4 of 4 Permanent Apache Spark Jobs in Birmingham

for Deloitte landscape and uses cases. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI solutions. Communicate effectively More ❯

Data Engineer Sr - Informatica ETL Expert page is loaded Data Engineer Sr - Informatica ETL Expert Apply locations Two PNC Plaza (PA374) Birmingham - Brock (AL112) Dallas Innovation Center - Luna Rd (TX270) Strongsville Technology Center (OH537) time type Full time posted on More ❯

you prefer Exceptional Benefits : From unlimited holiday and private healthcare to stock options and paid parental leave. What You'll Be Doing: Build and maintain scalable data pipelines using Spark with Scala and Java, and support tooling in Python Design low-latency APIs and asynchronous processes for high-volume data. Collaborate with Data Science and Engineering teams to deploy … Contribute to the development of Gen AI agents in-product. Apply best practices in distributed computing, TDD, and system design. What We're Looking For: Strong experience with Python, Spark, Scala, and Java in a commercial setting. Solid understanding of distributed systems (e.g. Hadoop, AWS, Kafka). Experience with SQL/NoSQL databases (e.g. PostgreSQL, Cassandra). Familiarity with More ❯

within enterprise-grade on-prem systems. Job Responsibilities/Objectives Design, develop, and maintain data pipelines using Hadoop technologies in an on-premises infrastructure. Build and optimize workflows using Apache Airflow and Spark Streaming for real-time data processing. Develop robust data engineering solutions using Python for automation and transformation. Collaborate with infrastructure and analytics teams to support … security and data governance standards. Required Skills/Experience The ideal candidate will have the following: Strong experience in Hadoop and data engineering. Strong hands-on experience with Python, Apache Airflow, and Spark Streaming. Deep understanding of Hadoop components (HDFS, Hive, HBase, YARN) in on-prem environments. Exposure to data analytics, preferably involving infrastructure or operational data. Experience More ❯