Webtellect, LLC
Webtellect is an established software consulting firm. We are equivalent to the finest "custom home builders" as it applies to software. We build software for those companies who have funding but not the resources or for those companies who have the resources but not bandwidth. We analyze, design, develop, test, deploy, maintain, and learn from our engagements to improve for the next. We all share a passion and joy for software excellence. As such, Webtellect consultants are highly coveted.
Job Description
We are seeking a skilled professional to design, develop, and enhance our AWS data environment. Qualifications
Experience setting up AWS Data Platform – AWS CloudFormation, Development EndPoints, AWS Glue, EMR, Jupyter/Sagemaker Notebooks, Redshift, S3, and EC2 instances. Track record of successfully building scalable Data Lake solutions that connect to distributed data storage using multiple data connectors. Background in data engineering; Data Warehouse Development experience is a plus. Strong skills in SQL, Python, PySpark, and AWS. Experience in designing, developing, optimizing, and troubleshooting complex Data Pipelines using Spark clusters. Ability to lead proofs-of-concept and transition those concepts into scalable production through engineering, deployment, and commercialization. Serve as an expert; envision and integrate emerging data technologies, anticipate trends to solve complex business and technical problems.
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We are seeking a skilled professional to design, develop, and enhance our AWS data environment. Qualifications
Experience setting up AWS Data Platform – AWS CloudFormation, Development EndPoints, AWS Glue, EMR, Jupyter/Sagemaker Notebooks, Redshift, S3, and EC2 instances. Track record of successfully building scalable Data Lake solutions that connect to distributed data storage using multiple data connectors. Background in data engineering; Data Warehouse Development experience is a plus. Strong skills in SQL, Python, PySpark, and AWS. Experience in designing, developing, optimizing, and troubleshooting complex Data Pipelines using Spark clusters. Ability to lead proofs-of-concept and transition those concepts into scalable production through engineering, deployment, and commercialization. Serve as an expert; envision and integrate emerging data technologies, anticipate trends to solve complex business and technical problems.
#J-18808-Ljbffr