AWS Lead Data Engineer

Description

Senior Business Intelligence Analyst with experience building solutions to support Data Reporting to meet those business requirements. The Sr. Business Intelligence Analyst, will work with key stakeholders and internal customers to support existing solutions, build new solutions while providing technical guidance, system development best practices, and operational support. This includes gathering, data modeling, report creation and automation, end user education, and training. The Sr. Business Intelligence Analysts will work with business directly to gather the requirements/concerns and come up with innovative ideas for the implementation.

Responsibilities

• Must have 12 Years of Experience in that 5+ years hands-on Business Intelligence experience with an emphasis on analytical and/or reporting tools.
• 3+ years hands-on Experience working on AWS Glue, SPARK-SQL, Python and Redshift.
• 2+ years designing and implementing highly performant data ingestion pipelines from multiple sources using Apache Spark and AWS Databricks.
• Advanced / Statistical Analytics experience
• 2-3 years of work in BI tools like Tableau, SSIS, SSRS, ETL
• Develop, implement, and support AWS data lake technology. Experience with SPARK.
• Strong proficiency with AWS technologies like S3, EC2, CloudWatch, Lambda, Redshift, DMS, and RDS.
• Preferable experience with data bricks integrated with AWS cloud. Having experience with data bricks cluster configuration.
• Preferable knowledge of Tableau system and hands-on experience.
• Experience in writing Webhook/APIs to pull and push the data, is extra advantage