Lead Data Engineer - ETL

ST Lead Data Engineer - ETL
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Srijan Technologies is a leading digital engineering company specializing in transformational solutions for Fortune 500 companies and nonprofits, enhancing their digital experiences through innovative services and partnerships.
Srijan Technologies
Employee count: 501-1000
India only

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About US:-
We turn customer challenges into growth opportunities. Material is a global strategy partner to the world’s most recognizable brands and innovative companies. Our people around the globe thrive by helping organizations design and deliver rewarding customer experiences.
We use deep human insights, design innovation and data to create experiences powered by modern technology. Our approaches speed engagement and growth for the companies we work with and transform relationships between businesses and the people they serve.
Srijan, a Material company, is a renowned global digital engineering firm with a reputation for solving complex technology problems using their deep technology expertise and leveraging strategic partnerships with top-tier technology partners. Be a part of an Awesome Tribe
Job Description:-

We are seeking a highly skilled and experienced Data Engineering Lead with strong expertise in AWS data services and retail data ecosystems. In this role, you will lead the design, development, and optimization of scalable data pipelines responsible for ingesting and transforming data from MMS (Merchandise Management Systems) and POS (Point of Sale) systems into a centralized Operational Data Store (ODS) to support downstream applications and analytics use cases.

You will play a critical role in building a robust, high-performance data platform using AWS-native services, ensuring data quality, reliability, and real-time or near real-time availability for business operations.

Responsibilities:-

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Design and implement scalable ETL/ELT pipelines to ingest data from MMS / POS or third practice systems into AWS-based data platforms.

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Build and maintain a centralized Operational Data Store (ODS) using Couchbase or similar NoSQL technologies, optimized for low-latency application access.

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Develop and optimize data processing workflows using Apache Spark / PySpark and AWS services such as AWS Glue and Amazon EMR.

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Create denormalized, API-ready data models aligned with downstream microservices and application consumption patterns.

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Implement idempotent processing, CDC merge (upsert) strategies, and data reconciliation mechanisms to ensure consistency across batch and streaming pipelines.

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Leverage Amazon S3, Amazon Redshift, or Amazon Aurora for efficient storage and querying of structured and semi-structured data.

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Implement data ingestion patterns (batch and streaming) using tools like Amazon Kinesis or AWS Lambda where applicable.

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Apply performance tuning and optimization techniques to improve pipeline efficiency, scalability, and cost-effectiveness.

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Define and enforce data governance, data quality, and metadata management standards across the data platform.

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Collaborate with DevOps teams to design and maintain CI/CD pipelines using tools like AWS CodePipeline, GitLab, or similar.

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Conduct peer reviews and provide technical leadership and mentorship to the data engineering team.

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Collaborate with microservices and application teams to ensure seamless integration with the ODS via APIs and event streams.

Requirements:-

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5+ years of experience in data engineering, with at least 2+ years in a lead role.

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Strong hands-on experience with AWS data services such as AWS Glue, Amazon S3, Amazon Redshift, and Amazon EMR.

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Proficiency in PySpark / Spark for large-scale data processing and optimization.

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Experience designing and implementing ODS layers using NoSQL databases, preferably Couchbase, or similar (DynamoDB, MongoDB).

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Strong expertise in ETL/ELT design patterns, data ingestion, and transformation pipelines.

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Experience working with MMS, POS, or retail transaction data is highly preferred.

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Hands-on experience with CI/CD pipelines (GitLab, AWS CodePipeline, or similar).

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Good understanding of data governance, data quality, and metadata frameworks.

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Experience supporting microservices architectures with data platforms.

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Strong problem-solving skills and ability to optimize complex data workflows.

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Excellent communication and stakeholder management skills.

Ability to work in a fast-paced, agile environment and manage multiple priorities.

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About the job
Apply before
Oct 22, 2026
Posted on
Aug 23, 2026
Job type
Full Time
Experience level
Senior

Experience

5 years minimum

Location requirements
Suggest an edit

India

Hiring timezones
Show UTC offsets

India +/- 0 hours

Job categories
Lead Data Engineer Data Engineering Lead ETL Engineer Data Pipeline Engineer AWS Data Engineer ETL Data Engineer Senior ETL Engineer ETL Lead Senior Lead Data Engineering Lead Data Engineer Jobs Lead Data Engineering Tech Lead Data Engineering

Skills
AWS Glue S3 Amazon Redshift Amazon EMR PySpark Apache Spark NoSQL Couchbase DynamoDB MongoDB ETL ELT Data Pipelines Amazon Kinesis AWS Lambda CI CD Pipelines ETL ELT CI CD Gitlab AWS CodePipeline Amazon Aurora

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About Srijan Technologies

Learn more about Srijan Technologies and their company culture.

View company profile

Srijan is a digital experience services company that helps global Fortune 500s to nonprofits build transformative digital paths to a better future. Founded in 2002, Srijan has established itself as a leader in digital engineering by delivering cutting-edge technology solutions tailored to meet the unique needs of clients across various industries. We recognize the ever-changing landscape of digital transformation and are dedicated to providing innovative services in areas such as customer experience management, marketing automation, content management, and mobile application development.

Our commitment to excellence is demonstrated through our strategic partnerships with renowned technology providers and our expertise in cloud services, data engineering, and AI solutions. With a strong base of over 450 talented engineers, Srijan combines agile methodologies with deep industry knowledge to ensure that our clients not only meet but exceed their digital aspirations. We are proud to share our ongoing collaboration with organizations like the UNDP, enhancing their digital journeys with cutting-edge solutions. As we progress, we continue to thrive on our principles of authenticity, responsibility, and sustainability, making Srijan a great place to work and a valued partner in the digital landscape.

Apply now
Job expired?

Please let Srijan Technologies know you found this job on Himalayas. This helps us grow!
Apply now

About the job
Apply before
Oct 22, 2026
Posted on
Aug 23, 2026
Job type
Full Time
Experience level
Senior

Experience

5 years minimum

Location requirements
Suggest an edit

India

Hiring timezones
Show UTC offsets

India +/- 0 hours

Job categories
Lead Data Engineer Data Engineering Lead ETL Engineer Data Pipeline Engineer AWS Data Engineer ETL Data Engineer Senior ETL Engineer ETL Lead Senior Lead Data Engineering Lead Data Engineer Jobs Lead Data Engineering Tech Lead Data Engineering

Skills
AWS Glue S3 Amazon Redshift Amazon EMR PySpark Apache Spark NoSQL Couchbase DynamoDB MongoDB ETL ELT Data Pipelines Amazon Kinesis AWS Lambda CI CD Pipelines ETL ELT CI CD Gitlab AWS CodePipeline Amazon Aurora

Browse similar jobs
Remote Senior Lead-Data-Engineer Jobs Remote Full Time Lead-Data-Engineer Jobs Remote Senior Lead-Data-Engineer Jobs in India Remote Full Time Jobs in India Remote Lead-Data-Engineer Jobs in India

Claim this profile ST Srijan Technologies

Company size

501-1000 employees

Founded in

2002

Chief executive officer

Rahul Dewan

Markets
Digital Experience Services Digital Transformation Customer Experience Management Marketing Automation Content Management Cloud Services Data Engineering Artificial Intelligence Solutions Software Development Mobile Application Developer

Employees live in
United States

View company profile

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