Solutions Architect

2 weeks ago


Middletown, United States Insight Global Full time

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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