As a Principal Engineer with in-depth knowledge of data-intensive application development. Youll be part of the Network & Technology IT Organization focusing on end-to-end implementation of data movement/data pipeline solutions. Working on the overall IT architecture and design for complex Applications, System Architecture and functionality development. Providing technical guidance to cross-functional teams in crafting solutions and describing the impact of new solutions to systems and processes. Supporting mission & business critical applications in Network Systems covering Data movement platforms Playing a critical role in alignment with the Solution Architecture team to prepare HLD and LLD and taking responsibility for Development and Delivery on Time. Participating in planning, definition, and high-level design of the solution and explore solution alternatives Developing complex application migrations to the North Star technology platforms aligning with the SOE/SRE standards. Creating, leading, shaping and executing programs with initiatives to process optimization and modern technology adoption to create higher value for the business. Defining reusable components/frameworks, common schemas, standards to be used & tools to be used and helping bootstrap the Data Movement / Data Pipeline platforms. Preparing and Reviewing design to make sure design is aligned with the North Star Architecture and Data Engineering Industry Standards. Driving Technology and with best software engineering practices to impact on the entire architecture eco-system of the product. Participating in code reviews, design reviews, architecture discussions. Working with Solution Architects customers, stakeholders, and suppliers to establish high-level Solution Intent, and the solution intent information models and documentation requirements. Where you'll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Youll need to have: Masters or Bachelors degree with more than ten years of work experience. Ten or more years of work experience in Big Data, Data Engineering concepts like Aggregations, Transformations, Rollups etc., Hands on experience in Data Movement/Data Pipeline platforms Primary Must Have Skills Experience in Distributed systems which are data-intensive applications Experience in Data Pipeline Design/ETL frameworks Experience in Data Ingestion/Processing Frameworks like: Apache Flink, Apache Spark, Apache Kafka Experience in Containers Orchestration tools like Kubernetes, Managed Kubernetes Experience in Big Data formats like Apache Parquet, Apache Orc and Apache Avro Experience in at least any one of OLAP Databases Good to Have Orchestration Tools: Apache Airflow, Dagster, Prefect, Oozie Data Modeling: Logical/Conceptual data models, Snowflake vs Star schema, SCD types etc Experience in Data Quality/Data Lineage/Data Governance Hands on Experience in coding(Python,Java,SpringBoot), drive teams through massive refactoring exercises and improve coding standards across large code bases. Experience on providing solutions / Architecture for Modernization Experience in Compute & Storage Architectures Experience in Data Visualization tools like Apache Superset, Grafana etc., Experience in Data storage formats - IceBerg/delta and Data Retrieval, DataBricks/Snowflake and Orchestration- Airflow Knowledge on cloud technologies - AWS/On-Prem cloud or docker containers -Kubernetes (K8S) Even better if you have one or more of the following: A Master degree. Experience with object oriented programming, SOA, modular code development, design patterns, multi-threading. Contribution to industry forums (e.g., ETSI, 3GPP, TMForum, MEF). Knowledge of wireline and Wireless networks and services
