- Worked with advanced technical principles, theories, and concepts
- Well versed in technical products
- Able to work on complex technical problems and provide innovative solutions
- Can work with highly experienced and technical resources
- Demonstrates ability to communicate technical concepts to non-technical audiences both in written and verbal form
- Assembles large, complex data sets to meet business requirements
- Works in tandem with Data Architects to align on data architecture requirements
- Creates and maintains optimal data pipeline architecture
- Identifies, designs, and implements internal process improvements
- Implements big data and NoSQL solutions by developing scalable data processing platforms
- Supports development of Data Dictionaries and Data Taxonomy for product solutions
- Demonstrates understanding of coding and programming concepts to build data pipelines
- Builds data models with Data Architect and develops data pipelines
- Demonstrates understanding of data integration techniques and tools
- Identifies ways to improve data reliability, efficiency, and quality of data management
- Conducts ad-hoc data retrieval for business reports and dashboards
- Assesses the integrity of data from multiple sources
- Manages database configuration and monitoring
- Performs peer review for another Data Engineer's work
- Sources data from the operational systems and prepares it for the Data Warehouse
- Monitors and maintains Data Warehouse/ELT
- Works closely with all involved parties to ensure system stability and longevity
- Supports and maintains Business Intelligence functionality
- Evaluates, understands, and implements patches to the Data Warehouse environment
- Loads best practices and designs multidimensional schemas
- Provides technical inputs to enhance processes
- Provides guidance to junior/mid-level developers
- Impacts functional strategy by developing new solutions, processes, standards, or operational plans
- All other duties as assigned or directed
- Selected candidate must reside within two (2) hours of SSA Headquarters Woodlawn, MD
- Bachelor's degree in computer science, IT, or related field/experience
- Must be able to obtain and maintain a Public Trust
- 7 years of experience with Data Engineering, working with large-scale data processing and ETL pipelines
- 5 years of hands-on experience with data modeling, architecture, and management
- 5 years of experience with Relational Database Systems, Data Design, RDBMS Concepts, ETL
- 5 years of experience working with data in cloud environments such as AWS, Azure, GCP
- 3 years of experience in T-SQL, SQL, ELT/ETL performance tuning
- Programming experience in Snowflake, Hadoop, or other Data Warehouse technologies
- Experience in Microsoft SQL Server 2008R2 or newer
- Experience with SSIS or equivalent ETL tool
- Experience in SQL/Stored Procedure development
- Understanding of semi-structured/unstructured data using JSON, AVRO, Parquet, CSV, etc.
- Experience with complex multi-server environments and high availability environments
- Experience using Azure Data Factory, Five Tran, Spark or other similar data integration tools
- Experience with system monitoring, log management, and error notification
- Fundamental network and IT infrastructure knowledge
- Highly motivated; able to work independently, multi-task, respond to changing priorities, and take initiative
- Strong problem determination, troubleshooting, and resolution skills
- Excellent written and oral communication skills & customer service skills
- Ability to work analytically to solve both tactical and strategic problems
- Bachelor's degree in computer science, IT, or related field and 7+ years of experience
- Must be able to obtain and maintain a Public Trust
-
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Data Integration Specialist - Woodlawn, United States - KOAR Cloud Solutions
1 week ago
Description
Data Integration Specialist
Position: Data Integration Specialist at Leidos
Key Skills Required:
Position Description:
Skills Requirements:
Foundation for Success (Basic Qualifications):
Factors to Help You Shine (Required Skills):
How to Stand Out from the Crowd (Desired Skills):
Education:
