Strong exp w/database designarchitect/development Big data / RDBMSGreenplumPostgreSQLSQL ServerDb2OraclePythonRSASPostgreSQLSQLPL/SQLAnsibleT-SQLUNIXLinux Shell ScriptSASPythonRJavaScriptSSRS/SSISJSONTableau
Work Authorization
US Citizen
Green Card
EAD (OPT/CPT/GC/H4)
H1B Work Permit
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
Contract to Hire
Employment Type
Consulting/Contract
education qualification
UG :- - Not Required
PG :- - Not Required
Other Information
No of position :- ( 1 )
Post :- 4th Oct 2025
JOB DETAIL
10+ years of experience in data architecture, database design, data analysis, and data engineering.
Experience in designing and managing enterprise data warehouse environments, especially on Greenplum, PostgreSQL, and SQL Server.
Hands-on experience with cloud environments, particularly AWS.
Advanced skills with Greenplum, PostgreSQL, and SQL Server.
Proficient in designing data pipelines and ETL processes.
Strong experience with performance tuning and optimizing databases for large datasets.
Proficiency in Python and R for data manipulation, statistical analysis, and machine learning tasks.
Expertise in Linux and shell scripting for automation and task scheduling.
Familiarity with SAS Viya for advanced analytics and reporting.
Skilled in using Bitbucket and Git for code versioning and collaboration.
Experience with Visual Studio for development and Jupyter for interactive data analysis and visualization.
Strong expertise in PostgreSQL and Greenplum database architecture, administration, and optimization.
Proficiency in SQL and advanced query optimization techniques for PostgreSQL, Greenplum, SQL server , db2 and Oracle.
Experience with data modeling (conceptual, logical, and physical models) to support high-performance data structures.
Hands-on experience in designing data pipelines and ETL (Extract, Transform, Load) processes.
Familiarity with ETL tools and frameworks to facilitate data integration from diverse sources.
Proficiency in designing data warehouse schemas, including star, snowflake, and hybrid schemas.
Strong programming skills in Python for data manipulation, scripting, and automation.
Familiarity with data science libraries in Python (e.g., Pandas, Sqlalchemy) for data processing and transformation.
Knowledge of API integration using Python for data ingestion.
Familiarity with data partitioning and parallel processing concepts to enhance performance on large datasets.
Strong experience with AWS services (EC2, S3, RDS, Redshift, etc.).
Experience deploying and managing infrastructure on AWS and handling data security and governance on cloud platforms.
Excellent communication skills for technical and non-technical audiences.
Ability to translate business requirements into technical solutions.
Strong documentation and presentation skills to effectively communicate data architecture strategies.
Use MS Project, Visio and IT Governance Frameworks to document the solution architecture & develop design documents and user guides.
Attend all customer technical discussions/design/development meetings and provide technical inputs to further enhance the code quality/process.
Impact functional strategy by developing new solutions, processes, standards, or operational plans that position Leidos competitively in the marketplace.
Provide guidance/support to other junior/mid-level developers.