
AWS Data Engineers
1 day ago
GSPANN is looking for Data Engineers with expertise in Amazon Web Services (AWS). Our culture fosters individual initiative and excellence. Join our global workforce to unleash a pool of opportunities.
Location: Gurugram / Hyderabad / Pune
Role Type: Full Time
Published On: 28 October 2024
Experience: 6+ Years
Role and Responsibilities- Design, develop, and maintain a data platform that is accurate, secure, available, and fast.
- Integrate and maintain a variety of data sources: multiple databases, APIs, SaaS, 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 teams to ensure seamless integration of product changes with the data platform.
- Collaborate with diverse stakeholder teams, understand their challenges, and provide data solutions to meet their goals.
- Perform data quality checks on data sources and automate quality control processes.
- 5+ years of experience as a Data Engineer.
- Hands-on experience with star/snowflake schema design, data modeling, data pipelining, and MLOps.
- Experience with Data Warehouse technologies (e.g., Snowflake, AWS Redshift).
- Expertise in AWS data pipelines (Lambda, AWS Glue, Step Functions, etc.).
- Experience in Fintech or Financial Services industry is an advantage.
- Proficiency in SQL and at least one major programming language like Python or Java.
- Experience with Data Analysis Tools such as Looker or Tableau.
- Good understanding of Pandas, Numpy, Scikit-learn, and Jupyter notebooks; familiarity with Git, GitHub, and Jira.
- Attention to detail to identify and resolve data quality issues proactively.
- Ability to simplify, automate tasks, and build reusable components using good judgment.
- End-to-end data platform support experience.
- Strong relationship-building skills with analysts, business, and engineering stakeholders.
- Ability to prioritize work, break down complex problems, and execute effectively.
- Familiarity with agile methodologies.
- Experience in the fintech industry.
- Eagerness to learn about the Private Equity/Venture Capital ecosystem and secondary markets.
- Mid-Senior level
- Full-time
- Information Technology
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