AWS Data Engineer

4 months ago

india Webologix Ltd INC Full time

Job Position: AWS Data Engineer

Job Type: Full-Time

Location: Kolkata, IN

Experience: - 4+ to 10+ Years

Must Have: -Amazon S3, Lambda, Glue, AWS Step Function, RDS, DynamoDB, Python, PySpark, SQL, PL/SQL.


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.


Required Skills and Qualifications:

  • 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.


Qualifications:

Bachelor’s degree in computer science, Information Technology, or a related field.

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