Python PySpark Snowflake Developer

We are

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 FinLabs 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 14,500+, and has 58 offices in 21 countries within key global markets.

Our challenge

The challenge for a Data Engineer with Python and Snowflake is to design, develop, and operationalize robust, scalable data pipelines and data warehouses on Azure that seamlessly integrate various tools and technologies. Candidate must ensure efficient data ingestion, transformation, and management while maintaining high performance, reliability, and adherence to best practices, all within a complex, dynamic cloud environment.

Additional Information* 

The base salary for this position will vary based on geography and other factors.  In accordance with law, the base salary for this role if filled within Mississauga, ON is CAD $130k – CAD $135k/year & benefits (see below).

The Role

Responsibilities:

• Hands-on development experience with Snowflake features such as Snow SQL; Snow Pipe; Python; Tasks; Streams; Time travel; Zero Copy Cloning; Optimizer; Metadata Manager; data sharing; and stored procedures.
• Experience in Data warehousing - OLTP, OLAP, Dimensions, Facts, and Data modeling.
• Need to have working knowledge of MS Azure configuration items with respect to Snowflake.
• Developing EL pipelines in and out of data warehouse using combination of Data bricks, Python and Snow SQL.
• Strong understanding or Snowflake on Azure Architecture, design, implementation and operationalization of large-scale data and analytics solutions on Snowflake Cloud Data Warehouse.
• Developing scripts UNIX, Python etc. to Extract, Load and Transform data, as well as other utility functions.
• Provide production support for Data Warehouse issues such data load problems, transformation translation problems.
• Translate mapping specifications to data transformation design and development strategies and code, incorporating standards and best practices for optimal execution.
• Understanding data pipelines and modern ways of automating data pipeline using cloud based testing and clearly document implementations, so others can easily understand the requirements, implementation, and test conditions.
• Perform code reviews to ensure fit to requirements, optimal execution patterns and adherence to established standards.

Requirements:

• Minimum 8 years of designing and implementing an operational production grade large-scale data solution on Microsoft Azure Snowflake Data Warehouse.
• Including hands on experience with productionized data ingestion and processing pipelines using Python, Data bricks, Snow SQL.
• Excellent understanding of Snowflake Internals and integration of Snowflake with other data processing and reporting technologies.
• Excellent presentation and communication skills, both written and verbal, ability to problem solve and design in an environment with unclear requirements.

Preferred, but not required:

• Detail-oriented, ability to turn deliverables around quickly with a high degree of accuracy.
• Strong analytical skills, ability to interpret business requirements and produce functional and technical design documents.
• Good time management skills – Ability to prioritize and multi-task, handling multiple efforts at once.
• Strong desire to understand and learn domain.
• Experience in a financial services/banking industry.
• Ability to work in a fast-paced environment; to be flexible and learn quickly.
• Ability to multi-task with attention to detail/ prioritize tasks.

We offer:

• A multinational organization with 58 offices in 21 countries and the possibility to work abroad.
• 15 days (3 weeks) of paid annual leave plus an additional 10 days of personal leave (floating days and sick days).
• A comprehensive insurance plan including medical, dental, vision, life insurance, and long-term disability.
• Flexible hybrid policy.
• RRSP with employer’s contribution up to 4%.
• A higher education certification policy.
• On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.
• Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
• Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms.
• A truly diverse, fun-loving and global work culture.

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.

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