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* Data Engineer (Mid / Senior / Lead)* Full-Time / Contract-to-Hire * Bangalore, Hyderabad, Chennai* Hybrid

Role: Data Engineer (Mid / Senior / Lead)

Employment Type: Full-Time / Contract-to-Hire (6 months, with potential conversion to Full-Time)

Locations: Bangalore, Hyderabad, Chennai

Work Model: Hybrid

Urgency Note

This is an immediate requirement, and we are actively looking to onboard candidates at the earliest. We are open to both full-time employment as well as contract-to-hire (6 months, extendable/convertible to full-time) based on candidate preference and business needs.

Role Overview

We are looking for highly skilled Data Engineers to design, build, and optimize scalable data pipelines and modern data platforms. The ideal candidate should have strong hands-on experience with Python, SQL, Spark, Databricks, and cloud platforms (AWS/Azure/GCP), along with a solid understanding of data modeling, ETL/ELT processes, and distributed computing.

This role spans multiple seniority levels, with responsibilities ranging from execution to architecture and technical leadership.

About the End Client

Our client is a global leader in marketing, advertising, and data-driven digital transformation, working with Fortune 500 brands across industries. The organization operates at massive scale, leveraging advanced data platforms to power customer intelligence, audience targeting, and analytics-driven decision-making.

The environment offers exposure to:

Large-scale, high-volume data systems

Advanced cloud-native architectures

Cutting-edge use cases in AdTech and customer analytics

Common Tech Stack

Languages: Python, SQL

Big Data: Apache Spark, Databricks

Cloud: AWS (S3, EMR, Athena), Azure (ADF, Databricks)

Orchestration: Airflow, Databricks Workflows

Modeling: DBT, Data Warehousing

Databases: PostgreSQL, MySQL, NoSQL

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Open Positions

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a) Senior Data Engineer – 2 Positions (5–7 Years)





Role Focus

End-to-end ownership of data pipelines and system optimization.

Key Responsibilities

Design and implement scalable, production-grade data pipelines

Build and manage data lake / data warehouse architectures

Optimize Spark/Databricks workloads for performance and cost

Implement advanced data modeling (SCD Type 2/4, dimensional models)

Drive cloud migration and modernization initiatives

Ensure data quality, monitoring, and observability

Mentor junior engineers and review code

Required Skills

Strong expertise in Python, SQL, Spark, Databricks

Experience with DBT / up-to-date data stack

Hands-on with AWS/Azure cloud services

Solid understanding of data warehousing & modeling

Experience with Airflow / orchestration tools

Familiarity with CI/CD and DevOps practices

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b) Lead Data Engineer – 1 Position (7–9 Years)Role Focus

Architecture, strategy, and technical leadership.

Key Responsibilities

Architect end-to-end data platforms and ecosystems

Define data engineering standards, frameworks, and best practices

Design high-volume, low-latency data processing systems

Lead Databricks-based platform design and governance

Drive cloud strategy, scalability, and cost optimization

Oversee data governance, security, and compliance

Lead teams and collaborate with stakeholders on data strategy

Required Skills

Expert-level expertise in Spark, Databricks, distributed systems

Strong experience in cloud architecture (AWS/Azure/GCP)

Proven track record in building large-scale data platforms





Deep knowledge of data modeling and pipeline optimization

Strong leadership and stakeholder management experience

Experience managing end-to-end delivery of data projects

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c) Mid-Level Data Engineer – 1 Position (3–5 Years)Role Focus

Execution, development, and optimization of data pipelines under guidance.

Key Responsibilities

Build and maintain ETL/ELT pipelines

Develop data transformations using Python, SQL, PySpark

Work with Databricks and cloud data services

Support data modeling and warehousing efforts

Debug, test, and optimize existing pipelines

Collaborate with senior engineers on implementations

Required Skills

Strong in Python and SQL

Hands-on experience with Spark / Databricks

Familiarity with Airflow or similar orchestration tools

Basic understanding of data warehousing concepts

Exposure to AWS/Azure/GCP

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Soft Skills

Strong analytical and problem-solving skills

Excellent communication and collaboration

Ownership mindset and accountability

Ability to work in fast-paced, agile environments

End Note

If you are passionate about building scalable data systems, working with modern cloud and big data technologies like Databricks and Spark, and want to be part of a high-impact, fast-paced environment—this is an excellent opportunity to grow your career.

We are prioritizing candidates who can join immediately or within short notice, and who are excited to work on large-scale, data-driven platforms with real-world business impact.

Interested candidates can share their updated resumes along with the following details:

- Current CTC
- Expected CTC
- Notice Period / Earliest Joining Availability
- Current Location

Apply on Kit Job: kitjob.in/job/43vlp1

📌 Data Engineer - Lead/Senior/Mid - 3-9 years - Hybrid - Bangalore, Hyderabad, Chennai (Nellore)
🏢 AMRR TechSols
📍 Nellore