About Synechron: Synechron is a global leader in digital transformation, delivering innovative technology solutions to Fortune 500 companies and leading financial institutions. Our expertise spans data, cloud, AI, and software engineering, helping clients realize their digital ambitions through cutting-edge practices and technologies. Job Description: We are looking for a talented and dedicated Senior Data Engineer to join our engineering team. The ideal candidate will have deep expertise in data processing, cloud-native data platforms, and scalable integration solutions. This role involves building robust data pipelines, implementing data governance standards, and leveraging cloud services to deliver enterprise-grade data products. Key Responsibilities: Design and develop innovative data platforms and scalable pipeline solutions to meet evolving business needs. Build and optimize Data Lake frameworks utilizing Scala, PySpark, or Python, ensuring high data quality and security compliance. Develop reusable, config-driven libraries and pipelines for enterprise-wide data ingestion and integration. Ensure adherence to data governance, security, and compliance standards utilizing tools like AWS DataZone, Lake Formation, AWS Glue, and MWAA. Collaborate with cross-functional engineering teams to establish best practices, shared frameworks, and reusable components. Apply modern coding standards and development practices to deliver high-quality, reliable solutions that mitigate risk. Transform source data into data products and enable seamless data egression to downstream platforms. Communicate effectively with stakeholders and contribute to team knowledge sharing efforts. Skills & Experience: Strong proficiency in Python, SQL, Spark, and Scala for distributed data processing. Hands-on experience with AWS services such as AWS Glue, Lambda, Redshift, Athena, Kinesis, and EMR. Knowledge of cloud marketplace solutions, API Gateway, and data monetization strategies. Expertise in performance tuning of ETL jobs and query optimization for cost efficiency. Familiarity with CI/CD tools like GitHub, GitHub Actions, ArgoCD, and deployment automation. Experience with observability and monitoring tools such as AWS CloudWatch, Prometheus, or Grafana. Understanding of AI/ML integration to enhance data processing and automation. Knowledge of DevSecOps best practices for automated deployment, testing, and security. Nice to Have: Experience working with Snowflake or Apache Iceberg. Understanding of data product thinking and data mesh principles. Exposure to AI/ML workflows and tools. Why Join Synechron? Work on innovative, enterprise-scale data projects across leading financial institutions. Engage with cutting-edge cloud-native technologies and frameworks. Competitive salary and comprehensive benefits package. Opportunities for continuous learning and professional growth. Dynamic, collaborative environment with flexible working options. 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
