Azure Ml Pipeline Developer Jobs

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Data Engineer

A-dec, Inc. (USA) Newberg, OR

Newberg, OR

Today

Full time Azure Azure Data Factory Azure Data Platform

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Job Description

The Data Engineer role at A-dec, Inc. (USA) focuses on expanding and optimizing data architecture, building data integrations, and improving data flow to support cross-functional teams working across software development, data architecture, and analytics. This position also supports real-time and batch ingestion into the EDW and helps optimize the company’s data warehouse for next-generation products and data initiatives.

Responsibilities

Build real-time and batch data integrations from disparate source systems into the EDW.
Collaborate with data and analytics experts to improve the functionality of data systems.
Write complex SQL queries for reporting and application consumption.
Assemble large, complex data sets that satisfy functional and non-functional business requirements.
Design and implement real-time ETL and batch processing to support modeling and reporting needs.
Provide production support for data integration and transformation pipelines.
Scale and tune data pipelines, databases, and SQL queries to improve performance.
Build and maintain data reconciliation processes.
Identify trends in data sets and develop algorithms that make raw data more usable for the enterprise.
Connect data to users across mixed cloud and on-prem environments.
Improve data reliability, efficiency, and overall data quality.
Partner with data architects and analysts to support modeling and reporting, and to build and maintain internal data processing and visualization.
Translate requests into replicable analytic reports using varying applications.
Create tools to deliver data, including APIs and packages, as needed.
Troubleshoot database software and data integrity issues, including root cause analysis.

Requirements

Bachelor’s degree in Computer Science or a related technical field (or equivalent practical experience).
2+ years of experience in Information Technology with a focus on Business Applications, Data Engineering, Data Architecture, Data Analytics and Science.
Strong understanding of data warehousing and Business Intelligence environments.
Excellent problem solving, critical thinking, and communication skills.
Experience with distributed source code version control systems (for example, git).
Experience with a ticketing system such as ServiceNow or JIRA.
Expertise with Python, databases, and SQL.
Strong analytic skills working with unstructured datasets.
Experience with data pipeline and workflow management tools.

Preferred Qualifications

Experience in an Azure environment (for example, Synapse, Azure SQL DB, Azure ML Pipeline, Azure Data Factory).
Knowledge of machine learning and data science processes.
Experience building reports and dashboards using BI tools.
Basic knowledge of statistics.
Strong communications skills for requirements gathering.

Technologies

Python, SQL, git, ServiceNow, JIRA, EDW, Azure, Synapse, Azure SQL DB, Azure ML Pipeline, Azure Data Factory, APIs.

Location and Experience

Location: Newberg, OR (onsite)
Minimum experience: 2 years
Education: Bachelor’s degree in Computer Science or related technical field (or equivalent practical experience)

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