AWS Databricks Consultant

Introduction:

We are looking for an experienced AWS Databricks Consultant to join our team in Dallas, TX. The ideal candidate will collaborate as part of a development team to design and enhance large scale applications using Python, Spark, and Pyspark. Real-time experience on Databricks is a must for this role. If you have a strong background in data analysis, data mapping, and data integration using AWS technologies, we want to hear from you.

Responsibilities:

• Evaluate and plan software designs, test results, and technical manuals using AWS.
• Confer with business units and development staff to understand both business and technical requirements for producing technical solutions.
• Create and review technical and user-focused documentation for data solutions.
• Extend and enhance the business Data Lake.
• Create or implement solutions for metadata management.
• Design and execute strategies for real-time data analysis and decision-making.
• Build robust data processing pipelines using AWS Services and integrate with multiple data sources.
• Translate client user requirements into data flows and data mapping.
• Analyze and determine data integration needs following Agile practices.

Requirements:

Required Skills:

• 4+ years of experience designing and developing Data Pipelines for Data Ingestion or Transformation using Scala or Python.
• 4 years of experience with Python, Spark, and Pyspark.
• 3 years of experience working on AWS technologies.
• Experience designing, building, and deploying production-level data pipelines using tools from AWS Glue, Lambda, Kinesis, Aurora, and Redshift.
• Experience with Spark programming (Pyspark or Scala).
• Hands-on experience with AWS components like EMR, S3, Redshift, Lambda, API Gateway, and Kinesis in production environments.
• Strong analytical skills and advanced SQL knowledge, indexing, query optimization techniques.
• Experience using ETL tools for data ingestion.
• Experience with Change Data Capture (CDC) technologies and relational databases such as MS SQL, Oracle, and DB.
• Ability to translate data needs into detailed functional and technical designs for development, testing, and implementation.