Data Engineer

Enterprise Data Engineer | Cloud Platforms, Big Data, Data Governance & Automation Support

Job Summary
Synechron is seeking an experienced Data Engineer supported by advanced cloud, blockchain, IoT, or mobile technologies to develop scalable data solutions supporting enterprise applications and analytics. This role involves designing, implementing, and optimizing data pipelines, collaborating with cross-functional teams to address diverse data needs, and supporting continuous system improvements. The candidate will leverage their expertise in programming, databases, and emerging tech to enable data-driven decision-making and operational excellence.

Software Requirements

Required Software Proficiency:

• Programming: Java, Python, or Node.js — extensive hands-on experience supporting data pipelines, automation, or system integrations (latest versions preferred)

• Databases: SQL (MySQL, Oracle, PostgreSQL, SQL Server) — deep experience in data modeling, querying, and optimization supporting enterprise data management

• Cloud Platforms: AWS, Azure, or GCP — proven support for cloud-native data architecture and deployment (supporting 4+ years)

• Data Frameworks & Libraries: Pandas, NumPy, Spark, or similar supporting large-scale data processing and analytics workflows

• Data Operations & ETL/ELT tools supporting automation and data transformation support

Preferred Software Skills:

• Cloud-native services: AWS Glue, Data Factory, Azure Data Lake support supporting data ingestion and migration support

• Advanced data processing: Hadoop, Kafka, or similar for streaming data and event-driven architectures support

• Automation: Terraform, Ansible, support for infrastructure as code and environment automation support

Overall Responsibilities

• Design, develop, and maintain scalable data pipelines supporting enterprise analytics, migration, and operational reporting needs

• Build and optimize cloud-native data architectures, ensuring reliability, scalability, and security align with industry standards

• Collaborate with data architects, data scientists, and business stakeholders to gather requirements and deliver effective data solutions

• Support data ingestion, transformation, validation, and reconciliation activities supporting data integrity and compliance

• Drive automation initiatives to streamline data workflows, environment provisioning, and deployment processes

• Monitor system performance, troubleshoot issues, and implement performance, security, and operational improvements

• Support cloud migration, environment setup, and data platform upgrades supporting enterprise resilience

• Maintain detailed documentation of data architecture, workflows, security policies, and operational procedures

Technical Skills (By Category)

• Languages & Data Processing (Essential):

  • Java, Python, or Node.js supporting data pipeline development and automation

  • Spark, Hadoop, or similar frameworks supporting big data processing and streaming data

• Databases & Data Management:

  • SQL-based systems: MySQL, Oracle, PostgreSQL, SQL Server supporting data validation and query optimization

  • NoSQL: Kafka, DynamoDB, or similar supporting streaming data and real-time processing (preferred)

• Cloud & Infrastructure:

  • AWS, Azure, or GCP supporting deployment, scaling, and cloud-native data architecture (preferred)

• Automation & Infrastructure as Code:

  • Terraform, Ansible supporting environment provisioning and automation support

• Monitoring & Security:

  • CloudWatch, Prometheus, DataDog supporting system health monitoring and security support

Experience Requirements

• 5+ years supporting large-scale, scalable data pipelines, cloud-native applications, and enterprise data platforms

• Proven expertise designing, deploying, and managing data workflows supporting analytics, migration, and real-time processing

• Extensive experience supporting cloud migration initiatives and automation of data processes supporting operational resilience

• Knowledge supporting compliance and security in regulated environments (preferred)

• Demonstrated ability to troubleshoot, optimize, and support high-volume, secure data systems supporting enterprise decision-making

Day-to-Day Activities

• Develop, test, and maintain scalable ETL/ELT pipelines supporting enterprise analytics, migration, and operational workflows

• Collaborate with data scientists, data architects, and business teams to implement data pipelines supporting business needs

• Support cloud migration, data platform upgrades, and automation support activities for operational resilience

• Monitor data pipeline performance, troubleshoot failures, and optimize for efficiency and scalability

• Conduct root cause analysis, implement performance tuning, and validate data integrity support supporting compliance standards

• Automate infrastructure provisioning, environment setup, and data flow management supporting DevOps practices supporting agile delivery

• Document data architecture, operational procedures, and security policies supporting operational audit and compliance

Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, or equivalent technical field

• 5+ years supporting enterprise data pipelines, cloud-native data platforms, and large-scale data management systems

• Certifications supporting cloud platforms (AWS, Azure, GCP), big data management, or data governance are advantageous

• Demonstrated success supporting scalable, secure, and compliant enterprise data solutions supporting high data volumes and analytics support

Professional Competencies

• Strong analytical and troubleshooting skills supporting complex data workflows and platform integrity

• Leadership qualities supporting team collaboration, mentorship, and best practices in data engineering

• Effective stakeholder communication supporting requirements gathering, reporting, and compliance documentation

• Adaptability supporting evolving cloud environments, security standards, and industry regulations

• Strategic thinking to develop scalable, secure, and compliant data architectures supporting business growth

• Organizational skills to manage multiple data pipelines, platform upgrades, and operational support activities efficiently

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

Experience Level

Senior Level