Lead Python Data Engineer

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

We are seeking a passionate and highly skilled Lead Python Data Engineer to spearhead the development and maintenance of cutting-edge data infrastructure. As a leader in the data team, Candidate will play a pivotal role in designing, building, and optimizing data pipelines that empower the organization with insightful and actionable data. If candidate thrives in a fast-paced environment, possess a strong collaborative spirit, and are eager to make a significant impact, we encourage candidate to apply.

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:

• Lead the design and development of data pipelines for ingestion, transformation, and loading of data from various sources (databases, APIs, streaming platforms) into our data warehouse/lake.
• Write optimized and maintainable SQL queries and leverage SQLAlchemy for efficient database interaction.
• Implement robust data quality checks and monitoring systems to ensure data integrity and accuracy.
• Develop comprehensive documentation and contribute to knowledge sharing within the team.
• Contribute to the design and implementation of data governance policies and procedures.\n.
• 5+ years of hands-on experience in a Data Engineering role, with a strong proficiency in Python (version 3.6+).
• Extensive experience working with relational databases and writing complex SQL queries.
• Proven expertise with SQLAlchemy or similar ORM libraries.
• Experience with workflow management tools like Airflow (experience with PySpark or PyFlink is a major plus).
• Solid understanding of data warehousing concepts and experience working with large datasets.
• Ability to guide and mentor junior developers, fostering a collaborative team environment.
• Strong communication skills, both written and verbal, with the ability to explain complex technical concepts to both technical and non-technical audiences.
• Experience deploying and managing applications on cloud platforms like Openshift, ECS, or Kubernetes.

Requirements:

• Experience level 10+ years.
• Design, architect, and implement robust and scalable data pipelines using Python and related technologies (Airflow, PySpark, PyFlink are a plus). 
• Champion best practices for data engineering, code quality, testing, and deployment.
• Mentor and guide a team of talented data engineers, fostering a collaborative and high-performing team culture.
• Collaborate closely with Data Scientists, Data Analysts, and business stakeholders to translate complex business requirements into efficient data solutions.  
• Continuously research and implement new technologies and best practices to improve the efficiency and scalability of our data platform.
• Take ownership of the deployment and monitoring of data pipelines and related infrastructure on cloud platforms such as Openshift, ECS, or Kubernetes.

Preferred, but not required:

• Experience with data visualization tools and techniques.
• Familiarity with agile development methodologies.
• Contributions to open-source projects or active participation in the data engineering community.
• Banking / Financial experience is preferred.

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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