More jobs:
Data Engineer
Job in
Fort Worth, Tarrant County, Texas, 76102, USA
Listed on 2026-02-16
Listing for:
TechDigital Group
Full Time
position Listed on 2026-02-16
Job specializations:
-
IT/Tech
Data Engineer, Big Data
Job Description & How to Apply Below
Job Summary
- 5+ years' experience in SQL (Expert)
- 4+ years of experience in Azure Databricks with Py Spark
- 4+ years of experience in Azure Cloud platform
- 3+ years of experience in ADF (Azure Data Factory), ADLS Gen 2 and Azure SQL
- 2+ years of experience in Databricks workflow & Unity catalog
- 2+ years of experience in Python programming & package builds
- Experience in data ingestion, cleansing, and transformation processes from various structured and unstructured data sources like Cassandra & Mark Logic and on-prem Mainframe sources using Databricks/PySpark supporting batch and near-real-time ingestion, transformation, and processing.
- Manage job scheduling, orchestration, and monitoring (e.g., using Azure Data Factory, Airflow, or Databricks Workflows).
- Ability to design modular, reusable workflows using tasks, triggers, and dependencies.
- Skilled in using dynamic expressions, parameterized pipelines, custom activities, and triggers.
- Familiarity with integration runtime configurations, pipeline performance tuning, and error handling strategies.
- Strong understanding of ETL/ELT design patterns, data warehousing, and data lakehouse architectures.
- Good to have Azure Entra/AD skills and Git Hub Actions
- Good to have experience working on event-driven architectures using Kafka, Azure Event Hub
- Design develop and optimize scalable data pipelines leveraging Databricks (Spark, PySpark, SQL, Delta Lake) to support enterprise level data processing and analytics
- Write clean maintainable and efficient PySpark and Python code to support data ingestion transformation
- Integrate Azure Databricks with various Azure data services to build robust and scalable data platforms
- Implement and maintain ETL workflows for scalability cost effective and operational efficiency
- Collaborate with data analysts and stakeholders to gather requirements and deliver scalable data solutions
- Participate actively in design discussions code reviews and agile ceremonies to foster a collaborative and high performing team environment.
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