data engineer
Posted on April 05, 2024
by
Employer details
Intersog
Job details
This role is for those passionate about shaping the future of data infrastructure and eager to tackle the challenges of big data in a dynamic, collaborative environment. A Data Engineer plays a pivotal role by developing and overseeing the frameworks and systems that process and store vast data volumes efficiently. This individual works in sync with data scientists, analysts, and various stakeholders to guarantee data accessibility, accuracy, and integrity for strategic insights and operational efficiency.
*Responsibilities:*
* *Data Architecture and Infrastructure (*craft and implement resilient data models catering to business needs; develop scalable data architectures to support business expansion and diversifying data demands)
* *Pipeline Engineering (c*onstruct and manage efficient pipelines for smooth data flow from disparate sources to storage or warehousing solutions; enhance ETL processes for improved performance and reliability)
* *Data Management Solutions (*deploy and oversee relational (SQL, PostgreSQL) and NoSQL (MongoDB, Cassandra) database solutions; establish and maintain data lakes for comprehensive data storage)
* *Data Integrity *(identify and resolve coding issues and ensure data quality through robust validation and cleaning methods; collaborate with various teams to tackle data-related challenges, ensuring clean and dependable data sets for the business)
* *Technical Expertise and Innovation (*keep abreast of the latest trends and technologies in data engineering; offer insights on advanced data engineering practices and tools.
* *Client-focused Solutions: (*collaborate closely with clients to understand and fulfill their data engineering needs)
* *Leadership and Collaboration (*mentor and develop junior Data Engineers; work across teams to integrate data solutions effectively and contribute to technical discussions and planning).
*Requirements:*
* Bachelor?s degree or higher in Computer Science, Data Science, or a related field.
* Proficiency in languages such as Python, Java, or Scala and experience with big data frameworks (Hadoop, Spark, Kafka).
* Familiarity with cloud platforms (AWS, Azure) and data integration tools.
* A strong foundation in data ingestion, storage, orchestration, and management on cloud platforms, with a preference for Azure or AWS.
* At least 3-5 years in a Data Engineering role, with hands-on experience in metadata-driven design patterns for data pipelines and cloud-based solution design and implementation.
* Azure or AWS certifications in Data Engineering.
* Knowledge of data modeling and warehousing principles.
* Willingness to travel for client engagements or team collaboration.
* Excellent communication skills to effectively articulate complex technical concepts.
Job Type: Full-time
Salary: From $90,000.00 per year
Benefits:
* Dental care
* Extended health care
* Paid time off
* Vision care
* Work from home
Schedule:
* Monday to Friday
Work Location: In person
-
LocationToronto, ON
-
Salary$90,000YEAR annually
-
Terms of employment
Full time
- Start date
Starts as soon as possible
- vacancies
1 vacancy
- Source
indeed.com
#9224183681
Important notice: This job posting has been provided by a partner site. Job Bank is not responsible for this content.
Report a problem with this job posting
Thank you for your help!
You will not receive a reply. For enquiries, please contact us.