Architect/Specialist-Data Pipeline (Ab Initio)

India

Nokia

As a technology leader across mobile, fixed and cloud networks, our solutions enable a more productive, sustainable and inclusive world.

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In this role, you will play a key role in designing, building, and optimizing scalable data products within the Telecom Analytics domain. You will collaborate with cross-functional teams to implement AI-driven analytics, autonomous operations, and programmable data solutions. This position offers the opportunity to work with cutting-edge Big Data and Cloud technologies, enhance your data engineering expertise, and contribute to advancing Nokia’s data-driven telecom strategies.

If you are passionate about creating innovative data solutions, mastering cloud and big data platforms, and working in a fast-paced, collaborative environment, this role is for you!

  • Data Governance: Manage source data within the Metadata Hub and Data Catalog.
  • ETL Development: Develop and execute data processing graphs using Express It and the Co-Operating System.
  • ETL Optimization: Debug and optimize data processing graphs using the Graphical Development Environment (GDE).
  • API Integration: Leverage Ab Initio APIs for metadata and graph artifact management.
  • CI/CD Implementation: Implement and maintain CI/CD pipelines for metadata and graph deployments.
  • Team Leadership & Mentorship: Mentor team members and foster best practices in Ab Initio development and deployment.

You have:

  • Bachelor’s or master’s degree in computer science, Data Engineering, or related field with 8+ years of experience in data engineering with a focus on Big Data, Cloud, and Telecom Analytics.
  • Hands-on expertise in Ab Initio for data cataloguing, metadata management, and lineage.
  • Skills in data warehousing, OLAP, and modelling using BigQuery, Clickhouse, and SQL.
  • Experience with data persistence technologies like S3, HDFS, and Iceberg.
  • Hold on, Python and scripting languages.

It would be nice if you also had:

  • Experience with data exploration and visualization using Superset or BI tools.
  • Knowledge in ETL processes and streaming tools such as Kafka.
  • Background in building data products for the telecom domain and understanding of AI and machine learning pipeline integration.

Come create the technology that helps the world act together

Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people’s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world.
We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work

What we offer
 
Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered.

Nokia is committed to inclusion and is an equal opportunity employer

Nokia has received the following recognitions for its commitment to inclusion & equality:

  • One of the World’s Most Ethical Companies by Ethisphere
  • Gender-Equality Index by Bloomberg
  • Workplace Pride Global Benchmark

At Nokia, we act inclusively and respect the uniqueness of people. Nokia’s employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law.
We are committed to a culture of inclusion built upon our core value of respect.

Join us and be part of a company where you will feel included and empowered to succeed.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Architecture Jobs

Tags: APIs Big Data BigQuery CI/CD Computer Science Data governance Data Warehousing Engineering ETL HDFS Kafka Machine Learning OLAP Pipelines Python SQL Streaming Superset

Perks/benefits: Career development

Region: Asia/Pacific
Country: India

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