Data Engineer
3 days ago
We are seeking a highly skilled Data Engineer to join our team at Webologix Ltd. as an AWS Data Engineer.
About the RoleThis is a full-time position located in Kolkata, IN. We require candidates with 4+ to 10+ years of experience in data engineering and a strong background in AWS technologies.
Key Responsibilities- Data Pipeline Development: Design and implement robust data pipelines using AWS services such as S3, Glue, Lambda, and Step Functions to facilitate ETL (Extract, Transform, Load) processes and ensure data integrity and accessibility.
- Data Storage Management: Utilize Amazon S3 for scalable and secure data storage. Optimize data storage solutions and manage data lifecycle policies to ensure efficient data retrieval and cost management.
- Data Transformation and Processing: Develop and execute data transformation workflows using AWS Glue and PySpark. Ensure data is processed efficiently and accurately to meet business requirements.
- Database Management: Manage and optimize relational and NoSQL databases using Amazon RDS and DynamoDB. Implement data models and design schemas to support business applications and reporting needs.
- Scripting and Automation: Write Python scripts to automate data processing tasks, integrate data from various sources, and develop custom solutions for data manipulation and analysis.
- SQL and PL/SQL Development: Utilize SQL for querying relational databases and performing complex data manipulations. Apply PL/SQL for advanced database procedures and optimizations in Oracle environments.
- Data Quality and Performance: Monitor and maintain data quality, performance, and security. Implement best practices for data management and troubleshoot issues to ensure reliable data operations.
- Collaboration and Documentation: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and provide technical expertise. Document data pipelines, processes, and architecture to support ongoing maintenance and scalability.
- Proven experience as a Data Engineer or similar role with a focus on AWS technologies.
- Strong proficiency in AWS services including S3, Lambda, Glue, Step Functions, RDS, and DynamoDB.
- Expertise in Python and PySpark for data processing and automation tasks.
- Solid experience with SQL and PL/SQL for querying and managing relational databases.
- Demonstrated ability to design and implement data pipelines and workflows.
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration abilities.
Bachelor's degree in computer science, Information Technology, or a related field.
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