Big Data Developer

Key Skills

Java Programming, Design of Experiment, Python Programming, Database, SQL, Big Data Technology, Apache Kafka, Spark Core, NoSQL, Docker, RESTful, PySpark, DNS, SMTP, AWS Glue

Job Description

Amdocs helps those who build the future to make it amazing. With our market-leading portfolio of software products and services, we unlock our customers’ innovative potential, empowering them to provide next-generation communication and media experiences for both the individual end user and enterprise customers. Our 30,000 employees around the globe are here to accelerate service providers’ migration to the cloud, enable them to differentiate in the 5G era, and digitalize and automate their operations. Listed on the NASDAQ Global Select Market, Amdocs had revenue of $4.3 billion in fiscal 2021. For more information, visit Amdocs at

In one sentence

As a big data engineer, you will be a part of a cross-functional team, responsible for design, development, and maintenance of reporting and analytics solution hosted on AWS cloud.

What will your job look like?

• You will design, develop, modify, debug and/or maintain software code according to functional, non-functional and technical design specifications.
• You will follow Amdocs software engineering standards, applicable software development methodology and release processes to ensure code is maintainable, scalable, and supportable, and demo the software products to stakeholders.
• You will investigate issues by reviewing/debugging code, providing fixes and workarounds, and review changes for operability to maintain existing software solutions.
• You will work within a team, collaborate and add value through participation in peer code reviews, provide comments and suggestions, and work with cross functional teams to achieve goals.
• You will assume technical accountability for your specific work products within an application and provide technical support during solution design for new requirements.
• You will be encouraged to actively look for innovation, continuous improvement, and efficiency in all assigned tasks.

All you need is...

•  Bachelor’s or Master’s degree in Computer Science, Computer Engineering or any other Science or Technology field.
• 5+ years developer experience
• Proven proficiency at Apache Spark (PySpark) development and the Python programming language
• 2+ years demonstrated experience with AWS Glue: Jobs, Workflows, Triggers, Crawlers, and Semaphores
• Deep understanding of DataFrame dynamics and job efficiency
• AWS Certification and 2+ years of AWS experience
• Familiarity with Avro schema and Parquet
• Expertise in both SQL and NoSQL DB systems.
• Strong SQL skills to process large sets of data
• Experience with message broker systems (Kafka preferred)
• Experience with repositories (Nexus/Docker Registry)
• A firm understanding of TCP/ IP Network, SMTP, SSH, DNS, TLS and network security
• Good understanding of Database/Data warehousing concepts
• Extensive knowledge of source code management, test automation and disciplined quality driven application development.
• Strong organizational and analytical skills
• Ability to interact well with customers and vendors
• Excellent written and verbal communication skills

Nice to have:

• Experience building RESTful APIs

Why you will love this job:

•  You will be challenged to design, improve, and develop modern big-data analytics reporting and analytics solutions.
• Be a key member of a global, dynamic, and highly collaborative team with various possibilities for personal and professional development!
• You will have the opportunity to work in multinational environment for the global market leader in its field.