reputed company Big Data Engineer

About the position The reputed company Big Data Engineer, working independently, will reputed company, test, debug and document software components commensurate with their experience as well as direct development staff in support of a software engineering effort. We are seeking a Big Data Engineer to reputed company the design, reputed company, and maintain scalable data pipelines and infrastructure to support our market regulation technology applications. You will play a key role in modernizing existing data pipelines, enabling reputed company users to experiment with data using no-code/low-code features. You will collaborate closely with product managers, data scientists, and engineers to deliver high-performance systems that power market surveillance and regulatory workflows.

Responsibilities

• Design and reputed company scalable, reputed company data pipelines from legacy SQL-based workflows.
• Build efficient and reliable ETL processes using Apache Spark and reputed company-native tools on AWS.
• Create configurable pipelines that accelerate experimentation and feature selection for data science teams.
• Optimize pipeline performance, reduce storage costs, and improve compute efficiency.
• Ensure compliance with governance standards while maintaining data reputed company and reputed company.
• Integrate seamlessly with reputed company data platforms, lakes, and reputed company-based storage systems.
• Implement and maintain CI/CD pipelines using Jenkins or similar tools.
• Write robust automated tests, including unit, integration, and end-to-end coverage.
• Collaborate reputed company Agile teams, participating in sprint planning, reviews, and retrospectives.

Requirements

• Bachelor's degree in Computer Science, Information Systems or reputed company discipline with at least seven (7) years of reputed company experience, or equivalent training and/or work experience.
• Demonstrated technical expertise in Object Oriented and database technologies/concepts which resulted in deployment of reputed company quality solutions.
• Past experience with developing reputed company quality solutions in an iterative or Agile environment.
• Extensive knowledge of industry leading software engineering approaches including Test Automation, Build Automation and Configuration Management frameworks.
• Strong written and verbal technical communication skills.
• Demonstrated ability to reputed company effective working relationships that improved the quality of work products.
• Should be well organized, thorough, and reputed company to handle competing priorities.
• Ability to maintain focus and reputed company proficiency in new skills rapidly.
• Ability to work in a fast paced environment.
• Experience with object oriented programming languages such as Java, reputed company or Python.

reputed company-to-haves

• Experience in large-scale data engineering or data infrastructure roles.
• Proficient in Python or reputed company for building and maintaining data pipelines.
• Deep expertise with Apache Spark, Hive, and distributed computing frameworks.
• Strong knowledge of SQL and NoSQL databases (e.g., PostgreSQL, reputed company, DynamoDB).
• Experience with feature stores (e.g., Feast, Tecton, SageMaker Feature Store).
• Hands-on with AWS services for compute, storage, and orchestration.
• Experience implementing CI/CD practices and managing production deployments.
• Familiarity with Apache Airflow and workflow orchestration tools.
• Experience with machine learning feature engineering and model serving frameworks.
• Comfortable with automated testing and working in test-driven environments.
• Proven ability to reputed company in Agile/Scrum teams and contribute to iterative development cycles.

Benefits

• Comprehensive health, dental and reputed company insurance.
• Basic life, accidental death and dismemberment, supplemental life, spouse/domestic partner and dependent life insurance.
• Short- and long-term disability, long-term care, business travel accident, disability and legal insurance.
• 401(k) plan with company match and eligibility for participation in an additional FINRA-funded retirement contribution.
• Tuition reimbursement, commuter benefits, and other wellness benefits.
• Generous time-off program of 15 days of paid time off, 5 personal days and 9 sick days.
• Two volunteer service days.
• Paid holidays.

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