Required Skills

Strong exp w/database design architect/development Big data / RDBMS Greenplum PostgreSQL SQL Server Db2 Oracle Python R SAS PostgreSQL SQL PL/SQL Ansible T-SQL UNIX Linux Shell Script SAS Python R JavaScript SSRS/SSIS JSON Tableau

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 :- 3rd 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.

• All other duties as assigned or directed.

Company Information