Cloud Data Engineer | AWS, Snowflake, Airflow, DBT, Data Warehousing, Cloud Migration

Job Summary
Synechron is seeking a highly skilled Cloud Data Engineer to design develop and optimize scalable cloud-based data pipelines supporting advanced analytics and data warehousing this role you will leverage AWS cloud services orchestrate data workflows with Airflow build modular data transformation models using DBT and manage Snowflake data warehouses. Your expertise will enable reliable high-performance data architectures aligned with enterprise objectives facilitating data-driven decision-making and operational efficiency across large-scale systems.

Software Requirements

• Required: AWS services (S3 Lambda Glue EC2) Apache Airflow DBT Snowflake SQL (MySQL PostgreSQL or Snowflake) Git Jenkins CI/CD automation tools (GitHub Actions GitLab CI Azure DevOps)

• Preferred: Kubernetes Terraform DataOps tools monitoring/alerting platforms (CloudWatch Prometheus Grafana Splunk)

• Experience level: 5 years supporting enterprise cloud data pipelines migration and automation in large organizations

Overall Responsibilities

• Design and implement scalable data pipelines utilizing AWS cloud services for analytics reporting and data management

• Develop and maintain workflows with Apache Airflow to automate data ingestion transformation and loading processes

• Build modular testable data transformation logic using DBT ensuring data quality and consistency across systems

• Manage and optimize Snowflake data warehouses for high-throughput analytical workloads

• Collaborate with cross-disciplinary teams to gather requirements validate data models and implement solutions

• Monitor pipeline health troubleshoot issues and optimize performance and reliability

• Automate deployment scaling and maintenance activities with Infrastructure as Code (Terraform CloudFormation)

• Support migration projects data integration and cloud transitioning efforts supporting enterprise architecture

• Document architecture data flow and operational procedures for ongoing support and compliance

Technical Skills (By Category)

• Programming Languages:

  • Essential: SQL Python Shell scripting

  • Preferred: Java Scala (for big data processing)

• Data Management & Databases:

  • Snowflake PostgreSQL MySQL; schema design data validation and performance tuning

• Cloud Technologies:

  • AWS (preferred) Azure (preferred) basic support for GCP supported

• Frameworks & Libraries:

  • DBT Apache Airflow Spark Presto Kafka (preferred for streaming)

• Development Tools & Methodologies:

  • Terraform CloudFormation Git Jenkins CI/CD pipelines Agile/Scrum DataOps best practices

• Security & Compliance:

  • Data encryption IAM policies audit logging compliance with data standards (GDPR HIPAA)

Experience Requirements

• 5 years supporting enterprise big data or cloud data infrastructure

• Proven experience designing and operating scalable data pipelines on cloud platforms

• Hands-on expertise with AWS Snowflake Airflow and DBT for ETL and data management

• Experience supporting data migration automation and performance tuning in large systems

• Industry experience in finance healthcare retail or enterprise analytics is preferred; relevant large-scale data support experience in other sectors also acceptable

Day-to-Day Activities

• Develop support and optimize cloud data pipelines for enterprise analytics platforms

• Automate data workflows deployment pipelines and infrastructure provisioning

• Troubleshoot pipeline failures data quality issues and operational bottlenecks

• Collaborate with data scientists analysts and enterprise teams on data ingestion transformation and integration projects

• Support migration cloud adoption and system upgrades in line with enterprise architecture strategies

• Monitor and tune system performance capacity and security standards

• Maintain documentation for architecture data models and operational procedures

Qualifications

• Bachelors or Masters degree in Computer Science Data Science or related fields

• 5 years in enterprise cloud data environment support automation and pipeline management

• Certifications such as AWS Data Analytics Solutions Architect or equivalent are advantageous

• Strong coding troubleshooting and optimization skills

• Excellent collaboration communication and stakeholder engagement skills

• Experience working within large-scale data ecosystems supporting business analytics

Professional Competencies

• Critical thinking and analytical problem-solving for high-volume data pipelines

• Leadership and team collaboration in cross-functional environments

• Effective communication for stakeholder alignment and documentation

• Adaptability to evolving cloud and data technologies

• Ownership of system reliability security and operational excellence

• Time management and planning skills to meet continuous delivery goals

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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