AWS Data Engineer
- Posted a month ago
- Be among the first 20 applicants
Job Description
We're Growing Our Data Engineering Team!
Join us at our Pan-India Walk-In Drive this Saturday, 23rd August and be part of our mission to build world-class cloud-native data solutions.
Experience: 7 to 14 years (only relevant profiles will be considered)
Locations: Hyderabad | Bangalore | Pune | Chennai
Work Timing: 2:00 PM – 11:00 PM
Work Mode: FTE-Hybrid
Must-Have Skills
- PySpark – advanced performance optimization
- AWS Services – Redshift, Glue, Athena, Lambda, DMS, RDS, CloudFormation
- SQL – strong query-writing and optimization
- ETL Development – pipelines for structured & unstructured data
- Python – robust coding skills
- Data Modeling – scalable and performance-driven design
Key Responsibilities
- Design, build, and optimize ETL pipelines on AWS
- Develop and optimize data models for performance & efficiency
- Write complex SQL queries for analytics and reporting
- Collaborate with stakeholders to define and deliver data-driven solutions
- Implement and maintain AWS-based data architectures
- Ensure best practices in performance tuning, cost optimization, and scalability
- Work in Agile teams to deliver business-critical projects
Ideal Candidate
- 7–14 years of experience in AWS Data Engineering
- Hands-on with big data & cloud-native ecosystems
- Strong analytical and problem-solving skills
- Comfortable working in a hybrid environment
Apply now or walk in directly at our offices across the mentioned locations.
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More Info
About Company
Skills:
Python Scripting, Sql, AWS Core Services S3 Lambda IAM, Query Database Performance Tuning, ETL Integrations Data Transformations
Skills:
.NET, Selenium, Databricks, Sql, Java, Tensorflow, Rust, React, MLops, Angular, Pytorch, Nosql, Terraform, Big Data, Nodejs, Bdd, Cucumber, Kubernetes, Python, Docker, Gherkin, LLMOps, LangFuse, LangChain, LangGraph, Playwright, LangSmith
Skills:
Spark, Data Modeling, Big Data Technologies, Java, Aws S3, Python, Scala, Hadoop, data warehousing solutions, ETL processes
Skills:
Aws Redshift, Sql, cloud computing concepts, ETL ELT processes, AWS ecosystem, data modeling and schema design, data warehousing concepts and best practices
Skills:
Spark, Performance Tuning, Pyspark, Data Modeling, Sql, Python, Airflow, AWS Step Functions, Amazon S3 Data Lake, Amazon Redshift Athena, AWS data services, Optimization, AWS Glue ETL ELT Catalog Crawlers, Lambda EMR