We provide Recruitment and Staffing services to many industries and domain through our innovative and customized solutions and passionate commitment to research. Ability to understand the hiring strategies, availability of talent and compensation benchmarking makes us proud hiring partner for various industries. We work as trusted business partners and always strive to deliver the most value and highest return on investment for our clients. We are highly trained business professionals with strong understanding of clients need. We work closely with the leading staffing trade associations, training, and research organizations to ensure we are knowledgeable of thustry trends and technologies.

Required Skills
13+ years of experience in Data Engineering/Data Architecture.
Strong hands-on experience with Databricks and the Lakehouse architecture.
Expertise in Apache Spark (PySpark/Scala).
Experience with Azure Databricks, AWS Databricks, or GCP Databricks.
Strong SQL and data modeling skills.
Experience designing and implementing ETL/ELT pipelines.
Knowledge of Delta Lake, Unity Catalog, and performance optimization.
Experience with cloud storage solutions (ADLS, S3, or GCS).
Familiarity with CI/CD, Git, and DevOps practices.
Excellent communication and stakeholder management skills.
Preferred Skills
Experience with streaming data (Kafka, Structured Streaming).
Knowledge of orchestration tools such as Airflow or Azure Data Factory.
Databricks or Cloud certifications are a plus.
Responsibilities:
Design and architect scalable Databricks data solutions.
Develop high-performance data pipelines using Spark and Databricks.
Optimize data processing, storage, and query performance.
Collaborate with business and technical teams to define data architecture.
Implement data governance, security, and best practices.
Mentor engineering teams and provide technical leadership.

Regards,

Mohammed ilyas,

PH - 229-264-4024 or Text - 229-469-1455 or you can share the updated resume at Mohammed@vtekis. com

All your information will be kept confidential according to EEO guidelines.