Snowflake Data Engineer

Synechron Canada ULC_CANADA Company

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Pune - Client Location Until 10/6/2026 3+ years exp First posted August 7, 2026 Last posted August 7, 2026
Job description

Job Title: Snowflake Data Engineer

As a Snowflake Data Engineer, you will be responsible for designing, developing, and maintaining ETL/ELT processes to support data integration and analytics using the Snowflake platform. You will work closely with data architects, analysts, and other stakeholders to ensure data is accurately and efficiently processed and stored.

What You Will Do:

  • Design and Develop ETL/ELT Processes: Create and maintain ETL/ELT processes to extract, transform, and load data from various sources into Snowflake.
  • Data Integration: Integrate data from multiple sources, ensuring data quality and consistency.
  • Performance Optimization: Optimize ETL/ELT processes for performance and scalability.
  • Collaboration: Work with data architects, analysts, and other stakeholders to understand data requirements and deliver solutions.
  • Documentation: Document ETL/ELT processes, data models, and other relevant information.
  • Troubleshooting: Identify and resolve issues related to ETL/ELT processes and data integration.
  • Data Modeling: Develop and maintain data models to support analytics and reporting.

What You Will Need to Have:

  • 3-6 years overall IT experience
  • 2+ years Snowflake platform Data Engineering experience
  • 2+ years experience in writing complex SQL queries, stored procedures, analytical functions
  • Good experience with Python scripting
  • Knowledge of data warehousing, ETL/ELT concepts and best practices
  • Experience with ETL/ELT tools such as Informatica, Talend, or similar
  • Strong database concepts like Entity-relationship, Data modeling, DDL and DML statements etc.
  • Bachelor’s degree required; relevant, equivalent work experience may be substituted for degree requirement.
  • Strong analytical and problem-solving skills.
  • Excellent communication skills to collaborate with stakeholders and document processes.
  • Ability to work independently and as part of a team.

What Would Be Great to Have:

  • Snowflake SnowPro certification
  • Github, similar code versioning tool experience
  • AWS experience
  • Agile development environment
  • Domain experience in Cards, banking, and financial services industry

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.

Candidate Application Notice

About this role

Summary

Design, develop, and optimize ETL/ELT processes for data integration using Snowflake.

Job title

Snowflake Data Engineer

Experience level

3-6 years

Minimum experience

3+ years exp

Industry

software

Location requirements

Pune, on-site; no remote work mentioned

Salary

Not specified

Management role

No

Skills & keywords

Required skills

SQLPythonETL/ELTdata warehousingdata modeling

Preferred skills

snowflake snowpro certificationgithubAWSagilefinancial industry

Specializations

snowflakeSQLETL/ELTPythondata modeling
Locations

Structured locations inferred from the posting.

Pune, Maharashtra, India

On-site City