Lead Technical Specialist - Military veterans preferred

Description

The Digital Modernization Sector has an opening for a Lead Technical Specialist to work 5 days per week in Woodlawn, MD.

***This position requires onsite work in Woodlawn, MD five days a week.***

RESPONSIBILITIES/TASKS:

• 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 provided by the latter.

• Creates and maintains optimal data pipeline architecture.

• Identifies, designs, and implements internal process improvements: automating manual processes, optimizing data delivery.

• Implements big data and NoSQL solutions by developing scalable data processing platforms to drive high-value insights to the organization.

• Supports development of Data Dictionaries and Data Taxonomy for product solutions.

• Demonstrates strong understanding with coding and programming concepts to build data pipelines (e.g., data transformation, data quality, data integration, etc.).

• Builds data models with Data Architect and develops data pipelines to store data in defined data models and structures.

• Demonstrates strong understanding of data integration techniques and tools (e.g., Extract, Transform, Load (ETL) / Extract, Load, Transform (ELT)) tools and database architecture.

• Demonstrates strong understanding of database storage concepts (data lake, relational databases, NoSQL, Graph, data warehousing).

• 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 including installing and upgrading software and maintaining relevant documentation.

• Monitors database activity and resource usage.

• Performs peer review for another Data Engineer’s work.

• Assists with development, building, monitoring, maintaining, performance tuning, troubleshooting, and capacity estimation.

• Sources data from the operational systems.

• Prepares the database-loadable file(s) for the Data Warehouse.

• Manages deployment of the data acquisition tool(s).

• Monitors and maintains Data Warehouse/ELT.

• Monitors, reports, and resolves data quality.

• 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.

FOUNDATION FOR SUCCESS (Basic Qualifications)

This experience is the foundation a candidate needs to be successful in this position:

• Bachelor’s degree in computer science, IT, or related field/experience

• 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 (preferred), Azure, GCP

• 3 years of experience working with Tableau

• 3 years of experience in T-SQL, SQL, ELT/ETL performance tuning

FACTORS TO HELP YOU SHINE (Required Skills)

These skills will help you succeed in this position:

• Programming experience in Snowflake, Hadoop, or other Data Warehouse technologies; Snowflake preferred.

• Experience in Microsoft SQL Server 2008R2 or newer.

• Experience with SSIS or equivalent ETL tool.

• Experience in SQL/Stored Procedure development.

HOW TO STAND OUT FROM THE CROWD (Desired Skills)

Showcase your knowledge of modern development through the following experience or skills:

• 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 initiative to own specific tasks.

• 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.

Original Posting:

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.