Architect/Specialist-Data Pipeline

8 - 12 years

0 Lacs

Posted:1 week ago| Platform: Shine logo

Apply

Work Mode

On-site

Job Type

Full Time

Job Description

In this role, you will have a significant impact on the design, development, and optimization of scalable data products in the Telecom Analytics domain. Collaborating with diverse teams, you will implement AI-driven analytics, autonomous operations, and programmable data solutions. This position provides an exciting opportunity to work with cutting-edge Big Data and Cloud technologies, enhance your data engineering skills, and contribute to the advancement of Nokia's data-driven telecom strategies. If you have a passion for creating innovative data solutions, mastering cloud and big data platforms, and thrive in a fast-paced, collaborative environment, then this role is tailored for you! You will play a crucial role in various aspects, including but not limited to: - Managing source data within the Metadata Hub and Data Catalog for effective Data Governance. - Developing and executing data processing graphs using Express It and the Co-Operating System for ETL Development. - Debugging and optimizing data processing graphs using the Graphical Development Environment (GDE) for ETL Optimization. - Leveraging Ab Initio APIs for metadata and graph artifact management for API Integration. - Implementing and maintaining CI/CD pipelines for metadata and graph deployments for CI/CD Implementation. - Mentoring team members and promoting best practices in Ab Initio development and deployment for Team Leadership & Mentorship. You should possess: - A Bachelor's or Master's degree in computer science, Data Engineering, or a related field with at least 8 years of experience in data engineering, focusing 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 modeling using BigQuery, Clickhouse, and SQL. - Experience with data persistence technologies such as S3, HDFS, and Iceberg. - Proficiency in Python and scripting languages. Additional experience in the following areas would be beneficial: - Data exploration and visualization using Superset or BI tools. - Knowledge of ETL processes and streaming tools like Kafka. - Background in building data products for the telecom domain and understanding AI and machine learning pipeline integration. At Nokia, we are dedicated to driving innovation and technology leadership across mobile, fixed, and cloud networks. Join us to make a positive impact on people's lives and contribute to building a more productive, sustainable, and inclusive world. We foster an inclusive working environment where new ideas are welcomed, risks are encouraged, and authenticity is celebrated. Nokia offers continuous learning opportunities, well-being programs, support through employee resource groups, mentoring programs, and a diverse team with an inclusive culture where individuals can thrive and feel empowered. We are committed to inclusion and are proud to be an equal opportunity employer. Join our team at Nokia, the growth engine leading the transition to cloud-native software and as-a-service delivery models for communication service providers and enterprise customers. Be part of a collaborative team of dreamers, doers, and disruptors who push boundaries from the impossible to the possible.,

Mock Interview

Practice Video Interview with JobPe AI

Start Python Interview
cta

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.

Job Application AI Bot

Job Application AI Bot

Apply to 20+ Portals in one click

Download Now

Download the Mobile App

Instantly access job listings, apply easily, and track applications.

coding practice

Enhance Your Python Skills

Practice Python coding challenges to boost your skills

Start Practicing Python Now
Nokia logo
Nokia

Telecommunications

Espoo

RecommendedJobs for You