Role Description We are seeking an experienced Big Data Engineer to design, build, and operate large-scale data processing pipelines and analytics platforms on Hadoop and related big-data ecosystems. In this role you will be responsible for: - Ingesting, transforming, and analyzing massive volumes of structured and unstructured data - Supporting enterprise analytics, machine learning, and reporting workloads The ideal candidate will combine deep technical expertise across the Hadoop ecosystem with strong software engineering fundamentals and a clear understanding of how to deliver reliable, performant, and cost-effective data platforms in production environments. Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related technical discipline - Five or more years of professional experience designing and operating big-data pipelines on Hadoop - Strong hands-on expertise with Apache Spark (Scala, Python, or Java) in production environments - Solid experience with Hive, HDFS, Sqoop, HBase, and the broader Hadoop ecosystem - Hands-on experience with streaming data platforms such as Kafka, Spark Streaming, or Flink - Strong SQL skills and experience working with both relational and NoSQL data stores - Experience with workflow orchestration tools such as Airflow or Oozie - Solid understanding of distributed systems concepts, including partitioning, replication, and fault tolerance - Strong scripting skills in Python or Shell - Excellent troubleshooting, debugging, and documentation skills Requirements - Experience operating Hadoop on cloud platforms such as AWS EMR, Azure HDInsight, or Databricks - Familiarity with modern lakehouse formats (Delta, Iceberg, Hudi) - Exposure to data governance tooling such as Apache Atlas or Collibra - Experience with Kubernetes-based data platforms (Spark-on-K8s, Trino) - Hands-on experience with CI/CD and infrastructure-as-code in data engineering workflows How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

• Advise clients and colleagues • Analyze business and technical requirements • Implement data engineering solutions based on the SAP portfolio • Take responsibility for the project and the Windhoff project team • Design and implement data models and ETL pipelines • Participate in testing and the handover to production

• Work with enterprise data architecture and systems. • Support IRS modernization initiatives. • Migrate legacy data structures. • Ingest data with ALC and RTF. • Design high-volume data pipelines. • Collaborate on enterprise integration and orchestration tools.

• Design, develop, and maintain ETL/ELT data pipelines using Databricks • Build and optimize data processing solutions in an Azure environment • Collaborate directly with the client to understand requirements and deliver technical solutions • Develop and optimize data transformations using PySpark • Work with Azure Data Factory and Jupyter Notebooks where applicable • Ensure data quality, reliability, and performance across data pipelines • Troubleshoot and resolve data-related issues • Contribute to the continuous improvement of data engineering solutions and best practices