Data Engineer - Mid-Level

synechron; Bengaluru; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

Synechron seeks a Mid-Level Data Engineer (6-8+ years) to design and build scalable data pipelines and products. You will own the delivery lifecycle across cloud platforms, optimize ELT/ETL processes, and collaborate with Data Architects and Product Owners to enable analytics, governance, and AI/ML initiatives.

The role emphasizes reliability, observability, and continuous improvement, with a focus on enterprise-grade data solutions and strong software engineering discipline.

Qualifications

• 6-8+ years of experience in Data Engineering, Data Warehousing, or Data Platform Engineering.
• Proven experience building enterprise-scale data solutions.
• Strong SQL and data modelling skills.
• Experience with cloud-based data platforms and distributed processing.
• 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 end-to-end delivery lifecycle from requirements to deployment and improvement.
• Build and optimise ELT/ETL processes for analytical and operational workloads.
• Develop reusable frameworks and automation to improve engineering efficiency.

Skills

SQL & data modelling

Analytical thinking

Stakeholder engagement

Problem solving

Agile delivery

Tools

Snowflake

Python

Java/Scala/C#

dbt

Apache Airflow

AWS (S3, ECS/Fargate, IAM, CloudFormation)

OpenSearch

Job description

Data Engineer (Mid-Level | 6-8+ Years Experience)

About the Role

Synechron is seeking a highly motivated Data Engineer to join our Data Platforms & Engineering practice. In this role, you will design, build, and support scalable data solutions that enable analytics, reporting, regulatory compliance, and AI/ML initiatives across enterprise environments.

You will work with modern cloud-native technologies and industry-leading data platforms, applying strong software engineering principles to deliver reliable, secure, and high-performing data products.

This is an excellent opportunity for experienced engineers who thrive in complex data ecosystems and are passionate about building robust, enterprise-grade solutions.

Key Responsibilities

Data Engineering & Delivery

• 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.

Platform Operations & Reliability

• Monitor production data pipelines, schedules, integrations, and data quality processes.
• Investigate and resolve incidents within agreed service levels and participate in root cause analysis and post-incident reviews.
• Implement monitoring, alerting, and observability capabilities to improve platform reliability and performance.
• Support platform upgrades, enhancements, and operational excellence initiatives.

Collaboration & Continuous Improvement

• Work closely with Data Architects, Product Owners, Business Analysts, and Engineering teams to deliver business outcomes.
• Contribute to solution design discussions and provide recommendations on data architecture, performance, and scalability.
• Drive continuous improvement through automation, code quality practices, and engineering best practices.
• Promote a culture of ownership, collaboration, and innovation.

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

Cloud & Infrastructure (AWS)

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.
• Exposure to Agile delivery methodologies.

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.
• Ability to work independently while collaborating effectively across multidisciplinary teams.

S YNECHRON'S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is 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.