Data Engineer Data Engineer (Snowflake, DBT & AWS)
About this role
We are seeking experienced Data Engineers to design, build, and support scalable cloud-based data solutions. The role will involve developing modern data pipelines, ETL/ELT frameworks, and data integration solutions using Snowflake, DBT, AWS, Python, and SQL.
The ideal candidate will have strong hands-on experience building and operating data platforms, transforming data from multiple sources, implementing robust data quality controls, and developing data models that support analytics and business reporting. Candidates should be self-starters who can work independently, contribute to solution design, and ensure security and governance standards are maintained.
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines using Snowflake, DBT, AWS, and Python.
- Build and optimize data models, transformations, and orchestration workflows.
- Develop frameworks to ingest data from databases, APIs, flat files, CSVs, and other enterprise data sources.
- Create reusable and automated data transformation processes using DBT.
- Design and implement Snowflake data warehouses, schemas, tables, views, and performance optimization strategies.
- Develop data quality, validation, reconciliation, and monitoring solutions.
- Implement secure data movement and integration patterns across cloud and on-premise systems.
- Work closely with business stakeholders, architects, analysts, and downstream consumers to understand requirements and deliver scalable solutions.
- Support deployment and release activities across development, test, and production environments.
- Ensure compliance with security, governance, and PII data protection requirements.
- Troubleshoot and resolve production data issues while maintaining high availability and reliability.
Mandatory Skills & Experience
Technical Skills
- Strong experience with Snowflake Data Cloud.
- Hands-on expertise in DBT (Data Build Tool) for transformations and data modeling.
- Strong experience with AWS services including:
- S3
- Lambda
- Glue
- IAM
- CloudWatch
- Step Functions (preferred)
- Advanced SQL development and query optimization skills.
- Strong Python programming experience for data engineering and automation.
- Experience building enterprise ETL/ELT pipelines.
- Experience working with structured and semi-structured data (JSON, XML, CSV).
- Knowledge of data governance, security, and access management.
- Experience in CI/CD and DevOps practices for data platforms.
Snowflake Expertise
- Snowflake architecture and administration.
- Snowpipe, Streams & Tasks.
- Data sharing and secure views.
- Performance tuning and query optimization.
- Role-based access controls (RBAC).
- Data ingestion and transformation frameworks.
DBT Expertise
- DBT models and macros.
- Incremental loading strategies.
- Data testing and validation.
- Source-to-target mapping.
- Documentation and lineage.
- CI/CD integration with DBT.
Desirable Skills
- Experience with Airflow, Prefect, or similar orchestration tools.
- Knowledge of data lake and lakehouse architectures.
- Experience with AI-assisted development tools such as:
- Claude Code
- GitHub Copilot
- Amazon Q
- Experience within Banking, Financial Services, or regulated environments.
- Exposure to real-time and streaming data solutions.
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.
Company at a glance
At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our Synechron Labs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,000+, and has 55 offices in 20 countries within key global markets. For more information on the company, please visit our website:www.synechron.com.
Top Benefits
- Flexible workplace arrangements
- Mentoring
- Internal mobility
- Learning and development programs
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