Design, build, and maintain scalable data pipelines and architectures using Snowflake, Spark/PySpark, Hadoop, Databricks and Azure. Write high-quality Python and SQL, optimize workflows for large financial datasets, and integrate data governance, metadata management, and lineage tracking.
Job Summary
Title: Data Implementation Engineer
Location: Toronto, Canada
Duration: 6-12 months and then keep renewing based on performance/requirements
Hybrid 3 days from client office in Ethoca office
Key Skills: Snowflake, PySpark, Azure, DevOps
Domain: BFSI preferred
Skills & Qualifications:
Responsibilities:
The pay range for this role is CAD $100,000- $110,000 per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience and location of the candidate.
AI tools may assist in the recruitment process; however, all hiring decisions are made by the recruitment team based on a comprehensive evaluation of candidates.
"Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin, or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at [email protected] ."
Title: Data Implementation Engineer
Location: Toronto, Canada
Duration: 6-12 months and then keep renewing based on performance/requirements
Hybrid 3 days from client office in Ethoca office
Key Skills: Snowflake, PySpark, Azure, DevOps
Domain: BFSI preferred
Skills & Qualifications:
- 4+ years of Data Engineering experience
- Advanced SQL; experience with relational and NoSQL databases
- Strong experience with Snowflake, Hadoop, Spark, PySpark, Databricks, Azure
- Proficiency in Python for data engineering
- Familiarity with orchestration tools and workflow management systems
Responsibilities:
- Design, build, and maintain scalable data pipelines using Snowflake, Hadoop, Spark, PySpark, Azure
- Implement data architectures and optimize workflows for large financial datasets
- Write high-quality, maintainable Python and SQL code following best practices
- Integrate data governance, metadata management, and lineage tracking into solutions
The pay range for this role is CAD $100,000- $110,000 per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience and location of the candidate.
AI tools may assist in the recruitment process; however, all hiring decisions are made by the recruitment team based on a comprehensive evaluation of candidates.
"Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin, or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at [email protected] ."
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