Ageatia Global Solutions
Title: Sr Data Engineer
Duration: 12 Months (Possible to hire)
Location: Reston, VA-20191 (Hybrid)
Type:W2 only
Job Description: Tasks: Candidate will support the implementation of a Data Integration/Data Warehouse for the Data Product Delivery Team Analyze and assess the quality and integrity of the data including Reference Data Develop and implement complex reports/dashboards using MicroStrategy Understand the meaning/business context of data Acquire data from internal or external data sources and maintain mapping documents of the files, databases/data systems. Evaluate risk from statistical information to determine risk to operations or non-compliance. Work closely with data analysts and assisted in creating Mapping Doc. Data profiling experience
Required Qualifications
5-8 Years Experience Must have MicroStrategy development experience Strong SQL and data modelling skills like 3rd normal form and dimensional modelling Demonstrated ability to perform complex queries, assess data quality and develop data mappings. Experience with multiple data warehousing and analytics development projects Bachelor of Science in Mathematics, Engineering, or Computer Science related fields Must have hands on experience with Linux Operating Systems. Must have ability to understand and work with code developed by other BI developers. Must have ability to work independently. Must have extensive experience with Agile or Scrum methodologies. Must have strong experience in continuous integration within DevOps environment. Must have excellent communication skills, both verbal and written (in English). Good to have experience working with API Management Tools. Good to have Experience working with GIT/BitBucket.
Preferred Qualifications
Working knowledge of U.S. Healthcare Industry Working knowledge of HEDIS, Fraud, Waste & Abuse Working knowledge of ETL Experience with Hadoop and Big Data technologies Working knowledge of ALM Working knowledge of COBOL Strong DB2, Java, and UNIX skills Understanding and working (hands-on) knowledge of newer or emerging trends such as Big Data, Columnar databases, NoSQL, Hadoop, MapReduce, social media, data visualization, XML, and unstructured text is a plus.
Job Description: Tasks: Candidate will support the implementation of a Data Integration/Data Warehouse for the Data Product Delivery Team Analyze and assess the quality and integrity of the data including Reference Data Develop and implement complex reports/dashboards using MicroStrategy Understand the meaning/business context of data Acquire data from internal or external data sources and maintain mapping documents of the files, databases/data systems. Evaluate risk from statistical information to determine risk to operations or non-compliance. Work closely with data analysts and assisted in creating Mapping Doc. Data profiling experience
Required Qualifications
5-8 Years Experience Must have MicroStrategy development experience Strong SQL and data modelling skills like 3rd normal form and dimensional modelling Demonstrated ability to perform complex queries, assess data quality and develop data mappings. Experience with multiple data warehousing and analytics development projects Bachelor of Science in Mathematics, Engineering, or Computer Science related fields Must have hands on experience with Linux Operating Systems. Must have ability to understand and work with code developed by other BI developers. Must have ability to work independently. Must have extensive experience with Agile or Scrum methodologies. Must have strong experience in continuous integration within DevOps environment. Must have excellent communication skills, both verbal and written (in English). Good to have experience working with API Management Tools. Good to have Experience working with GIT/BitBucket.
Preferred Qualifications
Working knowledge of U.S. Healthcare Industry Working knowledge of HEDIS, Fraud, Waste & Abuse Working knowledge of ETL Experience with Hadoop and Big Data technologies Working knowledge of ALM Working knowledge of COBOL Strong DB2, Java, and UNIX skills Understanding and working (hands-on) knowledge of newer or emerging trends such as Big Data, Columnar databases, NoSQL, Hadoop, MapReduce, social media, data visualization, XML, and unstructured text is a plus.