Sr Big Data Engineer Airflow and Oozie (GCP)

Open Data Science Conferenc; United States; Remote; USD 116,000 - 199,000; Full time

Job summary

A forward-thinking company is on the lookout for a Senior Big Data Engineer to join their dynamic team. The ideal candidate will possess extensive experience in developing batch processing systems, particularly within the Apache Hadoop ecosystem, and have a strong proficiency in tools like Oozie and Airflow. This exciting role offers the opportunity to leverage GCP for scalable big data solutions while working in a remote environment. If you're passionate about technology and eager to solve complex problems creatively, this position is perfect for you. Join a team that values innovation and collaboration, and make a significant impact in the world of data science.

Qualifications

• 5+ years of experience in customer-facing software/technology or consulting.
• Strong programming skills in Java and Python, with expertise in GCP.

Responsibilities

• Develop scalable code for batch processing systems using Hadoop and Oozie.
• Manage and optimize data workflows with Oozie and Airflow.

Skills

Java

Python

Oozie

Airflow

Map Reduce

Spark

SQL

Pig

GCP

DevOps principles

Education

Bachelor’s degree in Computer Science

Degree in software engineering or related field

Tools

Terraform

BigTable

Redis

Job description

We are seeking a highly skilled and experienced Senior Big Data Engineer to join our dynamic team. The ideal candidate will have a strong background in developing batch processing systems, with extensive experience in Oozie, the Apache Hadoop ecosystem, Airflow, and a solid understanding of public cloud technologies, especially GCP. This role involves working in a remote environment, requiring excellent communication skills and the ability to solve complex problems independently and creatively.

Key Responsibilities:

• Develop scalable and robust code for batch processing systems. This includes working with technologies like Hadoop, Oozie, Pig, Hive, Map Reduce, Spark (Java), Python, Hbase.
• Develop, Manage and optimize data workflows using Oozie and Airflow within the Apache Hadoop ecosystem.
• Leverage GCP for scalable big data processing and storage solutions.

Qualifications:

• Bachelors’s degree in Computer Science, software engineering or related field of study.
• Experience with managed cloud services and understanding of cloud-based batch processing systems are critical.
• Proficiency in Oozie, Airflow, Map Reduce, Java.
• Strong programming skills with Java (specifically Spark), Python, Pig, and SQL.
• Expertise in public cloud services, particularly in GCP.
• Proficiency in the Apache Hadoop ecosystem with Oozie, Pig, Hive, Map Reduce.
• Familiarity with BigTable and Redis.
• Experienced in Infrastructure and Applied DevOps principles in daily work. Utilize tools for continuous integration and continuous deployment (CI/CD), and Infrastructure as Code (IaC) like Terraform to automate and improve development and release processes.
• Proven experience in engineering batch processing systems at scale.

Must Have:

• 5+ years of experience in customer-facing software/technology or consulting.
• 5+ years of experience with “on-premises to cloud” migrations or IT transformations.
• 5+ years of experience building, and operating solutions built on GCP (ideally) or AWS/Azure.
• Proficiency in Oozie, Airflow, Map Reduce, Java.

The following information is required by pay transparency legislation in the following states: CA, CO, HI, NY, and WA. This information applies only to individuals working in these states.

·The anticipated starting pay range for Colorado is: $116,100 – $170,280.

·The anticipated starting pay range for the states of Hawaii and New York (not including NYC) is: $123,600 – $181,280.

·The anticipated starting pay range for California, New York City and Washington is: $135,300 – $198,440.

Unless already included in the posted pay range and based on eligibility, the role may include variable compensation in the form of bonus, commissions, or other discretionary payments. These discretionary payments are based on company and/or individual performance and may change at any time. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location.

About Rackspace Technology

We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.

More on Rackspace Technology

Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.