Data Engineer | Mid-Level

Reposted 2 Days Ago
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Brigade Gateway, Yeshwanthpur, Bangalore, Karnataka, IND
In-Office
Senior level
Fintech • Financial Services
The Role
Design, build, and support scalable cloud-based data pipelines and products for analytics, reporting, compliance, and AI/ML initiatives. Responsibilities include ETL/ELT development, data modeling, platform monitoring, incident resolution, observability, automation, deployment, reliability improvements, and collaboration with architects, product owners, analysts, and engineering teams. The role requires enterprise data engineering experience, strong SQL, cloud platforms, distributed processing, software engineering practices, and stakeholder communication.
Summary Generated by Built In

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.

Candidate Application Notice

Skills Required

  • 6-8+ years of experience in data engineering, data warehousing, or data platform engineering
  • Experience building and supporting enterprise-scale data solutions
  • Strong SQL and data modeling skills
  • Experience with cloud-based data platforms and distributed data processing environments
  • Experience with Snowflake
  • Experience with dbt
  • Experience with Apache Airflow
  • Hands-on experience with AWS services including Amazon S3, ECS or AWS Fargate, IAM, CloudFormation, OpenSearch, and AWS-native data integration and storage services
  • Python experience, or strong experience in Java, Scala, or C# with willingness to transition to Python
  • Strong understanding of Git-based 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
  • Strong analytical and problem-solving abilities
  • Strong stakeholder engagement and communication skills
  • Ability to work independently and collaborate across multidisciplinary teams

Synechron Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Synechron and has not been reviewed or approved by Synechron.

  • Fair & Transparent Compensation Pay is frequently characterized as competitive, particularly relative to large service-consulting peers and in certain in-demand skill areas. Compensation sentiment appears strongest when staffing is stable on strong client engagements and for market-aligned roles in major hubs.
  • Healthcare Strength Healthcare coverage is often portrayed as a strong point in the U.S., with broad coverage and relatively favorable out-of-pocket experiences. Core medical, dental, and vision options are consistently described as meeting or exceeding a baseline expectation for consulting roles.
  • Equity Value & Accessibility Equity was made broadly accessible through a company-wide RSU grant tied to a major revenue milestone. This is positioned as a notable upside even if it is framed as a one-time recognition event rather than an ongoing program.

Synechron Insights

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The Company
HQ: New York, New York
12,827 Employees
Year Founded: 2001

What We Do

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 14,700+, and has 48 offices in 19 countries within key global markets. For more information on the company, please visit our website: www.synechron.com.

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