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2 Days ago

AWS Data Engineer

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Hyderabad, Telangana, India
Information Technology
Other
CrossAsyst

Overview

Role: AWS Data Engineer


Experience:
7 to 11 Years


Remote Opportunity


Shift:
12 PM to 9 PM


Primary Skills:
Python, Pyspark, SQL, AWS


Responsibilities:

  • Data Architecture: Develop and maintain the overall data architecture, ensuring scalability, performance, and data quality.
  • AWS Data Services: Expertise in using AWS data services such as AWS Glue, S3, SNS, SES, Dynamo DB, Redshift, Cloud formation, Cloud watch, IAM, DMS, Event bridge scheduler etc.
  • Data Warehousing: Design and implement data warehouses on AWS, leveraging AWS Redshift or other suitable options.
  • Data Lakes: Build and manage data lakes on AWS using AWS S3 and other relevant services.
  • Data Pipelines: Design and develop efficient data pipelines to extract, transform, and load data from various sources.
  • Data Quality: Implement data quality frameworks and best practices to ensure data accuracy, completeness, and consistency.
  • Cloud Optimization: Optimize data engineering solutions for performance, cost-efficiency, and scalability on the AWS cloud.
  • Team Leadership: Mentor and guide data engineers, ensuring they adhere to best practices and meet project deadlines.


Qualifications:

  • Bachelors degree in computer science, Engineering, or a related field.
  • 6-7 years of experience in data engineering roles, with a focus on AWS cloud platforms.
  • Strong understanding of data warehousing and data lake concepts.
  • Proficiency in SQL and at least one programming language (Python/Pyspark).
  • Good to have - Experience with any big data technologies like Hadoop, Spark, and Kafka.
  • Knowledge of data modeling and data quality best practices.
  • Excellent problem-solving, analytical, and communication skills.
  • Ability to work independently and as part of a team.
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