Data Engineering Lead (Databricks + AWS) Dallas, TX Onsite as needed

Job Title: Senior Data Engineer- AWS & Realtime DataBricks Location: Dallas, TX(Must be Onsite on needed basis) Onsite Availability for Interviews any time bet ween 2 to 5 PM CST from Tuesday to Friday Mandatory skills: AWS, Databricks, Python, Spark & Pyspark Key Responsibilities: Experience: 6 to 10 years Realtime experience on databricks is must.Collaborate as part of a development team to design and enhance large scale applications developed using Python, Spark & Pyspark .Realtime experience

Position : Sr Technical Lead Data Bricks Location: Dallas, TX (Must be Onsite on needed basis) Duration : Long Term Contract Mandatory skills: AWS, Databricks, Python, Spark & Pyspark Key Responsibilities: Experience: 6 to 10 years Realtime experience on databricks is must.Collaborate as part of a development team to design and enhance large scale applications developed using Python, Spark & Pyspark .Realtime experience on databricks is must.Evaluates and plans software designs, test results and

Role: AWSDatabricksDeveloper Location: Austin, TX (Hybrid) Required Skills: Databricks, PySpark, Apache Spark, Ab Initio, Teradata, AWS, Healthcare. Candidate Should have 10+ Years of Experience in IT. Must have Healthcare Domain experience. Design and develop scalable ETL/ELT pipelines using Databricks, PySpark, Teradata, and AWS. Build and optimize cloud-native data ingestion, transformation, and data warehouse solutions. Collaborate with business and technical teams to gather requirements a

MUST BE LOCAL TO TX Key Responsibilities Design and implement end-to-end data architecture using Databricks Lakehouse platformDefine data engineering best practices and build scalable ETL/ELT pipelinesArchitect solutions leveraging Apache Spark (PySpark/Scala) and Databricks workflowsImplement Delta Lake for data reliability, performance, and governanceCollaborate with stakeholders to understand business requirements and translate them into technical solutionsOptimize performance, cost, and scal