Role: AWS Data Engineer
Experience: Minimum 4+ years
Location: Remote

Summary :

We are seeking a skilled AWS Data Engineer to join our dynamic team. As an AWS Data Engineer, you will be responsible for designing, building, and maintaining data pipelines and systems on the AWS cloud. You will work closely with data scientists, data analysts, and other engineering teams to ensure that our data infrastructure is optimized for scalability, reliability, and performance. This role requires expertise in AWS cloud services and experience with large-scale data processing frameworks.

Preferred Skills and Qualifications:

· Proficient in AWS Cloud services and infrastructure.
· Robust experience with Databricks and PySpark.
· Extensive knowledge of data gathering ingestion, manipulation, orchestration, and optimization.
· Proven track record of leading multi-shore teams on sizable cloud and data projects.
· Excellent communication, presentation, and client interaction skills.
· Ability to work effectively in a fast-paced, dynamic environment with multiple stakeholders.





Key Responsibilities:

· Design, develop, and maintain scalable data pipelines and ETL processes using AWS services, Databricks, and PySpark.
· Integrate and manage data from multiple sources, ensuring data quality and integrity.
· Optimize data workflows for performance and cost-efficiency on AWS Cloud.
Work with AWS services such as Redshift, Aurora, Glue, Lambda, and other AWS data-related technologies.
· Implement and manage data warehousing solutions and cloud data storage.
· Develop RESTful APIs to support data access and manipulation.
· Utilize ETL tools and technologies for data extraction, transformation, and loading.
· Leverage Spark and Python for data processing and analysis.
· Participate in Agile ceremonies and contribute to sprint planning, retrospectives, and daily stand-ups.
· Collaborate with cross-functional teams, including data scientists, analysts, and stakeholders, to deliver high-qual

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