Data Engineer - Python & AWS
Data Engineer - Python & AWS
This is with a global IT services firm for a leading global investment/wealth management services firm.
Location: New York City, NY, USA - work in office 3 days /week - Eastern Time zone
Contract - 6 months, possible renewal
Project description
Applying to the position, you may join one of the most respected and fastest growing institutional investors in the world. 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-calibre 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
Required daily participation in highly loaded data transformations.
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.
Skills
Must have
5+ years experience in Python in an enterprise environment, covering the whole development life cycle
Amazon S3, AWS Lake Formation, Glue Catalog, Amazon
EMR/EC2/Serverless, Spark, Athena
Amazon NeptuneDB
Amazon EventBridge, SNS, SQS, API Gateway, AWS Lambda
Terraform, AWS CloudFormation, IAM
Nice to have
Capital market experience
BI Tools
Experience with terraform for Infrastructure as code and cloud provisioning.
Experience with Jupyter notebooks for data analysis and reporting.
This is with a global IT services firm for a leading global investment/wealth management services firm.
Location: New York City, NY, USA - work in office 3 days /week - Eastern Time zone
Contract - 6 months, possible renewal
Project description
Applying to the position, you may join one of the most respected and fastest growing institutional investors in the world. 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-calibre 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
Required daily participation in highly loaded data transformations.
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.
Skills
Must have
5+ years experience in Python in an enterprise environment, covering the whole development life cycle
Amazon S3, AWS Lake Formation, Glue Catalog, Amazon
EMR/EC2/Serverless, Spark, Athena
Amazon NeptuneDB
Amazon EventBridge, SNS, SQS, API Gateway, AWS Lambda
Terraform, AWS CloudFormation, IAM
Nice to have
Capital market experience
BI Tools
Experience with terraform for Infrastructure as code and cloud provisioning.
Experience with Jupyter notebooks for data analysis and reporting.
Job Title
Data Engineer - Python & AWS
Data Engineer - Python & AWS
Job Type
Contract Full-Time
Contract Full-Time
Location
New York City NY
New York City NY
Country
USA
USA