Job Summary
Synechron is seeking a detail-oriented and skilled Snowflake Data Engineer to join our Data & Analytics team. In this role, you will be responsible for designing, developing, and maintaining our Snowflake data platform, ensuring efficient data integration, storage, and retrieval to support business insights and decision-making. Your expertise will enable the organization to leverage data effectively through optimized data pipelines, adherence to governance standards, and proactive performance management. Collaboration with cross-functional teams and continuous enhancement of data solutions will be key to supporting strategic business objectives.
Software Requirements
Required:
Snowflake platform (latest features and best practices)
SQL proficiency for data modeling and query optimization
ETL/ELT tools: Apache Airflow, Fivetran, or similar workflows orchestrators
Cloud platforms: AWS, Azure, or GCP (integration with Snowflake)
Scripting languages: Python, Bash
Version control: Git
Data governance, security policies, and compliance tools
Preferred:
Snowflake certifications (e.g., SnowPro)
CI/CD tools for data deployment workflows
Knowledge of other big data technologies (Hadoop, Spark)
Overall Responsibilities
Design, develop, and optimize data pipelines and ETL/ELT processes utilizing Snowflake and associated tools
Collaborate with data analysts, scientists, and business stakeholders to understand data requirements and craft scalable solutions
Implement best practices for data security, compliance, and performance tuning within Snowflake environments
Monitor and troubleshoot data workflows to ensure robustness, accuracy, and timeliness of data delivery
Automate data processing workflows to improve efficiency and reduce manual interventions
Maintain comprehensive documentation of data architecture, pipelines, and processes
Stay current with new Snowflake features and industry best practices, recommending improvements and innovations
Participate in testing, deployment, and code reviews to ensure high-quality data solutions
Technical Skills (By Category)
Programming Languages (Essential):
Python, Bash
Databases / Data Management:
Snowflake (core platform)
Data modeling techniques, schema design, performance optimization within Snowflake
Cloud Technologies:
Cloud platform integration with Snowflake: AWS, GCP, or Azure
Frameworks and Libraries:
Snowflake connectors, Python libraries for data processing (e.g., Snowflake Connector for Python)
Development Tools and Methodologies:
ETL/ELT orchestration: Apache Airflow, Fivetran, or equivalent
Version control: Git
CI/CD pipelines for data deployments (preferred)
Security Protocols (Preferred):
Data encryption, access controls, data masking in Snowflake
Security compliance and data governance standards
Experience Requirements
4 to 10 years of experience working as a data engineer or similar role, with significant exposure to Snowflake
Proven experience designing and managing ETL/ELT data pipelines in cloud environments
Hands-on experience with cloud data platform integrations (AWS, Azure, or GCP)
Familiarity with data governance, security, and compliance best practices in data warehousing
Previous experience working with data stakeholders, translating requirements into scalable data solutions
Day-to-Day Activities
Develop, test, and deploy data pipelines and workflows aligned with business needs and governance standards
Collaborate with data analysts and data scientists to understand complex data requirements and deliver solutions
Optimize and troubleshoot existing data workflows for efficiency and reliability
Automate routine processes to improve operational workflows and reduce manual effort
Monitor system performance and implement enhancements for speed and scalability
Conduct code reviews, participate in deployment planning, and document technical solutions
Stay active in learning new Snowflake features, tools, and industry trends to recommend continuous improvements
Engage with cross-functional teams to support data initiatives and resolve data issues promptly
Qualifications
Bachelor’s degree in Computer Science, Information Technology, or a related discipline; Master’s is preferred
Relevant certifications such as SnowPro Certification or equivalent are advantageous
Proven track record of data engineering in cloud-based data warehousing environments
Continuous learning mindset with interest in advancing skills in cloud data platforms and governance
Professional Competencies
Strong analytical and problem-solving skills focused on scalable data solutions
Ability to interpret complex data requirements and translate them into technical specifications
Excellent communication skills, capable of collaborating with technical and non-technical stakeholders
Organizational skills to manage multiple projects with evolving priorities
Proactive approach to identifying improvements and automating workflows
Commitment to data security, governance, and industry compliance standards
SYNECHRON’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.
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