (Data Engineer)
Location
Bangalore
Functional / Technical Skills
Data Engineer
- Skilled and proficient on Azure Data Engineering Tech stacks (ADF, Databricks)
- Big data development experience Kafka ( good to have).
- Experience in building small to medium complex data integration pipelines for Data at Rest and streaming data using Spark.
- Strong knowledge on Pyspark and SQL.
- Good understanding of Data Warehousing concepts
- Excellent written and verbal communication skills
Roles/Responsibilities
- Active involvement in building of Data acquisition, Data management, Data integration and Data Security solutions.
- Design new processes and builds large, complex data sets
- Should possess excellent analytical skills and troubleshooting ideas
- Should be aware for Agile Mode of operations and should have been part of scrum teams.
- Should be open to work in Devops model with responsibilities of Dev and Support both as application goes live
- Should be open to work in fast paced, project with multiple stakeholders.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full timeContact Details:
Company: Tata DigitalLocation(s): Bengaluru+ View Contact
Keyskills: Analytical skills Data management data security Agile Scrum Troubleshooting big data Data warehousing Analytics SQL
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