Data Engineer - SQL, Oracle, PL/SQL, Informatica, ETL, Powercenter

Job Location - Westlake TX (Day One Onsite - Hybrid) About The Role 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. Key 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 Required Skills & Qualifications 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 Have 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 Life At Capgemini Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: 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 Disclaimer Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Click the following link for more information on your rights as an Applicant Transparency The primary focus is to help organizations design, develop, and optimize their data infrastructure and systems. They help organizations enhance data processes, and leverage data effe Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $103330 to $128656 /yearly. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law. ctively to drive business outcomes.The primary focus is to help organizations design, develop, and optimize their data infrastructure and systems. They help organizations enhance data processes, and leverage data effe Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $103330 to $128656 /yearly. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law. ctively to drive business outcomes.For this role, the gross annual base salary range is $103330 to $128656 for a full-time position. This range covers base pay only; we will discuss any bonuses, incentives, and benefits during the hiring process. Your exact offer will depend on objective, job-related factors – like your experience, skills, and qualifications – in line with our fair pay principles. If a collective labour agreement applies to this role, we will share the relevant pay scale details with you. Note: We never ask about your current or past salary during our recruitment process.