AWS Data Engineer

Synechron; Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Synechron is seeking an AWS Data Engineer to design, build, and maintain scalable data pipelines on cloud platforms from Bengaluru. You will own end-to-end delivery, optimize ELT/ETL processes, and develop reusable automation components to improve efficiency and data quality.

The role requires 6–8+ years in data engineering and strong Python/Snowflake experience. Join a global consulting firm delivering digital solutions for financial services and tech clients, with emphasis on Data, AI, Cloud,

Qualifications

• 6–8+ years of experience in Data Engineering, Data Warehousing, or Data Platform Engineering.
• Proven experience building and supporting enterprise-scale data solutions.
• Strong SQL and data modelling skills.
• Experience working with cloud-based data platforms and distributed data processing environments.
• Excellent analytical and problem-solving abilities.
• Strong stakeholder engagement and communication skills.

Responsibilities

• Design, develop, and maintain scalable data pipelines and data products across cloud-based platforms.
• Own the end-to-end delivery lifecycle including requirements analysis, development, testing, deployment, monitoring, and continuous improvement.
• Build and optimise ELT/ETL processes to support analytical and operational data workloads.
• Develop reusable frameworks, components, and automation to improve engineering efficiency and consistency.

Skills

Strong SQL

Data modelling

Stakeholder engagement

Analytical thinking

Cloud data platforms

Python

Tools

Snowflake

Python

dbt

Apache Airflow

AWS services

Git

Job description

Experience: 6+ Years

We have immediate opportunity for AWS Data Engineer

About Company

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 13,950+, and has 52 offices in 20 countries within key global markets. For more information on the company, please visit our website or LinkedIn community.

Diversity, Equity, and Inclusion

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and an affirmative-action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Job Description

• Design, develop, and maintain scalable data pipelines and data products across cloud-based platforms.
• Own the end-to-end delivery lifecycle including requirements analysis, development, testing, deployment, monitoring, and continuous improvement.
• Build and optimise ELT/ETL processes to support analytical and operational data workloads.
• Develop reusable frameworks, components, and automation to improve engineering efficiency and consistency.

Technical Skills & Experience

Core Technologies

• Data Warehousing: Snowflake
• Programming: Python (preferred), or strong experience in Java, Scala, or C# with willingness to transition to Python
• Data Transformation: dbt
• Workflow Orchestration: Apache Airflow

Hands‑on experience with:

• Amazon S3, ECS / AWS Fargate, IAM, CloudFormation, OpenSearch, AWS-native data integration and storage services

Software Engineering

• Strong understanding of Git-based development workflows, pull requests, branching strategies, and code reviews.
• Experience with CI/CD pipelines and automated deployment processes.
• Knowledge of software design principles, data structures, algorithms, and scalable application development.

Required Qualifications

• 6–8+ years of experience in Data Engineering, Data Warehousing, or Data Platform Engineering.
• Proven experience building and supporting enterprise-scale data solutions.
• Strong SQL and data modelling skills.
• Experience working with cloud-based data platforms and distributed data processing environments.
• Excellent analytical and problem‑solving abilities.
• Strong stakeholder engagement and communication skills.