Sr Data Engineer

Synechron is a leading global digital consulting and technology services firm that specializes in delivering innovative solutions across banking, financial services, insurance, and enterprise sectors. With a mission to help clients achieve their digital transformation goals, Synechron combines deep industry expertise with cutting-edge technology to create impactful, scalable solutions. We foster a culture of agility, innovation, and continuous learning, empowering our teams to deliver value-driven results.

Core Responsibilities

• Data Pipeline Design & Development: Architect and implement robust, scalable data ingestion and ETL pipelines leveraging AWS services to facilitate efficient data flow from source systems to data repositories.
• Big Data Solutions: Utilize AWS tools and big data technologies to process high volumes of diverse data types promptly, ensuring optimized data throughput and storage.
• Data Modeling & Storage: Design and select appropriate data models and storage solutions such as Amazon S3, Redshift, and DynamoDB for different use cases, ensuring data integrity and accessibility.
• Data Quality & Monitoring: Implement data validation, quality checks, and monitoring frameworks to maintain accurate data pipelines, while tracking performance metrics and controlling costs.
• Security & Governance: Enforce data security best practices, including IAM policies, data encryption, and network security, to safeguard sensitive information and ensure compliance.
• Collaboration: Work closely with business stakeholders, data analysts, and solutions teams to understand their needs and deliver data solutions aligned with core business objectives.
• AI-Centric Data Solutions: Integrate AI/ML and Generative AI (GenAI) into data pipelines to automate workflows, enhance data insights, and develop AI-driven data products.

Key Skills & Knowledge

• AWS Services: Extensive experience with core AWS data services such as AWS Glue, Glue ETL, S3, Redshift, DynamoDB, EMR, Lambda, and IAM.
• Big Data Technologies: Strong understanding of distributed data processing frameworks like Apache Spark, Hadoop, or similar.
• Programming & Querying: Proficiency in SQL and scripting languages (Python, Scala, etc.) for data transformation, automation, and custom processing.
• Data Engineering Principles: Deep knowledge of data modeling, schema design, data governance, and lifecycle management.
• Performance & Cost Optimization: Ability to identify and resolve performance bottlenecks, optimize queries, and control infrastructure costs on AWS.
• Software Engineering Practices: Hands-on experience with CI/CD pipelines, Infrastructure as Code (IaC) tools like Terraform or CloudFormation, and version control systems.

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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.

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