Data Engineer – Cloud, ETL, Data Modeling & Governance job opportunity at Synechron.



DatePosted 11 Days Ago bot
Synechron Data Engineer – Cloud, ETL, Data Modeling & Governance
Experience: 5-years
Pattern: full-time
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ETL, Data Modeling & Governance

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loacation Pune - Hinjewadi (Ascendas), India
loacation Pune - Hinjewa..........India

Job Summary Synechron is seeking a dedicated Business Data Analyst & Data Engineer to bridge business requirements and technical solutions in enterprise data environments. This role involves gathering detailed business requirements, designing and developing scalable ETL pipelines, data models, and data governance frameworks to support analytics, reporting, and data-driven decision-making. You will collaborate with stakeholders, data teams, and QA to ensure data accuracy, security, and compliance, enabling the organization to leverage data assets effectively for strategic initiatives. Software Requirements Required: Strong SQL skills for data validation, analysis, and data management (5+ years) supporting relational and data warehouse environments Experience designing and deploying ETL pipelines using tools such as Informatica , Talend , or similar (5+ years) Knowledge of big data tools and cloud data platforms supporting enterprise analytics (AWS, Azure, GCP) Familiarity with data modeling, metadata management, and data governance principles Experience supporting Agile projects using tools like JIRA and Confluence Preferred: Experience supporting cloud-native data solutions or data lake architectures Knowledge of NoSQL databases like MongoDB , Cassandra Exposure to AI/ML integration in data pipelines (preferred) Overall Responsibilities Gather and analyze business requirements, translating them into data models , ETL pipelines , and data architecture supporting analytics and reporting Design, develop, and optimize scalable data workflows across cloud and on-premise platforms Collaborate with business, data scientists, and technical teams to leverage data assets securely and efficiently Conduct data validation, reconciliation, and quality checks to ensure Data Integrity and compliance standards are met Support data migration and consolidation efforts supporting enterprise data strategies Implement metadata management and data governance frameworks for operational and regulatory compliance Document data flow diagrams, data models, and governance policies Monitor data pipeline performance, troubleshoot issues, and implement process improvements Drive automation of data processes to increase efficiency and reduce manual intervention Technical Skills (By Category) Languages & Data Tools (Essential): SQL (Oracle, MySQL, PostgreSQL) supporting data validation and query optimization (5+ years) ETL tools: Informatica, Talend, or similar (5+ years) supporting large enterprise data pipelines Preferred: Python scripting for automation and data transformation support Data & Architecture: Data modeling, metadata management, and data governance frameworks supporting enterprise standards Cloud & Infrastructure: Cloud environments: AWS, Azure, or GCP supporting data migration and pipelines (preferred) Databases & Storage: Relational databases and NoSQL data stores (MongoDB, Cassandra) (preferred) Tools & Frameworks: Data lineage, data cataloging, and data quality tools supporting enterprise compliance Experience Requirements 5+ years supporting data engineering, data migration, and warehouse functions in large-scale organizations Proven experience designing and managing scalable ETL pipelines and data governance frameworks Experience working within enterprise or regulated industries (finance, healthcare, or government described as advantageous) Knowledge supporting AI/ML data pipelines and automation (preferred) Day-to-Day Activities Develop, optimize, and monitor ETL pipelines supporting analytics, BI, and data warehousing needs Collaborate with business stakeholders, data scientists, and BI teams to ensure data quality and availability Conduct data validation, data reconciliation, and metadata management tasks Automate manual data processes to improve operational efficiency Support data migration, system upgrades, and infrastructure deployment activities Troubleshoot data pipeline issues, security concerns, and performance bottlenecks Maintain documentation of data flow architecture and compliance protocols Participate in reviews, design discussions, and continuous process improvements Qualifications Bachelor’s or Master’s degree in Data Engineering, Computer Science, or related fields 5+ years supporting enterprise data environments, data migration, or warehousing initiatives Certifications in cloud data services or enterprise data management (preferred) Proven ability to support large, secure, and compliant enterprise data assets Professional Competencies Strong analytical and troubleshooting expertise supporting complex data workflows Effective communication skills for requirements gathering and stakeholder engagement Ability to work independently and collaborate in multidisciplinary teams Adaptability to evolving data needs, standards, and regulatory environments Continuous learning mindset supporting emerging data technologies and governance standards Results-oriented focus on data quality, security, and operational efficiency 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

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