Data Engineer

4 weeks ago

Redmond, United States People Tech Group Inc Full time

Job Role: Data Engineer

Location: Redmond, WA (onsite)

Duration: Full time


Job Description

• We have built out a modern cloud-based data platform for delivering robust analytic solutions. We are seeking a highly motivated, talented IT Data Engineer to join our IT team.

• The successful candidate should have an innovative spirit with a passion for solving complex cloud platform and data problems.

• You are a champion at enabling automation and have a relentless focus on designing and building data pipelines and models with high data quality.

• You are a continuous learner, eager to identify best practices and share knowledge with the team.


Roles & Responsibilities

• Azure - Azure Dev-ops

• Power BI - Power Query, Power Pivot, Power BI Desktop, Power BI Service

• Snowflake - Used Snowflake and maintained Databases inside it, SQL queries

• Work with business customers, data science, and IT teams to gather requirements that drive data pipeline engineering and data modelling decisions.

• Design, develop, and maintain complex data pipelines from our key internal/external source systems to our modern data platform.

• Enhance and maintain core platform ingestion, storage, modelling, and analytic resources.

• Embrace DevOps to quickly deploy high quality solutions with standard CI/CD and IaC practices.

• Proactively identify ways to improve data reliability, efficiency, and quality. Identify incomplete data and data integration opportunities.

• Perform root cause analysis of system issues and identify and build solutions to resolve.

• Identify, develop, and maintain solutions that automate, simplify, and improve overall service delivery.

• Train, mentor, and share knowledge with other team members.

• Follow change management processes and procedures in-line with IT controls.

• Participate in on-call rotation with team and on-going support of data products.

• Bachelor’s degree in computer science,

• Information Technology or related field, or equivalent experience is required.

• Typically requires a minimum of four (4) to six (6) years of experience engineering data analytic solutions.

• Ability to balance multiple assignments and shift gears when new priorities arise.

• Possess a strong work ethic, exceptional customer service, and commitment to delivering results to the organization.

• Outstanding verbal, written, and presentation skills to both technical and non-technical audience at all levels within the organization.

• Possess strong analytical and problem-solving skills with the ability to effectively negotiate with other teams to create a mutually beneficial solution.

• Technical Qualifications

• Experience orchestrating and operationalizing data pipelines with structured and semi structured data sources.

• Experience enabling platform and pipeline automation with IaC tools (e.g. Terraform, Azure Dev Ops, etc.)

• Experience enabling data solutions for ingestion, storage, modelling, on cloud technologies platforms (e.g. Azure, AWS, etc.).

• Experience in data modelling and data warehousing techniques using cloud platforms (e.g. Snowflake, dbt, etc.).

• Experience working with analytic modelling tools (e.g. Power BI, DAX)

• Expert in writing complex SQL queries and understand the methods to tune query performance.

• Experience with programming languages such as python, java, C#, etc.

• Understanding of machine learning concepts and tooling

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