Database Engineer - SQL & Oracle PL/SQL

Capgemini•Irving, TX

1d•$103,330 - $128,656•Hybrid

About The Position

We are seeking a highly skilled Database Engineer with strong expertise in SQL, Oracle PL/SQL, and data integration to support enterprise data solutions. This role combines data analysis, database development, and cloud-based data engineering, requiring hands-on experience with large datasets, data pipelines, and modern cloud platforms such as AWS and Snowflake. You will collaborate closely with business stakeholders and technical teams to design, analyze, and deliver scalable, high-quality data solutions that drive business insights.

Requirements

Strong proficiency in SQL and Oracle PL/SQL
Hands-on experience with data ingestion, data integration, and ETL processes
Experience in database analysis, data profiling, and large dataset handling
Solid understanding of data modeling (logical, conceptual, physical)
Experience with cloud platforms (AWS, Snowflake)
Working knowledge of Python for scripting and automation
Exposure to Kafka or streaming data pipelines (preferred)
Familiarity with distributed databases (e.g., YugabyteDB) and data replication concepts
Strong analytical and problem-solving skills
Ability to work independently and manage priorities effectively
Strong communication and presentation skills

Nice To Haves

Experience with query optimization, indexing, and performance tuning
Familiarity with CI/CD tools (e.g., Jenkins) and data pipeline automation
Experience working in Agile environments (Scrum/Kanban, Jira, Bitbucket)
Exposure to multi-cloud or modern data platforms

Responsibilities

Develop, optimize, and maintain complex SQL and PL/SQL queries, stored procedures, scripts, SQS and SNS
Perform data analysis, data profiling, and data quality validation on large datasets
Design and implement data ingestion and integration pipelines across systems
Work with conceptual, logical, and physical data models to support database design
Support ETL processes, transformation logic, and performance tuning
Build and maintain cloud-based data solutions using AWS (S3, EC2, Lambda) and Snowflake
Work with data pipelines and streaming solutions (e.g., Kafka - working knowledge)
Support data replication and synchronization strategies across platforms
Conduct data exploration and impact analysis to support business decisions
Collaborate with stakeholders to translate business requirements into data solutions
Review system architecture and identify gaps, dependencies, and optimization opportunities
Prepare and present data insights and technical solutions to business and technical audiences
Work independently and manage deliverables in an Agile environment

Benefits

Flexible work
Healthcare including dental, vision, mental health, and well-being programs
Financial well-being programs such as 401(k) and Employee Share Ownership Plan
Paid time off and paid holidays
Paid parental leave
Family building benefits like adoption assistance, surrogacy, and cryopreservation
Social well-being benefits like subsidized back-up child/elder care and tutoring
Mentoring, coaching and learning programs
Employee Resource Groups
Disaster Relief