
AWS Data Engineers
2 weeks ago
Big Data, AWS, Redshift, Snowflake, SQL, Python, PySpark
DescriptionGSPANN 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, 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 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 in identifying and resolving data quality issues.
- Ability to simplify, automate tasks, and build reusable components.
- End-to-end data platform support experience.
- Strong relationship-building skills with analysts, business, and engineering stakeholders.
- Ability to prioritize, break down ambiguous problems, and execute tasks effectively.
- Familiarity with agile methodologies.
- Experience in the fintech industry.
- Interest or eagerness to learn about the Private Equity/Venture Capital ecosystem and secondary markets.
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