2 months ago
Bengaluru, IndiaEntry Level
Responsibilities
- Design and operate scalable, cost-effective AWS data infrastructure and pipelines.
- Define logical data models and architectures that support Paragon’s growth and worldwide use cases.
- Partner with business owners and technical leaders to gather requirements and deliver data solutions.
- Drive standards for system efficiency, data availability, consistency, compliance, and operational efficiency.
- Enable data exploration on large datasets and implement access controls for stand-alone datasets.
- Build automation and contribute across the data engineering lifecycle, including design, development, testing, and maintenance.
Requirements
- At least 1 year of data engineering experience.
- Experience with SQL, data modeling, data warehousing, and ETL pipeline development.
- Experience with a query language such as SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, or Scala.
- Experience with a scripting language such as Python or KornShell.
- Bachelor’s degree or higher in Computer Science, Computer Engineering, Information Management, Information Systems, or a related discipline.
- Preferred experience with Hadoop, Hive, Spark, EMR, ETL tools such as Informatica, ODI, SSIS, BODI, or Datastage, and AWS infrastructure.
Benefits
- Inclusive culture and workplace accommodation support are available during the application, hiring, interview, and onboarding processes.
Tech Stack
Categories
Data Engineering
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.