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Join our Team
ABOUT THE ROLE
We are looking for an experienced Senior Data Engineer to design and operate enterprise-grade data infrastructure - including warehouses, lakes, and marts - while ensuring data quality, governance, and compliance. You will bring deep expertise in data architecture and modeling, combined with proficiency in pipeline orchestration and analytics tooling.
KEY RESPONSIBILITIES
Data Architecture & Modeling• Design enterprise data models using dimensional modeling, Data Vault 2.0, or similar methodologies• Architect and maintain data warehouses, data lakes, and lakehouse environments• Define and enforce data standards, naming conventions, and schema governance across domains
Data Governance & Quality• Implement data governance frameworks including cataloging, lineage tracking, and metadata management• Build automated data quality checks, validation rules, and anomaly detection into pipelines• Ensure compliance with data privacy regulations through access controls and data classification• Maintain master data management standards, data dictionaries, and business glossaries
Pipeline Engineering & Platform• Build and maintain batch and streaming data pipelines with full observability and alerting• Implement change data capture patterns, real-time ingestion, and ELT/ETL frameworks• Administer and scale cloud data platforms; optimize storage, compute, and cost efficiency• Manage data infrastructure using infrastructure-as-code practices
Collaboration• Partner with analytics engineers, data scientists, and BI teams to deliver trusted data products• Define data contracts between producers and consumers; mentor junior engineers
REQUIRED QUALIFICATIONS
• 5+ years of data engineering experience with a focus on enterprise data platforms• Expert SQL skills; strong Python for data processing and automation• Deep experience with cloud data warehouse platforms• Hands-on experience with data transformation frameworks and workflow orchestration tools• Experience with data governance and cataloging platforms• Solid understanding of data quality frameworks, privacy regulations, and CI/CD for pipelines
NICE TO HAVE
AI & Machine Learning• Experience building and maintaining feature stores to serve ML models in production• Familiarity with vector databases and embedding pipelines for retrieval-augmented generation• Exposure to LLM application frameworks and AI orchestration workflows• Data lineage and audit trails applied to AI/ML workflows for compliance and reproducibility
Telecom & RAN• Understanding of RAN architecture, including network nodes, interfaces, and data flows across 4G/5G environments• Familiarity with telecom data sources such as performance counters, KPIs, alarm feeds, and network event logs• Experience with high-volume, time-series network data and applying data engineering principles to telecom datasets• Ability to collaborate with network engineers and RAN teams to define data requirements and support analytics use cases
ABOUT THE ROLE
We are looking for an experienced Senior Data Engineer to design and operate enterprise-grade data infrastructure - including warehouses, lakes, and marts - while ensuring data quality, governance, and compliance. You will bring deep expertise in data architecture and modeling, combined with proficiency in pipeline orchestration and analytics tooling.
KEY RESPONSIBILITIES
Data Architecture & Modeling• Design enterprise data models using dimensional modeling, Data Vault 2.0, or similar methodologies• Architect and maintain data warehouses, data lakes, and lakehouse environments• Define and enforce data standards, naming conventions, and schema governance across domains
Data Governance & Quality• Implement data governance frameworks including cataloging, lineage tracking, and metadata management• Build automated data quality checks, validation rules, and anomaly detection into pipelines• Ensure compliance with data privacy regulations through access controls and data classification• Maintain master data management standards, data dictionaries, and business glossaries
Pipeline Engineering & Platform• Build and maintain batch and streaming data pipelines with full observability and alerting• Implement change data capture patterns, real-time ingestion, and ELT/ETL frameworks• Administer and scale cloud data platforms; optimize storage, compute, and cost efficiency• Manage data infrastructure using infrastructure-as-code practices
Collaboration• Partner with analytics engineers, data scientists, and BI teams to deliver trusted data products• Define data contracts between producers and consumers; mentor junior engineers
REQUIRED QUALIFICATIONS
• 5+ years of data engineering experience with a focus on enterprise data platforms• Expert SQL skills; strong Python for data processing and automation• Deep experience with cloud data warehouse platforms• Hands-on experience with data transformation frameworks and workflow orchestration tools• Experience with data governance and cataloging platforms• Solid understanding of data quality frameworks, privacy regulations, and CI/CD for pipelines
NICE TO HAVE
AI & Machine Learning• Experience building and maintaining feature stores to serve ML models in production• Familiarity with vector databases and embedding pipelines for retrieval-augmented generation• Exposure to LLM application frameworks and AI orchestration workflows• Data lineage and audit trails applied to AI/ML workflows for compliance and reproducibility
Telecom & RAN• Understanding of RAN architecture, including network nodes, interfaces, and data flows across 4G/5G environments• Familiarity with telecom data sources such as performance counters, KPIs, alarm feeds, and network event logs• Experience with high-volume, time-series network data and applying data engineering principles to telecom datasets• Ability to collaborate with network engineers and RAN teams to define data requirements and support analytics use cases
Ericsson Pune, Mahārāshtra, IND Office
Ericsson Pune Hub Office
Established IT zone near Viman Nagar with good airport access. Surrounded by cafes, housing and retail, offering a comfortable city lifestyle with a slightly slower pace than larger metros.
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
