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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