AWS Data Engineer _ Remote opportunity

Job Description

ROLE : AWS DATA ENGINEER

SHIFT : 12:00 PM to 9:00 PM

LOCATION : REMOTE

Primary Skills: Python, Pyspark, SQL, AWS

JD 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.

Interested candidates share your resume at [email protected] along with the below mentioned details :

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