GCP Data Engineer
Full Time • Phoenix, Arizona
Nature: Day One On-site
Duration: 24 Months
Candidates Required: 04
Experience: 5 to 8 Years
Following is the Job description for the role of a Data Engineer,
Mandatory Skill Set: Apache Spark, Hive, Hadoop, BigQuery, BigTable, Cloud Composure, Dataflow, Google Cloud Storage, Python, SQL, Shell Scripting, Git.
Good to have Skill Set: CI/CD, Jenkins, Security and Networking, Scala, GCP Identity and Access Management (IAM).
Responsibilities:
1. Data Processing: Design, develop, and maintain scalable and efficient data processing pipelines using technologies such as Apache Spark, Hive, and Hadoop.
2. Programming Languages: Proficient in Python, Scala, SQL, and Shell Scripting for data processing, transformation, and automation.
3. Cloud Platform Expertise: Hands-on experience with Google Cloud Platform (GCP) services, including but not limited to BigQuery, BigTable, Cloud Composer, Dataflow, Google Cloud Storage, and Identity and Access Management (IAM).
4. Version Control and CI/CD: Implement and maintain version control using Git and establish continuous integration/continuous deployment (CI/CD) pipelines for data processing workflows.
5. Jenkins Integration: Experience with Jenkins for automating the building, testing, and deployment of data pipelines.
6. Data Modeling: Work on data modeling and database design to ensure optimal storage and retrieval of data.
7. Performance Optimization: Identify and implement performance optimization techniques for large-scale data processing.
8. Collaboration: Collaborate with cross-functional teams, including data scientists, analysts, and other engineers, to understand data requirements and deliver solutions.
9. Security and Networking: Possess basic knowledge of GCP Networking and GCP IAM to ensure secure and compliant data processing.
10. Documentation: Create and maintain comprehensive documentation for data engineering processes, workflows, and infrastructure.
Qualifications:
1. Proven experience with Apache Spark, Hive, and Hadoop.
2. Strong programming skills in Python, Scala, SQL, and Shell Scripting.
3. Hands-on experience with GCP services, including BigQuery, BigTable, Cloud Composer, Dataflow, Google Cloud Storage, and Identity and Access Management (IAM)
4. Familiarity with version control using Git and experience in implementing CI/CD pipelines.
5. Experience with Jenkins for automating data pipeline processes.
6. Basic understanding of GCP Networking.
7. Excellent problem-solving and analytical skills.
8. Strong communication and collaboration skills.
Duration: 24 Months
Candidates Required: 04
Experience: 5 to 8 Years
Following is the Job description for the role of a Data Engineer,
Mandatory Skill Set: Apache Spark, Hive, Hadoop, BigQuery, BigTable, Cloud Composure, Dataflow, Google Cloud Storage, Python, SQL, Shell Scripting, Git.
Good to have Skill Set: CI/CD, Jenkins, Security and Networking, Scala, GCP Identity and Access Management (IAM).
Responsibilities:
1. Data Processing: Design, develop, and maintain scalable and efficient data processing pipelines using technologies such as Apache Spark, Hive, and Hadoop.
2. Programming Languages: Proficient in Python, Scala, SQL, and Shell Scripting for data processing, transformation, and automation.
3. Cloud Platform Expertise: Hands-on experience with Google Cloud Platform (GCP) services, including but not limited to BigQuery, BigTable, Cloud Composer, Dataflow, Google Cloud Storage, and Identity and Access Management (IAM).
4. Version Control and CI/CD: Implement and maintain version control using Git and establish continuous integration/continuous deployment (CI/CD) pipelines for data processing workflows.
5. Jenkins Integration: Experience with Jenkins for automating the building, testing, and deployment of data pipelines.
6. Data Modeling: Work on data modeling and database design to ensure optimal storage and retrieval of data.
7. Performance Optimization: Identify and implement performance optimization techniques for large-scale data processing.
8. Collaboration: Collaborate with cross-functional teams, including data scientists, analysts, and other engineers, to understand data requirements and deliver solutions.
9. Security and Networking: Possess basic knowledge of GCP Networking and GCP IAM to ensure secure and compliant data processing.
10. Documentation: Create and maintain comprehensive documentation for data engineering processes, workflows, and infrastructure.
Qualifications:
1. Proven experience with Apache Spark, Hive, and Hadoop.
2. Strong programming skills in Python, Scala, SQL, and Shell Scripting.
3. Hands-on experience with GCP services, including BigQuery, BigTable, Cloud Composer, Dataflow, Google Cloud Storage, and Identity and Access Management (IAM)
4. Familiarity with version control using Git and experience in implementing CI/CD pipelines.
5. Experience with Jenkins for automating data pipeline processes.
6. Basic understanding of GCP Networking.
7. Excellent problem-solving and analytical skills.
8. Strong communication and collaboration skills.
About Us
Triunity is a Product Development, Staff Augmentation, and Consulting Services company providing solutions and services in North America. We provide IT services and technology solutions to various business verticals like Healthcare, Pharma, Banking, Finance, etc. Our goal is to develop a long-term partnership with businesses and help them get a competitive advantage by providing IT infrastructure and software platforms.
Lead by experts in the IT industry with a proven record of delivering software solutions, consulting, and staffing services, we have expertise in fulfilling client needs in terms of customized business solutions as well as IT consulting. At Triunity, we always try to bring the right mix of skills, technologies, and experts together which helps our clients to stay ahead in the competition. Our goal is to make our clients empower with cutting-edge technologies and take care of all their IT needs so they can focus more on their core business.
Triunity Culture
Our core value is our people and our teams . We believe the real mantra of success is like minded people with right mix of technical and analytical skills. Our strength lies in bringing right set of people and delivering work as a team. Be it expert or intern Triunity always always value its own people and give them platform to excel in their career.
At Triunity you can expect
- Challenging & Friendly
- Work on new edge technologies & tools
- Work with industry experts
- Solving complex client problems and delivering solutions
- Working on projects lasting from six months to several years
Careers & Growth Model
At Triunity people are motivated by the complexity and challenges they face when working on client projects . We always motivate our people to keep learning new technologies and also give them platform where they can get chance to show their technical and analytical skills . We help our people in adding latest technologies ,tools, methodologies and certifications to their resume by arranging trainings , seminars and knowledge sharing sessions.
(if you already have a resume on Indeed)