Performance Optimization: Continuously monitor and optimize data pipelines and infrastructure for performance, scalability, and cost-effectiveness, ensuring optimal access to global wealth data.
Collaboration: Partner with business stakeholders, data scientists, portfolio managers, and other technology teams to understand data needs and deliver effective solutions that support investment strategies and client reporting.
Data Governance: Implement and enforce data governance policies and procedures to ensure data quality, security, and compliance with relevant regulations, particularly around sensitive financial data.
Qualifications
10-15 years of hands-on experience in Hadoop, Scala, Java, Spark, Hive, Kafka, Impala, Unix Scripting and other Big data frameworks.
4+ years of experience with relational SQL and NoSQL databases: Oracle, MongoDB, HBase
Strong proficiency in Python and Spark Java with knowledge of core spark concepts (RDDs, Dataframes, Spark Streaming, etc) and Scala and SQL
Data Integration, Migration & Large Scale ETL experience (Common ETL platforms such as PySpark/DataStage/AbInitio etc.) - ETL design & build, handling, reconciliation and normalization
Data Modeling experience (OLAP, OLTP, Logical/Physical Modeling, Normalization, knowledge on performance tuning)
Experienced in working with large and multiple datasets and data warehouses
Experience building and optimizing ‘big data’ data pipelines, architectures, and datasets.
Strong analytic skills and experience working with unstructured datasets
Ability to effectively use complex analytical, interpretive, and problem-solving techniques
Experience with Confluent Kafka, Redhat JBPM, CI/CD build pipelines and toolchain – Git, BitBucket, Jira
Experience with external cloud platform such as OpenShift, AWS & GCP
Experience with container technologies (Docker, Pivotal Cloud Foundry) and supporting frameworks (Kubernetes, OpenShift, Mesos)
Experienced in integrating search solution with middleware & distributed messaging - Kafka
Highly effective interpersonal and communication skills with tech/non-tech stakeholders.
Experienced in software development life cycle and good problem-solving skills.
Excellent problem-solving skills and strong mathematical and analytical mindset
Ability to work in a fast-paced financial environment
Education
Bachelor’s degree/University degree or equivalent experience
Master’s degree preferred
Job Family Group
Technology
Job Family
Systems & Engineering
Time Type
Full time
- Most Relevant Skills
- Please see the requirements listed above.
- Other Relevant Skills
- For complementary skills, please see above and/or contact the recruiter.
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