This role is 4 days a week onsite Project description Our client is a professional investment management organization that globally invests the funds to ensure long-term sustainability.
The company invests in all major asset classes, including public equity, private equity, real estate, infrastructure and fixed-income instruments.
Client attracts and selects high-caliber individuals from top-tier institutions around the globe. Join our team and look forward to : Diverse and inspiring colleagues and approachable leaders Stimulating work in a fast-paced, intellectually challenging environment Accelerated exposure and responsibility Global career development opportunities Being motivated every day by important social purpose and unshakable principles A deeply rooted culture of Integrity, Partnership and High Performance If you share a passion for performance, value a collegial and collaborative culture, and approach everything with the highest integrity, here's an opportunity.
Responsibilities Manage timelines / deliverables within the team towards the successful delivery of projects. Design software solutions by interacting with portfolio managers, traders, operations staff and peers to understand requirements.
Develop solutions that are in line with client's technology biases, deliver efficiency and scalability, and enable new trading activities.
Provide knowledge transfer to team members and support staff through application demos, walkthroughs, and documentation.
Required Skills Concepts : Data Mesh, Data Product Data Pipelines : PySpark, Hudi, Iceberg, Airflow, EMR Data Operations : Operational Excellence, monitoring, troubleshooting Data Quality : Great Expectations, AWS Glue DQ, Deequ Entitlements : AWS Lakeformation Infrastructure : AWS Data Eng.
Services (Glue, EMR, Athena etc.), AWS Compute Services (EC2, Lambda), AWS Storage Service (S3), cross-account IAM, RAM, MWAA, Step Functions, etc.
DevOps : Terraform, Git Actions Metadata : Neptune, OpenLineage, Angular, DataZone Consumption : AWS Athena, Trino Other Tools : JupyterLab, Databricks SQL We are looking for experienced support whereby experience means comfortable working with production-level code and assets with clear understanding of DevOps and DataOps principles. Powered by JazzHR
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