Cloud Data Engineer | GCP, AWS, Azure, ETLELT, Big Data, Data Warehousing
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Job Summary
Synechron is seeking a highly skilled Cloud Data Engineer to design develop and maintain scalable high-quality data pipelines across cloud platforms (AWS Azure or GCP). This role involves working with structured and unstructured data optimizing ETL/ELT processes and supporting business analytics and data-driven decision-making. The successful candidate will collaborate with analytics and engineering teams to ensure data integrity security and performance contributing to the organizations strategic initiatives in digital transformation and operational excellence.
Software Requirements
Required:
Proficiency in cloud platforms including AWS Azure or GCP with experience supporting enterprise data environments
Strong knowledge of SQL Python and Spark for data processing and pipeline development
Hands-on experience with cloud data services such as Amazon Redshift Google BigQuery Snowflake or Azure Synapse
Experience with ETL/ELT processes for both structured and unstructured data
Familiarity with data orchestration tools like Apache Airflow or similar
Understanding of data security privacy and compliance best practices
Preferred:
Experience with cloud infrastructure automation tools such as Terraform or CloudFormation
Knowledge of data governance and metadata management solutions
Exposure to visualization and BI tools integrated with data pipelines
Overall Responsibilities
Design build and optimize scalable data pipelines in cloud environments supporting enterprise analytics and operations
Develop and enhance ETL/ELT workflows for diverse data sources ensuring data quality and accuracy
Collaborate with analytics data science and engineering teams to enable data ingestion processing and visualization
Monitor data pipeline performance and troubleshoot bottlenecks implementing improvements proactively
Ensure data security access controls and regulatory compliance in line with organizational policies
Support cloud migration initiatives evaluating new data technologies and supporting proof-of-concept deployments
Document system architecture pipeline workflows and operational procedures for ongoing maintenance and audits
Technical Skills (By Category)
Programming Languages:
Required: Python SQL
Preferred: Spark (PySpark) Scala Java for data processing and automation scripting
Databases & Data Management:
Relational databases (PostgreSQL MySQL SQL Server) cloud data warehouses (Redshift BigQuery Snowflake Synapse) data lake architecture
Cloud Technologies:
AWS Azure or GCP supporting cloud-native data storage processing and deployment
Frameworks & Libraries:
Spark (PySpark/Scala) Hadoop ecosystem tools data integration libraries (e.g. Apache NiFi)
Tools & Orchestration:
Airflow Terraform CloudFormation Jenkins Git Docker Kubernetes
Security & Compliance:
Data masking encryption identity and access management compliance with GDPR HIPAA or industry-specific standards
Experience Requirements
Minimum of 5 years supporting large-scale data pipelines in cloud environments
Proven experience with ETL/ELT processes supporting enterprise analytics
Hands-on experience with cloud-based data warehouses and data lake architectures
Demonstrated success optimizing data workflows for performance and reliability
Experience supporting cloud migrations automation and infrastructure as code is advantageous
Industry experience in finance healthcare retail or enterprise IT preferred but not mandatory
Day-to-Day Activities
Design implement and support scalable data pipelines for structured and unstructured data sources
Collaborate with data scientists analysts and software engineers to develop efficient data workflows
Automate data ingestion transformation and pipeline deployment processes supporting CI/CD practices
Troubleshoot pipeline failures optimize query performance and implement data security controls
Support cloud migration activities including validating data integrity and performance benchmarks
Maintain operational documentation data governance policies and system architecture diagrams
Monitor system health and data quality metrics to ensure continuous reliability
Qualifications
Bachelors or Masters degree in Computer Science Data Science Information Technology or related field
Minimum of 5 years of experience designing and managing enterprise-level data pipelines and warehouses supported by cloud platforms
Certifications such as AWS Certified Data Analytics Google GCP Data Engineer or Azure Data Engineer certifications preferred
Experience implementing cloud-native data solutions in regulated or enterprise environments
Professional Competencies
Strong analytical skills to troubleshoot data pipeline issues and optimize performance
Excellent communication skills for collaborating across technical teams and business stakeholders
Leadership qualities to guide junior team members and promote best practices in data engineering
Strategic mindset to implement secure scalable and compliant data architectures
Curiosity and adaptability to stay current with emerging data technologies and industry standards
Time management skills to deliver high-quality data solutions within deadlines
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.
Required Experience:
IC
Key Skills
About Company
Chez Synechron, nous croyons en la puissance du numérique pour transformer les entreprises en mieux. Notre cabinet de conseil mondial combine la créativité et la technologie innovante pour offrir des solutions numériques de premier plan. Les technologies progressistes et les stratégie ... View more
