Bangalore, Karnataka, India
Information Technology
Full-Time
iKonsult Recruitment Solutions
Overview
This role requires strong expertise in data warehousing, ETL processes, and cloud-based data solutions.
Key Responsibilities:
- Design, build, and maintain robust and scalable data pipelines for data ingestion, transformation, and loading from various sources into our data warehouse.
- Develop and optimize ETL/ELT processes using appropriate tools and technologies.
- Work extensively with PostgreSQL for data storage, querying, and optimization.
- Manage data infrastructure on AWS EC2 and leverage other AWS services (e.g., S3, RDS) for data storage and processing.
- Ensure data quality, consistency, and reliability across all data pipelines and datasets.
- Collaborate with data scientists, analysts, and product teams to understand data requirements and deliver actionable insights.
- Implement monitoring and alerting for data pipelines to ensure data integrity and system health.
- Troubleshoot and resolve data-related issues, optimizing queries and data models for performance.
- Contribute to data governance, security, and compliance best practices.
- (Good to have): Experience with serverless functions (AWS Lambda/Google Cloud Functions) for event-driven data processing.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related quantitative field.
- 3-4 years of professional experience in data engineering.
- Strong proficiency in SQL, especially with PostgreSQL.
- Proven experience building and maintaining data pipelines.
- Hands-on experience with AWS services, particularly EC2, and familiarity with other relevant services (S3, RDS, Glue, Redshift etc.).
- Experience with scripting languages (e.g., Python, Node.js) for data manipulation and automation.
- Understanding of data warehousing concepts, data modeling, and ETL/ELT processes.
- Experience with big data technologies (e.g., Apache Spark, Hadoop) is a plus.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
- (Good to have): Experience with AWS Lambda or Google Cloud Functions for data processing.
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