Aws Data Engineer

About the Company :

Headquartered in California, U.S.A., GSPANN provides consulting and IT services to global clients. We help clients transform how they deliver business value by helping them optimize their IT capabilities, practices, and operations with our experience in retail, high-technology, and manufacturing. With five global delivery centers and 1900+ employees, we provide the intimacy of a boutique consultancy with the capabilities of a large IT services firm.

Role :

Experience

Technical Skill :

Work Location

Roles and Responsibilities:

Responsibilities:

• Design, develop and maintain a data platform that is accurate, secure, available, and fast.
• Engineer efficient, adaptable, and scalable data pipelines to process data.
• Integrate and maintain a variety of data sources: different databases, APIs, SAASs, files, logs, events, etc.
• Create standardized datasets to service a wide variety of use cases.
• Develop subject-matter expertise in tables, systems, and processes.
• Partner with product and engineering to ensure product changes integrate well with the data platform.
• Partner with diverse stakeholder teams, understand their challenges and empower them with data solutions to meet their goals.
• Perform data quality on data sources and automate and maintain a quality control capability.

Qualifications:

• At least 5+ years of experience as a Data Engineer
• You have hands-on and deep experience with Star/Snowflake schema design, data modeling, data pipelining and MLOps.
• Experience in Data Warehouse technologies (e.g. Snowflake, AWS Redshift, etc)
• Experience in AWS data pipelines (Lambda, AWS glue, Step functions, etc)
• Fintech or Financial services industry experience
• You are proficient in SQL and at least one major programming language like Python, Java
• Experience with Data Analysis Tools such as Looker or Tableau
• Experience with Pandas, Numpy, Scikit-learn, and Jupyter notebooks preferred, familiarity with Git, GitHub, and JIRA.
• You have an eye for detail. You catch & resolve data quality issues before others do
• You are always looking for opportunities to simplify, automate tasks, and build reusable components. You use good judgment in applying new technologies to solve business problems
• End to end data platform support experience
• You build strong relationships with analysts, business, and engineering stakeholders
• You are independent. You can prioritize well and break down ambiguous problems into actionable tasks and execute them.
• Familiar with agile methodologies.
• Experience in the fintech industry.
• Aware of or Eagerness to learn, about the Private Equity/Venture Capital ecosystem and associated secondary market,

Role:Data Engineer

Salary:Not Disclosed by Recruiter

Industry:IT Services & Consulting

Functional AreaEngineering - Software & QA

Role CategorySoftware Development