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 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 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

• Bachelors or Masters 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

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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