Data Engineer

Manager Notes: - Hybrid role, this person will need to start on site, 2-3 days/week in the Phoenix, AZ location - Strong preference for local Arizona candidates - Candidates need specific engineering experience within GCP (google cloud), must do design work - Python, Pyspark and Big Query, this person must have experience with 2 of those 3. - The team will work within Lumi (AMEX internal GCP Platform) and utilize the suite of google services - Looking for 5-7+ years of experience Job Description: As a Data Engineer, you will be responsible for designing, developing, and maintaining robust and scalable framework/services/application/pipelines for processing huge volume of data. You will work closely with cross-functional teams to deliver high-quality software solutions that meet our organizational needs. Key Responsibilities: Design and develop solutions using Bigdata tools and technologies like MapReduce, Hive, Spark etc. Extensive hands-on experience in object-oriented programming using Python, PySpark APIs etc. Experience in building data pipelines for huge volume of data. Experience in designing, implementing, and managing various ETL job execution flows. Experience in implementing and maintaining Data Ingestion process. Hands on experience in writing basic to advance level of optimized queries using HQL, SQL & Spark. Hands on experience in designing, implementing, and maintaining Data Transformation jobs using most efficient tools/technologies. Ensure the performance, quality, and responsiveness of solutions. Participate in code reviews to maintain code quality. Should be able to write shell scripts. Utilize Git for source version control. Set up and maintain CI/CD pipelines. Troubleshoot, debug, and upgrade existing application & ETL job chains. Required Skills and Qualifications: Bachelor's degree in Computer Science Engineering, or a related field. Proven experience as Data Engineer or similar role. Strong proficiency in Object Oriented programming using Python. Experience with ETL jobs design principles. Solid understanding of HQL, SQL and data modelling. Knowledge on Unix/Linux and Shell scripting principles. Familiarity with Git and version control systems. Experience with Jenkins and CI/CD pipelines. Knowledge of software development best practices and design patterns. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Experience with cloud platforms such as Google Cloud. Required Skills : - Hybrid role, this person will need to start on site, 2-3 days/week - Strong preference for local candidates - Good communication is ideal - Candidates need specific engineering experience within GCP (google cloud), must do design work - Python, Pyspark and Big Query, this person must have experience with 2 of those 3. - The team will work within Lumi (AMEX internal GCP Platform) and utilize the suite of google services - Looking for 5-7+ years of experience Basic Qualification : Additional Skills : Background Check : Yes Drug Screen : Yes Notes : Selling points for candidate : Project Verification Info :"The information provided below is for Apex Systems AV use only and is not to be distributed publicly, or to any third party. Any distribution of the below information will result in corrective action from Apex Systems Vendor Management. MSA: Blanket Approval Received Client Letter: Will Not Provide" Candidate must be your W2 Employee :No Exclusive to Apex :No Face to face interview required :No Candidate must be local :No Candidate must be authorized to work without sponsorship ::No Interview times set : :No Type of project : Master Job Title : Branch Code :

Created: 2026-03-04