Senior Data Engineering Advisor

Adecco is currently hiring a full-time Senior Data Engineering Advisor for our client in Calgary, AB.

In this role, you'll mostly be responsible for leading and overseeing the design, development, and maintenance of complex data infrastructure and architectures. Your role will involve collaborating with cross-functional teams to understand business requirements, providing strategic guidance on Data Engineering best practices, and implementing scalable solutions.

The ideal candidate should possess 5 to 10+ years of experience in a data-related role and demonstrate proficiency in any of the following programming languages, frameworks, and technologies: Python, R, as well as open-source databases such as PostgreSQL, MySQL, and MongoDB.

Embark on an exciting journey with us, apply today!

• Location: Calgary, AB

• Shifts: Monday – Friday | 40 hours/week

• Job type: Full-time | Temporary | 1 year contract

Here’s why you should apply:

• Hires fast, pays weekly

• 4% vacation pay paid out on each weekly pay cheque

• Medical and dental benefits once qualified

• Free training programs

• New and quicker onboarding process

Duties and Responsibilities:

• You will apply your skills to help engineer data that provides business insights for our company

• Work with various data stakeholders throughout the organization to identify opportunities for leveraging company data that drives business solutions

• Building, fostering and participating in a data community to connect data producers with data consumers and develop data literacy

• Work with various data stakeholders across the organization in the utilization of a modern data architecture that enables the collection, transformation, storage, modeling and delivery of data to consumers and practitioners

• Apply data governance practices and procedures in the design and development of data pipelines

• Collaborate with cross-functional teams to design and develop data pipelines for visualization or analytic solutions

• Perform maintenance and support activities for data pipelines

• Support build of big data environments that enable analytics solutions on a variety of big data platforms, including assessing the usefulness of new technologies and advocating for their adoption

Qualifications & Skills:

• Must be eligible to work and reside within Canada

• Proficiency in data analytics and visualization platforms such as Microsoft Power BI or Spotfire
  Proficiency in common machine Learning libraries in Python, Spark, and Deep Learning/AI frameworks

• Undergraduate degree in Computer Science, Engineering, Applied Mathematics, Commerce with a Business Analytics concentration or related Information Science.

• Good knowledge of oil and gas operations

• Familiarity with common oil & gas applications (Well & Land, Subsurface, Production operations, Drilling, Engineering, etc.)

• Competently communicates both verbal and written with strong listening skills

• 5 - 10+ years of experience in a data related role

• Willingness to learn and offer new creative ways to work that makes our team more agile and adaptable

• Commitment to being a team player who values and respects the differences in working within a diverse and inclusive team.

• Technical expertise in developing data integrations, logical and physical data models, data mining, and data warehousing.
  Proficiency in SQL

• Deep understanding of architectures of traditional data architecture practices (MDM, ODS, data warehousing and other), as well transition to Next-Gen platforms such as Lakehouse Architecture, Cloud, distributed ledgers, etc.

• Hands-on experience with various relational and NoSQL database technologies, including SQL Server, DB2, Oracle, HANA, Azure DB, AWS RDS, etc.

• Understanding of Data Governance strategy, practices and procedures to effectively deliver secure, trusted, and high-quality data.

• Experience creating and maintaining data pipelines that operate on a variety of sources, such as APIs, FTP sites, cloud-based blob stores, databases (relational and non-relational), unstructured data, etc.

• Experience with big data platforms, cloud technologies and server-less environments (such as AWS, Azure, Redshift, EMR, etc.)

• Proficiency in one or more of the following data modelling/ data munging/ data management toolsets such as Databricks, Data

• Virtualization, SQL Server, Streamsets, Azure Synapse, Redshift, Azure Data factory, AWS Glue, Alation Data Catalog, etc.

• Proficiency in big data technologies including querying, creating and populating data lakes.

• Proficiency in any of the following programming languages, frameworks and technologies: Python, R, open source databases such as PostgreSQL, MySQL, MongoDB 

Don’t miss out on this Senior Data Engineering Advisorjob in Calgary, apply now! Our dynamic team of recruiters will reach out if you qualify for this role.

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