Design and develop data Integrations to deliver Enterprise BI Data Marts and BI Semantic Data layer(s).
Manage multiple projects within the team and support others within the DAS organization.
Improve data processes, technology infrastructure and reporting/analytical services.

Bachelor’s degree and 5 years experience or 9 years' equivalent experience with data integration platforms
Strong technical experience in Business Intelligence Architecture and technologies.
Experience working with a data architecture team to develop/manage a universal semantic model
Ability to work with business stakeholders to design, develop data products solution to enable insights.
Experience working with Hadoop tech stack like HDFS, Hive,Spark, Pyspark/python, Sqoop.
Experience working with MPP platforms like Teradata BTEQ, SQL, T-SQL etc
Experience working with Azure , ADLS, ADF, Azure SQL etc.
Knowledge of DevOps / continuous deployment / integration process and tools.
Knowledge of working with Enterprise grade scheduling tools like control M etc
Strong analytical skills Written, communications and presentation skills, ability to source interpret and present analytics in a thoughtful and meaningful manner
Proactive self-starter, quick-learner, flexible team-player, ability to work both independently and as part of a team
Ability to multi-task, maintain strong attention to detail, and prioritize work within tight deadlines.

Senior Analytics Engineer

Key skills