30 days ago
Hyderābād, IndiaMid Level
Responsibilities
- Design, implement, and support large-scale data pipelines and ETL processes using AWS technologies.
- Lead complex data architecture design with emphasis on scalability, security, and business alignment.
- Build and maintain scalable pipelines and curated datasets optimized for AI consumption and self-service analytics.
- Identify and resolve performance bottlenecks, architectural deficiencies, and other system-wide data challenges.
- Tune application and query performance using profiling tools and SQL.
- Pilot advances in data technologies and design architectures that scale with increasing data volumes.
- Automate and simplify reporting, analysis, and self-service dataset support processes.
- Ensure data solutions are auditable, accessible, maintainable, validated, and well documented.
- Collaborate with data engineers, business intelligence engineers, product managers, finance stakeholders, and business partners.
Requirements
- At least 5 years of data engineering experience.
- At least 5 years of SQL experience.
- Experience with data modeling, data warehousing, and ETL pipeline development.
- Experience with at least one modern scripting or programming language such as Python, Java, Scala, or NodeJS.
- Experience manipulating, processing, and extracting value from large datasets as a data engineer or related professional.
- Bachelor's degree or foreign equivalent in computer science, engineering, analytics, mathematics, statistics, information technology, or an equivalent field.
- Preferred experience with AWS Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM roles and permissions.
- Preferred experience with non-relational databases and data stores, including object, document, key-value, graph, and column-family databases.
- Preferred knowledge of software engineering practices including software architecture, code reviews, source control, continuous deployments, testing, and operational excellence.
- Preferred experience building and operating highly available distributed systems for large-scale data extraction, ingestion, and processing.
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.