Data Engineer – Cloud, ETL, Data Modeling & Governance

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

• Bachelors or Masters 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

SYNECHRONS 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.

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