Data Engineer

Title: Data Engineer
Duration: 11 months
Location: Phoenix, AZ 85027- Hybrid

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 (Client internal GCP Platform) and utilize the suite of google services

Looking for 5-7+ years of experience

Job Description:

• s 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.