Senior Data Engineer – Generative AI

About Synechron

Synechron is a global digital transformation leader focused on the financial services industry, operating in over 20 countries with 55+ offices. We partner closely with the world’s top banks, delivering next-generation solutions in technology, cloud, data engineering, payments, cards, and Generative AI.

Role Overview

As a Senior Data Engineer, you will design and develop high-performance data pipelines and architectures that power AI/ML systems — supporting LLM training, fine-tuning, inference, and responsible deployment at scale. You’ll collaborate with AI/ML engineers, architects, and DevOps to ensure seamless, secure, and compliant data workflows across cloud-native platforms.

Key Responsibilities

• Design, develop, and optimize data pipelines and ETL/ELT workflows for AI/ML and Gen AI systems

• Build scalable data ingestion, processing, and storage platforms to support large model training and inference

• Collaborate with AI/ML teams to ensure data quality, privacy, and governance compliance

• Develop reusable data templates, components, and frameworks for faster project delivery

• Enable production deployment of AI models through robust data infrastructure and automation

• Participate in code reviews, lead technical discussions, and mentor junior engineers

• Enforce ethical data practices with a focus on fairness, transparency, and security

Technical Skills & Expertise

Data Engineering & Pipelines

• Proven expertise in building scalable data pipelines using Apache Spark, Apache Beam, or Kafka

• Deep knowledge of ETL/ELT workflows and pipeline orchestration tools

• Experience with data warehousing systems: Snowflake, Redshift, BigQuery, etc.

Programming & DevOps Tools

• Strong programming in Python and/or Scala

• Experience with Docker, Kubernetes, and CI/CD pipelines

Data Storage & Architecture

• Deep understanding of relational, NoSQL, and distributed data storage systems

• Experience designing data systems for high-volume, low-latency AI workloads

AI/ML Data Support

• Familiarity with managing large datasets for training, inference, and fine-tuning

• Experience with data versioning, dataset management tools, and AI data prep

Cloud & Infrastructure

• Hands-on with AWS, Azure, or GCP (especially data services like Glue, Dataflow, Data Factory)

• Infrastructure-as-code and cloud automation familiarity

Security & Governance

• Strong understanding of data privacy laws, AI ethics, and governance frameworks

• Experience implementing access control, auditing, and data lifecycle management

Day-to-Day Activities

• Build & maintain robust pipelines for Gen AI data flows

• Optimize data systems for training speed, storage efficiency, and API integration

• Monitor and improve data performance, quality, and reliability

• Automate infrastructure deployments and integrate with CI/CD workflows

• Ensure secure handling of sensitive data across distributed teams

• Support compliance initiatives, audits, and ethical data practices

Qualifications

• Bachelor’s or Master’s in Computer Science, Data Engineering, or related field

• 5+ years in data engineering, preferably in AI/ML or high-volume environments

• Demonstrated success in delivering production-grade data platforms

• Experience supporting Gen AI or machine learning data pipelines at scale

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.

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