Cloud Data Engineer
7 days ago
Cigres Technologies Private Limited is seeking a highly skilled Cloud Data Engineer to join our team. In this role, you will be responsible for designing, developing, and implementing scalable data pipelines and data integration solutions on AWS cloud infrastructure.
The ideal candidate will have strong experience working with AWS services, particularly Redshift, S3, Glue, Lambda, Kinesis, and Athena. They should also be proficient in Python, Java, or Scala for data engineering tasks and have hands-on experience building and optimizing ETL pipelines using tools such as AWS Glue, Apache Spark, Apache Airflow, or other similar technologies.
Responsibilities:
- Design, develop, and implement scalable data pipelines and data integration solutions on AWS cloud infrastructure
- Collaborate with data scientists, analysts, and stakeholders to define and optimize data flows
- Build efficient ETL processes to handle large datasets from multiple sources and transform them into actionable insights
- Manage and optimize data storage solutions within AWS, ensuring high availability, reliability, and cost-effectiveness
- Write and optimize SQL queries for data extraction and reporting, as well as develop data models to support business needs
- Work with AWS tools (such as AWS Glue, Redshift, Athena, Lambda, etc.) to ensure seamless data integration and processing
- Monitor, troubleshoot, and resolve performance issues related to data pipelines and infrastructure
- Implement best practices for data security, governance, and compliance on AWS
We are looking for someone who has excellent communication skills, a strong work ethic, and the ability to adapt to changing priorities.
Salary: ₹ 1,200,000 - ₹ 1,500,000 per annum
Benefits: Comprehensive health insurance, flexible work hours, and opportunities for professional growth and development
Required Skills and Qualifications:
- Strong experience working with AWS services, particularly Redshift, S3, Glue, Lambda, Kinesis, and Athena
- Proficiency in Python, Java, or Scala for data engineering tasks
- Hands-on experience building and optimizing ETL pipelines using tools such as AWS Glue, Apache Spark, Apache Airflow, or other similar technologies
- Knowledge of data warehousing concepts and experience in building or maintaining a Redshift cluster or similar data warehousing platforms
- Strong proficiency in writing efficient and optimized SQL queries for data extraction and transformation
- Familiarity with tools like Apache Hadoop, Kafka, and Apache Spark for managing large datasets
- Experience in designing data models to support reporting and analytical needs
- Version control experience using Git to manage and collaborate on code
- Knowledge of AWS security practices, IAM roles, data encryption, and other best practices for maintaining data privacy and compliance
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