DATA ENGINEER

Full Time

Job Description: Professional Training - SQL Development, SAS EG, SAS DI, Object-orientated Programming (e.g. C#, Java)

At Least 3 Years Experience:

• Experience in .....

At Least 3 Years Experience:

• Experience in developing within a database and specifically Microsoft SQL Server and/or Oracle?
• SAS Management Console
• SAS DI, SAS Enterprise Guide
• Base SAS
• SAS Web Report Studio, SAS Delivery Portal, SAS OLAP Cube Studio,
• SAS Information Maps, SAS BI
• SAS Stored Process, SAS Datasets & Library
• Experience to configure/install applications in the servers(windows/Linux/Unix) and basic knowledge of DNS, Ports, and Firewalls (3+ years)
• Hands-on experience managing and further developing distributed systems and clusters for both batch as well as streaming data (Hadoop/Spark and/or Kafka/Flink)
• Experience in handling semi-structured data sets(eg. JSON,XML) (3+ years)
• Programming experience in C# or Java (3+ years)
• Expertise in writing advanced SQL Query, Stored Procedures and functions
• Experince with ETL Tools SAS platform Tools like SAS DI / SAS Enterprise Guide and Microsoft SQL Server
• Sound understanding of Financial Reporting(Balance Sheet/Profit and Loss) and Risk Reporting

Job Responsibilities

• Consolidate and analyze financial data (budgets, income statement forecasts ,Balance Sheet, Profit and Loss) taking into account company’s goals and financial standing
• Build Stored procedure and ETL Jobs to Reconcile transactions by comparing and correcting data
• Contribute to data warehouse design and components, relational database management systems, and database design solutions
• Develop SQL Server T-SQL procedures/functions for batch processing as well as reports, in line with user requirements.
• Build SAS EG,SAS DI jobs
• Research and resolve discrepancies in financial data ,Manage the month-end close process.

Competencies

• Solving Complex Problems
• Testing and Troubleshooting

Skills

• Regulatory Compliance
• Financial Reporting
• ETL/ETT/ETM Tools and Process
• Risk Management
• Data Warehouses
• Data Marts
• Balance Sheet,Profit & Loss,Market Risk
• Data Modeling

Technology Tools Required SAS, SAS BI, MS SQL Server, T-SQL in data warehousing/batch