Senior AWS Data Engineer

ExlService Holdings, Inc.; Bengaluru; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

ExlService Holdings, Inc. is seeking a senior Data Engineering Lead in Bengaluru to guide data architecture and engineering efforts aligned with business goals.

You will oversee data engineers, drive best practices, and ensure continuous improvement of data pipelines and platforms on AWS. The role requires deep expertise in Python, SQL, and AWS services, with hands-on delivery, architecture discussions, and CI/CD implementations.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, MIS, or equivalent.
• 5+ years of experience implementing and supporting data lakes, data warehouses, and data applications on AWS for large enterprises.
• Strong programming experience with Python, Shell scripting, and SQL.
• Solid experience with AWS services: CloudFormation, S3, Athena, Glue, EMR/Spark, RDS, Redshift, DynamoDB, Lambda, Step Functions, IAM, KMS, Secrets Manager.
• Experience in serverless application development and data pipeline orchestration.
• Experience in system analysis, design, development, and implementation of data ingestion pipelines in AWS.
• Knowledge of ETL/ELT, data modeling, and big data technologies.
• Familiarity with data warehousing concepts and cloud‑based architecture.
• Strong problem‑solving skills and attention to detail.
• Excellent communication and teamwork abilities.

Responsibilities

• Design, build, and maintain efficient, reusable, and reliable architecture and code for data pipelines and data applications on AWS.
• Build robust data ingestion pipelines (from on-prem to AWS and within AWS) using AWS services such as Glue, Redshift, S3, Lambda, EMR/Spark, Kinesis, and SQS.
• Develop and manage ETL/ELT processes to collect, process, and store data from multiple sources, ensuring data quality, integrity, and security.
• Architect and implement end-to-end data solutions (ingestion, storage, integration, processing, access) on AWS, with a focus on data lakes and data warehouses.
• Participate in the architecture and system design discussions for high-scale data engineering projects.
• Independently perform hands‑on development, unit testing, and participate in code reviews to ensure adherence to best practices.
• Implement serverless applications using AWS Lambda, API Gateway, Step Functions, and other AWS technologies.
• Migrate data from traditional relational databases, file systems, and APIs to AWS‑based data lakes (S3), RDS, Aurora, and Redshift.
• Implement high‑velocity streaming solutions using Amazon Kinesis, SQS, and Kafka (preferred).
• Architect and implement CI/CD strategies for enterprise data platforms.
• Collaborate with product, operations, QA, and cross‑functional teams throughout the software development cycle.
• Stay abreast of new technology developments, implement POCs for new tools/technologies, and onboard them for real‑world use cases.
• Identify and resolve performance issues and continuously optimize for cost, reliability, and scalability.

Skills

Python

SQL

Shell scripting

Problem solving

Communication

Education

Bachelor’s degree in Computer Science or related field

Tools

AWS Cloud

CloudFormation

Glue

Redshift

S3

EMR/Spark

Lambda

Kinesis

Step Functions

IAM & Secrets Manager

Job description

Manage data engineering projects, ensuring alignment with business objectives. Provide strategic guidance on data engineering best practices. Oversee a team of data engineers. Ensure continuous improvement of data processes.

Responsibilities

Key Responsibilities:

Design, build, and maintain efficient, reusable, and reliable architecture and code for data pipelines and data applications on AWS.

Build robust data ingestion pipelines (from on-prem to AWS and within AWS) using AWS services such as Glue, Redshift, S3, Lambda, EMR/Spark, Kinesis, and SQS.

Develop and manage ETL/ELT processes to collect, process, and store data from multiple sources, ensuring data quality, integrity, and security.

Architect and implement end-to-end data solutions (ingestion, storage, integration, processing, access) on AWS, with a focus on data lakes and data warehouses.

Participate in the architecture and system design discussions for high-scale data engineering projects.

Independently perform hands‑on development, unit testing, and participate in code reviews to ensure adherence to best practices.

Implement serverless applications using AWS Lambda, API Gateway, Step Functions, and other AWS technologies.

Migrate data from traditional relational databases, file systems, and APIs to AWS‑based data lakes (S3), RDS, Aurora, and Redshift.

Implement high‑velocity streaming solutions using Amazon Kinesis, SQS, and Kafka (preferred).

Architect and implement CI/CD strategies for enterprise data platforms.

Collaborate with product, operations, QA, and cross‑functional teams throughout the software development cycle.

Stay abreast of new technology developments, implement POCs for new tools/technologies, and onboard them for real‑world use cases.

Identify and resolve performance issues and continuously optimize for cost, reliability, and scalability.

Qualifications

Required Qualifications:

Bachelor’s degree in Computer Science, Software Engineering, MIS, or equivalent combination of education and experience.

5+ years of experience implementing and supporting data lakes, data warehouses, and data applications on AWS for large enterprises.

Strong programming experience with Python, Shell scripting, and SQL.

Solid experience with AWS services: CloudFormation, S3, Athena, Glue, EMR/Spark, RDS, Redshift, DynamoDB, Lambda, Step Functions, IAM, KMS, Secrets Manager.

Experience in serverless application development and data pipeline orchestration.

Experience in system analysis, design, development, and implementation of data ingestion pipelines in AWS.

Knowledge of ETL/ELT, data modeling, and big data technologies.

Familiarity with data warehousing concepts and cloud‑based architecture.

Strong problem‑solving skills and attention to detail.

Excellent communication and teamwork abilities.