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Data Engineer
2 weeks ago
Rohini IT Consulting LLP seeks a skilled Cloud-Based Data Processing Specialist to join our team. As a key member of our data engineering group, you will be responsible for designing and implementing scalable data processing architectures using cloud-based services.
The ideal candidate will have 6 years of experience in data engineering, ETL, and cloud-based data processing. You will be responsible for developing and optimizing ETL workflows, designing SQL queries for data extraction and transformation, and working with JSON and REST APIs for data integration and automation.
Key Responsibilities:
- Develop and optimize ETL workflows using Python, Pandas, and PySpark
- Design and implement SQL queries for data extraction, transformation, and optimization
- Work with JSON and REST APIs for data integration and automation
- Manage and optimize Amazon S3 storage, including partitioning and lifecycle policies
- Utilize AWS Athena for SQL-based querying, performance tuning, and cost optimization
- Develop and maintain AWS Lambda functions for serverless processing
- Manage databases using Amazon RDS and Amazon DynamoDB, ensuring performance and scalability
- Orchestrate workflows with AWS Step Functions for efficient automation
- Implement Infrastructure as Code (IaC) using AWS CloudFormation for resource provisioning
- Set up AWS Data Pipelines for CI/CD deployment of data workflows
Required Skills:
- Programming & Scripting: Python (ETL, Automation, REST API Integration)
- Databases: SQL (Athena / RDS), Query Optimization, Schema Design
- Big Data & Processing: Pandas, PySpark (Data Transformation, Aggregation)
- Cloud & Storage: AWS (S3, Athena, RDS, DynamoDB, Step Functions, CloudFormation, Lambda, Data Pipelines)
Qualifications:
- Bachelor's degree in Data Science, Statistics, Computer Science, or a related field
- 6 years of experience in data engineering, ETL, and cloud-based data processing