126 applicants

Company

ECCO Select · 5 hours ago

Sr. Azure Data Engineer

United States

Full-time

Remote

Senior Level, Lead/Staff

$65/hr - $70/hr

10+ years exp

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Responsibilities

Work with a highly dynamic team focused towards Digital Transformation

Understand the domain and business processes to implement successful data pipelines.

Provide work status, and coordinate with Data Engineers

Manage customer deliverables and regularly report the status via Weekly/Monthly reviews.

Ability to work in a dynamic environment with changing requirements.

Good communication and presentation skills

Working experience with a wide range of data technologies, data modeling, and metadata management.

Working experience with T-SQL and relational databases including currently supported versions of Microsoft SQL Server in Azure.

Design, develop and maintain Stored Procedures, Functions and Views

Working experience with development and maintenance of Data Factory data pipelines.

Working experience with development and maintenance of data pipelines on the Databricks platform in Azure.

Working experience using DevOps CI/CD in Azure.

Program in T-SQL with relational databases including currently supported versions of Microsoft SQL Server

Working experience using SQL and Python.

Write high performance SQL queries using Joins, Cross Apply, Aggregate Queries, Merge, Pivot

Design, develop and maintain Stored Procedures, Functions and Views

Design normalized database tables with proper indexing and constraints

Perform SQL query tuning and performance optimization on complex inefficient queries

Provide guidance in the use of table variable, temporary table, CTE appropriately to deal with large datasets

Collaborate with DBA on database design and performance enhancements

Leading in all phases of the software development life cycle in a team environment

Debug existing code and troubleshoot for issues

Design and provide a framework for maintaining existing data warehouse for reporting and data analytics

Following best practices, design, develop, test and document ETL processes

Develop data cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching

Keep up-to-date with the latest database features, techniques, and technologies

Support current business applications including the implementation of bug fixes as needed

Able to multi-task and adapt to shifting priorities

Able to meet deadlines set in project planning

Effectively communicate progress through the project execution phase

Follow industry and company standard coding practices

Produce technical and application documentation

Produce quality deliverables upon deployment

Other duties as assigned.

Qualification

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T-SQLSSRSETLData FactoryDataBricksDevOps CI/CDMicrosoft SQL ServerData warehousingPythonSSISSSASData lakehouse architectureSupervising data infrastructureData flowsMicrosoft Certifications