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AWS Data Engineer Lead

3 months ago

Watsonville, United States ITC Infotech Full time

Greetings from ITC Infotech


Position – AWS Data engineer Lead

Location – Watsonville, CA


Job 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.


• Bachelor's degree in Information Technology, Business Analytics, or related field

• 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 a plus

• 2-3 years of work in BI tools like Tableau, SSIS, SSRS, ETL

• Develop, implement, and support AWS data lake technology. Experience with SPARK will be extra advantage.

• Strong proficiency in writing AWS Glue Jobs, SPARK-SQL, and Python.

• 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 is extra advantage.

• Preferable knowledge of Tableau system and hands-on experience is advantage.

• Experience in writing Webhook/APIs to pull and push the data, is extra advantage.


Job Requirements:


• Good understanding and hands-on experience on AWS Cloud technologies like S3, Lambda, Glue, Athena, RDS, Redshift etc.

• Expert level experience managing and developing SSIS, SSRS and any other ETL tools.

• Experience in working with AWS RDS SQL and MySQL-Aurora.

• Experience in writing complex queries in SQL Server, MySQL.

• Databricks experience with AWS

• Solid understanding and experience of AWS data lake architecture.

• Solid understanding and experience of Database and BI programming

• Experience writing complex queries, understanding execution plan of the queries.

• Experience writing AWS Glue jobs, SPARK-SQL, Lambda and Python.

• Experience with relational database concepts, SQL queries, NoSQL

• Experience and understanding of DynamoDB AWS.