Snowflake Data Engineer

Job Summary

Synechron is seeking a detail-oriented and skilled Snowflake Data Engineer to join our Data & Analytics 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

Bachelors degree in Computer Science Information Technology or a related discipline; Masters 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

S YNECHRONS 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 .

Candidate Application Notice

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Full-Time

Experience : years

Vacancy : 1