Big Data + PySpark - Fulltime

8+ Years of relevant experience. Responsible for Design, Build & deployment of the Solution in Bigdata, HIVE, UNIX, Spark SQL, Hadoop. Knowledge in Big data tools like Spark, HiveQL is desirable. Ability to effectively use complex analytical, interpretive and problem solving techniques. Analytical, flexible, team-oriented and has good interpersonal/communication skills. Apply Internal Standards for re-use, Architecture, Testing and general best practices. Responsible for full software Developmen

Job Summary We are seeking a highly motivated and experienced Principal Engineer to join our Retail and Wealth Risk Engineering team under the Enterprise Risk Technology platform. This is an intermediate-level position responsible for designing, building, and maintaining robust, scalable data pipelines and solutions that leverage cutting-edge Mandatory platform for the secure and scalable deployment of AI agents, Big Data, Databrick and AI technologies. The ideal candidate is a high-impact indi

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Principal Software Engineering position at Associate level which is part of the job family responsible for developing and maintaining software solutions that support business needs. Since 1935, Morgan Stanley is known as a global leader in financial services, continuously evol

Title: Databricks Engineer - Hybrid Mandatory skills: big data technologies, cloud platforms, AWS, Azure, Databricks platform, scalable analytics solutions, Spark, Unstructured format, Unity Catalog, Genie, Immuta, lambda, dynamodb, aws data sync, aws sftp, programming languages, Java, Python, Bash, Unix shell, Shell Scripting, VBA, automation, scripting, ETL processes, SQL query optimization, database design, Data Warehouses, Oracle, Microsoft SQL Server databases, big data solutions, data work