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About Durapid Technologies
Durapid Technologies is a Microsoft Data & AI Solutions Partner and Databricks partner delivering Data Engineering, AI/ML, and Enterprise Software solutions to clients across India, the USA, the UK, the Middle East, and Singapore.
About The Role
We’re looking for an AWS Data Engineer with 5+ years of experience strong hands-on expertise in PySpark, SQL, and AWS Redshift to design, build, and optimize scalable data pipelines and cloud data platforms. You’ll work closely with data architects, data scientists, analysts, and business stakeholders to deliver reliable, high-performance data solutions for analytics, reporting, and AI/ML initiatives.
Key Responsibilities
Design, develop, and maintain scalable data pipelines using PySpark and AWS services
Build and optimize ETL/ELT workflows for structured and unstructured data
Develop and manage enterprise data warehouses on AWS Redshift
Write complex, optimized SQL for extraction, transformation, and analysis
Ingest data from APIs, databases, flat files, and streaming sources
Perform data cleansing, validation, and quality checks
Tune Redshift schemas, tables, and queries for performance and scale
Apply data governance, security, and compliance best practices
Monitor, troubleshoot, and resolve pipeline and performance issues
Support production deployments and maintain technical documentation
Must-Have Skills
AWS Redshift (hands-on, mandatory)
Strong PySpark and advanced SQL with performance optimization
AWS S3 and AWS Glue
ETL/ELT pipeline development, data modeling, and data warehousing
Willingness to work from the Chennai office 5 days a week
Good-to-Have Skills
AWS Lambda, IAM, CloudWatch, Step Functions, Secrets Manager
PostgreSQL, MySQL; SQL Server
Git/GitHub/Bitbucket, CI/CD, Shell and Python scripting
Data Lake / Lakehouse architecture; Databricks or Amazon EMR
Apache Airflow / MWAA, Kafka or real-time streaming
Terraform or CloudFormation
Snowflake or other cloud data warehouses
Experience supporting BI, analytics, or ML workloads
Qualifications
Bachelor’s or Master’s in Computer Science, Engineering, IT, or a related field
5+ years in Data Engineering, preferably on AWS
Proven track record building large-scale pipelines and warehouse solutions
Strong problem-solving, communication, and stakeholder management skills
Skills: data,data engineering,aws
Work arrangement
No
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