Sr. Data Engineer
Micron — Hyderabad - Phoenix Aquila, India
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Broad knowledge and experience in: Understanding of Data Engineering, Business Intelligence, and Advanced Analytics concepts. Developing, supporting, and maintaining ETL/ELT processes using SSIS, Apache NiFi, and cloud-native data integration technologies. Knowledge of databases, data warehousing, dimensional data modeling, and data governance practices. Familiarity with cloud-based data engineering platforms, especially Google Cloud Platform (GCP) and BigQuery. Experience with workload automation, job scheduling, and monitoring tools such as Active Batch. Supporting enterprise data pipelines and ensuring data availability, reliability, and performance. Experience in production support, managing incidents, identifying root causes, and resolving problems. Knowledge of building APIs and integrating data across multiple applications and platforms. Experience with Agile development methodologies and DevOps practices. Determining transformation requirements and developing processes to bring structured and unstructured data from source systems into target data models. Working with Data Engineers, Data Scientists, and Business teams to support data quality, data preparation, and analytical workloads. Crafting and implementing automation solutions to improve operational efficiency and reduce manual intervention. Above-average skills in: Delivering L3 production assistance for enterprise data engineering platforms and ETL/ELT pipelines. Building and assisting SSIS (SQL Server Integration Services) packages, covering troubleshooting, performance tuning, and issue resolution. Building and assisting with data ingestion and integration operations through Apache NiFi. Applying AI-as
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