Cloud Data Engineer | Cloud Platforms (AWS, GCP, Azure), Data Pipelines, Spark, BigQuery, Data Security & Governance
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Job Summary
Synechron is seeking an experienced Cloud Data Engineer to design develop and optimize scalable cloud-native data platforms supporting enterprise analytics and data-driven decision-making. This role involves building robust data pipelines supporting cloud migrations implementing data security and governance and collaborating with data science analytics and platform teams to deliver reliable secure and high-performance data solutions aligned with organizational objectives.
Software Requirements
Required:
Extensive experience with cloud data services including Snowflake BigQuery Azure Data Lake or Amazon Redshift for scalable data storage and warehousing
Hands-on expertise in building data pipelines using Spark (PySpark) Python and SQL for large-scale data processing and transformation
Deep knowledge of cloud platforms (AWS Azure GCP) supporting data lakes analytics and ETL workflows
Proficiency with data modeling query optimization and security best practices
Experience supporting data migration automation and data governance using tools such as Terraform or CloudFormation
Preferred:
Knowledge of data lake architectures and metadata management frameworks
Experience with big data ecosystems like Hadoop Kafka or Hive supporting enterprise data needs
Exposure to machine learning workflows supporting data preparation and feature engineering
Overall Responsibilities
Design develop and support scalable data pipelines supporting enterprise analytics reporting and AI workflows
Implement data transformation cleansing and enrichment processes leveraging Spark SQL and Python for high data quality
Collaborate with data scientists ML engineers and platform teams to support data ingestion and feature processing
Support cloud migration initiatives ensuring data platform scalability security and compliance
Automate data workflows infrastructure provisioning and deployment processes supporting CI/CD pipelines
Monitor data pipeline performance troubleshoot issues and optimize storage and compute resources
Enforce data security privacy and compliance policies across all platforms
Document architecture data models security policies and operational procedures
Technical Skills (By Category)
Languages & Frameworks:
Python (advanced) SQL Spark (PySpark) Scala (preferred) for large-scale data processing and automation
Data Management & Storage:
Snowflake BigQuery Azure Data Lake Hadoop data lakes data warehouses data modeling query tuning
Cloud Platforms:
AWS Azure GCP supporting data lake warehouse and analytics deployment
Tools & Ecosystem:
Terraform CloudFormation Apache Airflow Kubernetes Docker data pipeline orchestration tools
Analytics & Machine Learning:
Supporting data prep workflows for ML models using frameworks like TensorFlow or PyTorch (preferred)
Security & Governance:
Data encryption access control data masking and compliance standards (GDPR HIPAA PCI DSS)
Experience Requirements
Minimum of 6 years supporting enterprise data platforms supporting analytics BI or ML workflows
Proven experience building optimizing and securing large-scale cloud data pipelines
Hands-on experience with cloud data storage platforms such as Snowflake and BigQuery
Experience supporting data migration projects and implementing data governance frameworks
Industry experience in finance healthcare or large enterprise data environments is a plus
Day-to-Day Activities
Design and implement scalable secure data pipelines supporting analytics and ML workflows
Collaborate with data scientists analytics and platform teams to support data ingestion feature engineering and model deployment
Automate data workflows and infrastructure management supporting CI/CD pipelines
Troubleshoot pipeline performance data quality issues and security concerns
Support cloud migration projects by optimizing storage compute and data pipelines supporting multi-region deployments
Maintain documentation of data architecture schemas policies and operational procedures
Monitor system health through dashboards logs and analytics tools to proactively address issues
Qualifications
Bachelors or Masters degree in Data Science Computer Science or related discipline
6 years supporting or developing enterprise data pipelines warehouses or lakes on cloud platforms
Certifications such as Google Professional Data Engineer AWS Big Data certifications or Azure Data Engineer are a plus
Demonstrated ability to deliver reliable scalable and compliant data solutions supporting enterprise analytics and ML
Professional Competencies
Analytical and troubleshooting skills for complex data pipeline issues
Effective communication skills for collaborating with technical teams and stakeholders
Leadership qualities to mentor junior engineers and foster best practices
Strategic thinking to design scalable secure and compliant data platforms supporting business growth
Adaptability to evolving technologies including cloud services data governance and analytics tools
Organizational skills to manage multiple projects and meet deadlines 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.
Required Experience:
IC
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
