Senior Data Engineer, Engineering
Senior Data Engineer, Engineering
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Job Description
Welcome to an exciting opportunity to join our dynamic and forward-thinking Data Engineering team! At CPP Investments we are at the forefront of leveraging cutting-edge technologies to drive innovation and excellence in data solutions. As a Senior Data Engineer you will be an integral part of our mission to transform data into actionable insights empowering our organization to make data-driven decisions with precision and agility.
As a Senior Data Engineer you will lead pieces of work focused on developing constructing testing and maintaining Enterprise Data and large-scale processing systems. You will drive engineering excellence and continuous improvement within your team applying data engineering best practices to support the organizations data initiatives and contribute to the enhancement of Enterprise Data Products.
Accountabilities:
- Own aspects of designing building and maintaining scalable and efficient data pipelines to Data Products from various sources to storage and analytical systems.
- Provide on-call support for production systems identify and create automation for reducing MTTR and mature operational runbooks.
- Help implement processes and tools to monitor and improve data quality including data profiling data freshness and ensuring SLA adherence.
- Partner with Data Governance team to establish data governance policies and procedures to ensure data accuracy privacy and security.
- Advocate and drive adoption of DevOps & QE culture supporting presentations in various internal forums and sessions on product releases best practices and provide consulting guidance and implementation assistance to users/application teams.
- Collaborate with cross-functional teams such as data scientists analysts and software engineers to understand data requirements and deliver solutions that meet business needs.
- Stay updated on emerging technologies trends and best practices in data engineering and related fields. Continuously evaluate and adopt new tools and techniques to enhance productivity and innovation.
Qualifications :
- Undergraduate degree or college diploma in related field (e.g. Engineering Computer Science).
- 4 years of relevant experience.
- Experience working with Big Data including change data capture. data quality data lineage etc.
- Solid programming skills with professional programming experience in AWS Data & Analytics context (EMR Glue Lakeformation Airflow PySpark Trino Hudi Iceberg)
- Expertise with data quality principles data profiling techniques and data governance best practices.
- AWS Certified Data & Analytics Specialty
Additional Information :
Visit our LinkedIn Career Page or Follow us on LinkedIn. #LI-KE1 #LI-Onsite
At CPP Investments we are committed to diversity and equitable access to employment opportunities based on ability.
We thank all applicants for their interest but will only contact candidates selected to advance in the hiring process.
Our Commitment to Inclusion and Diversity:
In addition to being dedicated to building a workforce that reflects diverse talent we are committed to fostering an inclusive and accessible experience. If you require an accommodation for any part of the recruitment process (including alternate formats of materials accessible meeting rooms etc.) please let us know and we will work with you to meet your needs.
Disclaimer:
CPP Investments does not accept resumes from employment placement agencies head-hunters or recruitment suppliers that are not in a formal contractual arrangement with us. Our recruitment supplier arrangements are restricted to specific hiring needs and do not include this or other web-site job postings. Any resume or other information received from a supplier not approved by CPP Investments to provide resumes to this posting or web-site will be considered unsolicited and will not be considered. CPP Investments will not pay any referral placement or other fee for the supply of such unsolicited resumes or information.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
