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Description
Job Summary We are seeking a highly skilled Senior Data Engineer with 7+ years of experience in handling complex data projects, both on-premise and in the cloud. The ideal candidate will have a strong background in implementing large-scale data warehousing programs and end-to-end data integration solutions, particularly using Snowflake Cloud and Informatica PowerCenter . This role requires a mix of technical expertise, leadership, and a commitment to best practices in data engineering. Overall Responsibilities: Lead the design, implementation, and management of large-scale data warehousing programs and end-to-end data integration solutions. Develop and maintain ETL applications using Informatica PowerCenter within an enterprise data warehouse environment. Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions. Optimize and tune database performance, including the use of Teradata utilities (Bteq, Fastload, Multiload, Procedures, Macros). Create, modify, and optimize SQL queries , views, stored procedures, and triggers to support data integration and reporting needs. Promote development standards, best practices, and reusable components for design and delivery assurance. Ensure the security and integrity of data in compliance with enterprise standards and policies. Contribute to the DevOps processes and tools, including container-based deployments using Docker . Work effectively in an Agile squad/chapter setup, utilizing tools such as JIRA for project management and collaboration. Mentor junior team members and promote a culture of continuous improvement and knowledge sharing. Technical Skills: Experience: 7+ years of experience managing data projects utilizing both on-premise and cloud database technologies, with a strong focus on ETL technologies. Data Warehousing: Extensive experience implementing data warehousing solutions on Snowflake Cloud and Informatica PowerCenter , integrated with relational databases such as Teradata, DB2, and SQL Server . Performance Tuning: Proficiency in Teradata utilities and performance tuning. SQL Skills: Strong SQL skills with experience in database programming, including designing for performance and implementing referential integrity. Programming: Competency in Unix/Linux programming (Shell and/or Python); Python knowledge is a plus. DevOps Practices: Familiarity with DevOps practices and tools (e.g., Jenkins, TeamCity). Containerization: Experience in containerization using Docker and managing Docker images. Enterprise Applications: Understanding of large enterprise application requirements, including security and entitlements. Experience: A minimum of 7 years of experience in data engineering, with a proven track record of delivering complex data projects. Experience working in an Agile environment and familiarity with Agile methodologies and tools. Strong communication and leadership skills to facilitate collaboration across teams. Qualifications: Bachelors degree in Computer Science, Computer Engineering, or a related discipline, or equivalent work experience. Prior experience in the financial industry is a plus. Experience in building applications using Teradata and Informatica is highly desirable. Knowledge of real-time streaming and microservices architecture is a plus. Familiarity with the Hadoop ecosystem (e.g., Hive, PySpark) is an added advantage. S YNECHRONS 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 applicants gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law . Candidate Application Notice
