Solutions Architect
2 weeks ago
WILL SIT REMOTE - PREFERENCE FOR CANDIDATES LOCAL TO MIDDLETOWN, PA
Pay Rate: $70-$80HR W2 ONLY
You Must Have:
• 5+ Years of Experience operating on AWS Cloud with building Data Lake and data warehousing architectures.
• 5+ Years of Experience building Data Warehouses on Snowflake, Redshift, HANA, Teradata, Exasol etc.
• 3+ Years of Experience with AWS Data services like S3, Glue, Lake Formation, EMR, Kinesis, RDS, DMS and others
• 3+ Years of Experience with Data Modelling experience
• 3+ Years of working knowledge in Spark or equivalent big data technologies.
• 3+ Years of Experience in building Delta Lakes using technologies like Databricks.
• 3+ Years of working experience in ETL tools like Talend, Informatica, SAP Data Services etc.
• 3+ Years of Experience in any programming language (Python, R, Scala, Java)
• 3+ Years of Experience working with ERP systems like SAP focusing on data integration.
• Bachelor’s degree in computer science, information technology, data science, data analytics or related field
• Experience working on Agile projects and Agile methodology in general.
• Excellent problem solving, communications, and teamwork skills.
• Exceptional presentation, visualization, and analysis skills
Primary Responsibilities
• Define and align on strategic initiatives pertaining to Data and Analytics Architecture
• Design and develop data lakes, manage data flows that integrate information from various sources into a common data lake platform through an ETL Tool and support near real time use cases as well.
• Design repeatable and reusable solution architectures and data ingestion pipelines for bringing in data from ERP source systems like SAP.
• Manage data integration with tools like Databricks and Snowflake or equivalent data lake and data warehouses.
• Design and Develop Data warehouses for Scale.
• Design and Evaluate Data Models (Star, Snowflake and Flattened)
• Design data access patterns for OLTP and OLAP based transactions.
• Triage, debug and fix technical issues related to Data Lakes and Data Warehouses
• Serve and Share data through modern data warehousing tools and practices.
• Coordinate with Business and Technical teams through all the phases in the software development life cycle.
• Participate in making major technical and architectural decisions.
• Hands-on prototyping of new technology solutions by working with cross teams
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