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Senior Data Engineer - Data Pipeline Transition and Platform Delivery

S&P Dow Jones Indices

Full time Hybrid
Experience
8+ years
Location
Hyderabad
Work mode
Hybrid
Salary
₹7.5L – ₹23L a year estimatetypical for IT Jobs in Hyderabad, 65 posts
Posted 1 month ago

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Role at a glance

You will
  • Partner with the Databricks team to plan and execute pipeline transitions
  • Drive implementation of repeatable engineering patterns for ingestion, transformation, testing, deployment, and monitoring
  • Ensure pipelines support long-term platform consistency, reliability, observability, and ease of support
Experience
8+ years
Must-have skills
AWSData EngineeringDatabricks
Work mode
Hybrid

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Job description

Location: Hyderabad, Telangana
Department: Engineering

We are seeking a Senior Data Engineer to lead the transition of existing data pipelines to a target data platform, leveraging Databricks and AWS services.

Key Responsibilities:

  • Partner with the Databricks team to plan and execute pipeline transitions
  • Drive implementation of repeatable engineering patterns for ingestion, transformation, testing, deployment, and monitoring
  • Ensure pipelines support long-term platform consistency, reliability, observability, and ease of support
  • Guide the design and operation of cloud-native data pipelines using AWS services such as S3, Glue, Lambda, Kinesis, and Lake Formation
  • Promote secure access to platform resources and data products using IAM, encryption, and environment-level controls
  • Support lakehouse technologies and concepts such as Delta Lake, Apache Iceberg, and Databricks Unity Catalog

Requirements:

  • 8+ years of experience in data engineering, data platforms, or related domains
  • Proven ability to drive technical initiatives and influence engineering outcomes
  • Experience with Databricks-based data platforms and AWS cloud-native data engineering
  • Strong familiarity with technologies such as Delta Lake, Apache Iceberg, and lakehouse architecture
  • Experience with AI tooling and LLM-enabled engineering

Benefits:

  • Competitive salary
  • Opportunities for growth and development
  • Collaborative and dynamic work environment

Key skills

Required

AWSData EngineeringDatabricks

Job market insights

383active AWS jobs in Hyderabad
102active Data Engineering jobs in Hyderabad
91active Databricks jobs in Hyderabad
₹7.5L – ₹23L advertised yearly salary for IT Jobs in Hyderabad (middle half of 65 posts that show a salary; median ₹15L)
3 more open jobs at S&P Dow Jones Indices

Most IT Jobs posts in Hyderabad ask for 3–6 years of experience (47% of 1163 that say).

Hiring most for IT Jobs in Hyderabad

  • Salesforce51 open jobs
  • JPMorgan Chase44 open jobs
  • Kyndryl30 open jobs

Jobs asking for AWS in Hyderabad also ask for

  • Python56%
  • CI/CD50%
  • Microsoft Azure46%
  • Google Cloud Platform (GCP)38%
  • Java37%

From live job posts on CoreHRx, updated 9 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.

Questions about this job

What is the salary for this Senior Data Engineer - Data Pipeline Transition and Platform Delivery job?

The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹7.5L – ₹23L a year (typical for IT Jobs in Hyderabad, 65 posts).

How much experience does this job need?

The post asks for 8 Yrs experience.

Where is this job based?

In Hyderabad (hybrid).

What kind of job is this?

It is a full time job.

This page is for Indian job seekers preparing for cloud engineer, DevOps, backend and solutions architect roles that list AWS as a skill, whether you are a fresher with a first certification or an experienced engineer moving into a senior role. It covers 60 questions in three levels: core services and concepts, then design and configuration choices for one to three years of experience, and finally scenario, security, cost and troubleshooting questions asked in senior rounds. Read each answer, explain it aloud in your own words, and try the CLI commands in a practice account with a billing alert set.

Questions you may be asked

  1. What is the difference between an AWS Region and an Availability Zone?
  2. Explain the AWS shared responsibility model.
  3. What is Amazon EC2, and how do you read an instance type name like m7g.large?
  4. What is Amazon S3, and what are its main storage classes?

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