Managers (Data Engineering)
We'd Love to See:Job Description
Managers (Data Engineering) for White Plains, NY location. Manage projects involving data engineering, loading, validating, and processing client data, and producing business intelligence reporting on client data, including for payment industry and to support customer analytics. Use cloud technologies to analyze customer’s data. Help manage project teams and perform AWS Migration, developing and supporting new implementations on cloud, and assist teams on troubleshooting processes. Process and validate datasets across Deposit Account Payment Studies (DAPS) and other studies including for credit and debit card operations. Ingest client data and convert to insightful analytics, reports. Optimize SQL queries using SQL assistance and data analysis on the SQL Server platform. Develop and improve new and existing products, processes, and methodologies. Support external and internal clients and help manage and mentor the team. Present technical data to non-technical audiences. Manage staff. Technical environment: Cloud Technologies (AWS, S3, Postgres, redshift, Dynamo DB, EC2, Data Lake formation, AWS Glue, Step Functions, ECS, ECR, Lambda, Fargate, EMR, Cloud formation); SQL Server, SQL server Reporting Services (SSRS), SQL Server Integration Services (SSIS), VBA; Visual Basic .Net , ASP, .NET, Python; SQL, Oracle; EMR, Hadoop, Hive, Spark and other big data technologies; cloud architecture, big data analytics (Kinesis, Athena).
Bachelor’s degree in Computer Engineering or any Engineering field or Information Systems or related field plus 3 years of experience in the job offered or in business intelligence/analytics required. Required skills: experience in ingestion of client data & converting to insightful analytics, reports; optimize SQL queries using SQL assistance and data analysis on the SQL Server platform; Cloud Technologies (AWS, S3, Postgres, redshift, Dynamo DB, EC2, Data Lake formation, AWS Glue, Step Functions, ECS, ECR, Lambda, Fargate, EMR, Cloud formation); SQL, Oracle; Python; VBA; EMR, Hadoop, Hive, Spark; experience & understanding of analytics in payment industry to support customer analytics; presenting technical data to nontechnical audiences; at least 3 years experience with credit and debit card operations. Some telecommuting permitted. $183,414/yr-$183,414/yr.