21 days ago
Hyderābād, IndiaMid Level
Responsibilities
- Build end-to-end ETL and event-streaming data pipelines from diverse sources and systems.
- Create datasets for analytics, reporting, and machine learning use cases.
- Evaluate and implement big-data technologies to optimize processing of extremely large datasets.
- Analyze business processes, logical data models, and relational database implementations.
- Write high-performing, optimized SQL queries.
- Execute research projects and generate practical results and recommendations.
- Design automated data processing solutions and data quality controls.
- Partner with the business to identify strategic data infrastructure opportunities.
Requirements
- Bachelor’s degree.
- At least 3 years of data engineering experience.
- At least 3 years of SQL experience.
- Experience with data modeling, data warehousing, and ETL pipeline development.
- Experience with at least one modern scripting or programming language, including Python, Java, Scala, or NodeJS.
- Experience with big-data technologies such as Hadoop, Hive, Spark, or EMR.
- Experience with non-relational databases or data stores, including object storage, document stores, key-value stores, graph databases, or column-family databases.
- Preferred: master’s degree in computer science, engineering, analytics, mathematics, statistics, or IT, or equivalent.
- Preferred: 5+ years of data engineering experience.
- Preferred: experience with AWS technologies including Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM roles and permissions.
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.