Lead Python Data Engineer
Lead Python Data Engineer
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1 Vacancy
Job Description
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 industryleading digital solutions. Synechrons progressive technologies and optimization strategies span endtoend 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 mobilefirst 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 14500 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 cuttingedge 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 fastpaced 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 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 handson 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 nontechnical 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 highperforming 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 opensource 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 longterm disability.
- Flexible hybrid policy.
- RRSP with employers contribution up to 4.
- A higher education certification policy.
- Ondemand 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 worlds leading tierone banks financial institutions and insurance firms.
- A truly diverse funloving and global work culture.
SYNECHRONS 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.
Employment Type
Full-Time
