BACKFILL URGENT NEED | TWK_2883_R Lead Databricks Developer position with State of Texas | Remote in Texas state | Local to Texas state profiles & Databricks Experts only

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9:35 AM (8 hours ago) 9:35 AM

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Share profiles along with Job ID number

S E K H A R @ TEKWINGS. COM

Note: If this email is not relevant to you, sorry for your Inconvenience

Share profiles ASAP TODAY( 12 JAN 2026 ) Before 11 AM CST

Requirement details:
Internal job ID:TWK_2883_R

Lead Databricks Developer || Backfill position

State of Texas

Austin, TX-78751 # Remote

Interview mode: ☒ Through Microsoft Teams

NOTE:

The working position is Remote in Texas state
Interview mode : Team meetings
Position will be 100% Remote within the Texas state
Program will only allow candidates who are LOCAL TO TEXAS State only
Please do not submit candidates who are currently out of state and are planning to move to Texas. Candidates must already reside in Texas.

Total EXP:14+ years Above

Certifications Required:

Databricks Certified Associate Developer for Apache Spark.
Microsoft Certified: Azure Data Engineer Associate.

Skills Required:

Databricks, Apache Spark, Azure DataFactory, Azure DataLake
Python, R, SQL
ETL/ELT development
CI/CD and DevOps tools
Data modeling, data quality,and security
Experience with MLflow, Scikit-learn, or TensorFlow Highly preferred

Job Summary:
The Worker is responsible for developing, maintaining, and optimizing big data solutions using the Databricks Unified Analytics Platform. This role supports the organization’s data engineering, machine learning, and analytics initiatives that rely on large-scale data processing.

Responsibilities:

Design and develop scalable data pipelines and ETL/ELT workflows for structured and unstructured data.
Optimize Apache Spark jobs for performance and cost efficiency.
Integrate Databricks solutions with Azure Data Factory and other Azure services.
Automate deployments using CI/CD pipelines and version control systems.
Design and maintain data models, schemas, and database structures to support analytical and operational workloads.
Evaluate and implement data lake and data warehouse solutions (e.g., Azure Data Lake Storage).
Ensure data quality, governance, and security using Unity Catalog, Delta Lake, and best practices.
Implement data validation, encryption, access controls, and auditing to maintain compliance.
Collaborate with cross-functional teams including data scientists, analysts, and stakeholders.
Troubleshoot, debug, and enhance data processing and integration workflows.

Required Skills & Qualifications:

8+ years of experience in:
- Designing and implementing ETL/ELT workflows for large-scale data.
- Data modeling, governance, validation, and quality assurance.
- Working with Azure Cloud Platform, Azure Data Lake Storage, and Azure Data Factory.
- Python, R, and SQL for data manipulation and analysis.
- DevOps, CI/CD pipelines, and version control systems.
- Implementing data security, encryption, and access controls.
- Agile development in multicultural environments.
- Troubleshooting and debugging complex data workflows.
5+ years of hands-on experience with:
- Apache Spark architecture (RDDs, DataFrames, Spark SQL).
- Databricks notebooks, clusters, jobs, and Delta Lake.
- Performance tuning and integration with Azure services.