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Senior Data Engineer

1 month ago

Houston, Texas, United States Collabera Full time
About the Role

We are seeking a skilled Data Engineer to join our engineering team, focusing on leveraging Azure SQL, CosmosDB & DataBricks to meet our growing data demands.

As a Sr. Data Engineer in the Apex organization, you will be part of the Scrum team, developing data capabilities powering customer-facing applications used by thousands of residents.

You will play a critical role in supporting the data needs of the engineering team as you develop and optimize the backend for customer-facing real estate applications.

Key Responsibilities
  • Develop and unit test database code, including but not limited to T-SQL, stored procedures, functions and views.
  • Own/Maintain the DataBricks data ingestion & output for our MS Customer Insights CDP platform.
  • Create and maintain database structures.
  • Participate in the design of databases, using first, second or third normalized form as needed to support business requirements.
  • Create, deploy, and maintain ADF pipelines, adhering to client's standards and documented best practices.
  • Monitor database performance, identify bottlenecks and implement improvements to ensure scalable and reliable database operations in a production environment.
  • Perform analysis of complex data and document findings.
  • Prepare data for prescriptive and predictive modeling.
  • Combine raw data from different external sources and build and support complex ingestions.
  • Collaborate with application developers/data analysts who will be consuming the data.
  • Play a direct role in the maintenance, technical support, documentation, and administration of databases.
  • Ensure standards are followed by participating in code reviews.
Requirements
  • 6+ years relevant and progressive data engineering experience.
  • Deep Technical knowledge and experience in MS Azure architecture, including Azure PaaS databases, Synapse, ADF pipelines and Synapse stored procedures.
  • 3+ Years of Experience with CosmosDB.
  • 2+ Years of Experience with DataBricks.
  • Minimum of 3 years of relevant experience working with Azure Data Factory.
  • Hands-on skills working with data pipelines using SQL and No-SQL databases.
  • Minimum of 1 year of relevant experience working with Azure Data Lakes Gen 2.
  • Experience with Power Platform / Power BI.
  • Experience in engineering practices such as code refactoring, design patterns, CI/CD, and highly scalable data applications.
  • Experience developing batch ETL pipelines; real-time pipelines are a plus.
  • Knowledge of advanced data engineering concepts such as dimensional modeling, ETL, data governance, data warehousing, structured and unstructured data.
  • Understanding / Experience with Python; additional knowledge of parallel processing frameworks like MapReduce, Spark, Scala is a plus.
  • Experience / Familiarity with D365 Customer Insights platform / Dataverse is a plus.
What We Offer
  • Azure Databricks.
  • Azure Data Factory.
  • Cosmos DB.
  • Azure SQL.
  • Consumer Facing Application.