Senior Azure Databricks developer
Job in
Alpharetta, Fulton County, Georgia, 30239, USA
Listing for:
TechDigital Group
Full Time
position
Listed on 2026-01-03
Job specializations:
-
Software Development
Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly
USD
80000.00
100000.00
YEAR
Job Description & How to Apply Below
Experience:
7+ years
As a Data Engineer, you will work with multiple teams to deliver solutions on the Azure Cloud using core cloud data warehouse tools (Azure Databricks, SQL Server, and other Big Data related technologies). In addition to building the next generation of application data platforms (not infrastructure) and/or improving recent implementations. Must be able to analyze data and develop strategies for populating data lakes (Databricks / Delta Lake).
This person may be called upon to do complex coding using T-SQL, Scala, or Python, using PySpark.
Responsibilities:
Work as part of a team to develop Cloud Data and Analytics solutions.Participate in the development of cloud data warehouses, data as a service, business intelligence solutions.Ability to provide solutions that are forward-thinking in data and analytics.Deliver a quality product, coding complex U-SQL, Spark (Scala or Python), T-SQL.Develop Modern Data Warehouse solutions using Azure Stack (Azure Data Lake, Azure Data Factory, Azure Databricks).Skills/
Qualifications:At least 3-5 years of experience designing and delivering data engineering solutions with Databricks.Hands-on experience in Azure Databricks.Mandatory experience as Data Engineer in Azure Big Data Environment.Expertise in ETL tools (Informatica, Talend, SSIS, Data Stage).Expertise in implementing Data Warehousing Solutions.Experience working in an Agile (KANBAN, Scrumban) environment as part of a scrum team.Programming experience in Scala or Python, T-SQL.Hands-on experience in Azure stack (Azure Data Lake, Azure Data Factory).Pls share profiles for the mentioned onsite demands:
Skills
Ratings Out of 5 # of years used
Candidate writeup (must be detailed filled by applicant)
Exp designing and delivering data engineering solutions with Databricks
Exp in Azure Databricks
Experience in Data Engineer in Azure Big Data Environment
Expertise in ETL tools (Informatica, Talend, SSIS, Data Stage)
Expertise in Implementing Data Warehousing Solutions
Exp with working in Agile (KANBAN, Scrumban) environment
Exp in Azure stack (Azure Data Lake, Azure Data Factory)
Exp in Scala or Python, T-SQL
#J-18808-Ljbffr
Position Requirements
10+ Years
work experience
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