Data Engineer
Job Summary
Job Description
Data Engineer role at ION Analytics focused on building and managing data pipelines for production ML models. Requires 3+ years experience in data engineering, Databricks, PySpark, Apache Spark, and strong Python skills. Experience with cloud infrastructure (AWS/Azure), data warehousing, and data lakes is essential.
Must have:
- Data Engineering
- Databricks, PySpark
- Apache Spark
- Strong Python
Good to have:
- Apache Airflow
- Apache Kafka
- Kubernetes
- Docker
Perks:
- Global Footprint
- Cutting Edge
15 skills required
Job Details
The Role:
As a Data Science - Data Engineer, you will play a crucial role in creating and managing the dataflows used by production machine learning models and data scientists. You will be responsible for collaborating with cross-functional teams, engineers, product managers and data scientists to understand requirements and deliver high-quality solutions. You will be expected to implement best practices in data management, coding, testing, and deployment, ensuring scalability, performance, and security. Strong problem-solving skills, excellent communication, and the ability to adapt to new challenges in a fast-paced environment is essential for this role.
Key Responsibilities
- Design, build, and maintain large-scale data pipelines to ingest, process, and transform complex financial data
- Develop data ingestion frameworks to handle high-volume and high-variety data feeds
- Implement data quality control measures to detect and handle data anomalies, duplicates, and inconsistencies
- Optimize data pipeline performance for scalability, reliability, and latency
- Collaborate with data scientists to integrate machine learning models into the data pipeline and ensure seamless data flow
- Develop and maintain model serving infrastructure to support real-time predictions and batch scoring
- Implement model monitoring and logging to track performance, data quality, and model drift
- Manage cloud-based infrastructure to support data pipeline and model serving workloads
- Troubleshoot data pipeline issues, data quality problems, and model performance degradation
- Collaborate with cross-functional teams, including data science, product, and engineering teams to ensure alignment and effective communication
Required Skills, Experience, and Qualifications
- 3+ years of experience in a data engineering or similar role, with a focus on building and deploying data pipelines and machine learning models
- 2+ years of experience with Databricks, PySpark, and Apache Spark
- 1+ year of experience with Apache Airflow, Apache Kafka, and Kubernetes
- Strong Python skills, with 3+ years of experience
- Experience with production machine learning model deployment and management
- Knowledge of cloud-based infrastructure and services AWS and Azure
- Experience with data warehousing, data lakes, and data marts
- Familiarity with containerization using Docker and orchestration using Kubernetes
- Understanding of messaging and streaming using Apache Kafka
- Experience with workflow management using Apache Airflow
- Strong problem-solving skills, with the ability to troubleshoot complex data pipeline and machine learning model issues
- Excellent communication and collaboration skills, with the ability to work with data scientists, engineers, and senior stakeholders
- Degree educated in Computer Science or relevant subject
- Excellent spoken and written English
- Experience of driving innovation within teams
- Positive, can-do approach to work, delivering on commitments
- Able to earn respect and build trust through high-quality delivery and by demonstrating value added
- Act with integrity, with the ability to make decisions, taking accountability for the consequences of these decisions
- Creative approach to problem solving, can look at existing situations and problems in novel ways and propose innovative solutions
About us
We’re a diverse group of visionary innovators who provide trading and workflow automation software, high-value analytics, and strategic consulting to corporations, central banks, financial institutions, and governments. Founded in 1999, we’ve achieved tremendous growth by bringing together some of the best and most successful financial technology companies in the world.
• Over 2,000 of the world’s leading corporations, including 50% of the Fortune 500 and 30% of the world’s central banks, trust ION solutions to manage their cash, in-house banking, commodity supply chain, trading and risk.
• Over 800 of the world’s leading banks and broker-dealers use our electronic trading platforms to operate the world’s financial market infrastructure.
ION is a rapidly expanding and dynamic group with 13,000 employees and offices in more than 40 cities around the globe. Our ever-expanding global footprint, cutting edge products, and over 40,000 customers worldwide provide an unparalleled career experience for those who share our vision.
ION is committed to maintaining a supportive and inclusive environment for people with diverse backgrounds and experiences. We respect the varied identities, abilities, cultures, and traditions of the individuals who comprise our organization and recognize the value that different backgrounds and points of view bring to our business.
ION adheres to an equal employment opportunity policy that prohibits discriminatory practices or harassment against applicants or employees based on any legally impermissible factor.
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About The Company
We’re visionary innovators who are delivering mission-critical trading and workflow automation software to financial institutions, corporations, central banks, and governments. By combining our passion for automation with a strategic view on the industries we serve, we design solutions that improve decision-making, simplify complex processes, and empower people. Simply put, we help our customers do more, faster and better than before. We believe our investments in research and development are shaping the future of automation and enabling our customers to transform their business. And we embrace the power of community, working with each other and with our customers to succeed through a positive culture of continuous improvement.
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