
Cloud Data Engineer
2 days ago
Cloud Data Engineer - Spark and AWS Specialist
Key Responsibilities:- Develop data pipelines for new projects using Apache Airflow or AWS Lambda.
- Enhance existing data pipelines to meet evolving business requirements.
- Work with the PM to deliver successful projects, provide estimation, scoping, and scheduling assistance.
- Manage build phase and quality assure code to ensure it meets the requirements and adheres to cloud architecture principles.
Technical Experience:
Must-Have:
- 7-9 years of IT experience with a strong focus on cloud technologies.
- 5+ years of experience working with AWS services.
- Associate Level and Professional Level AWS Certification is a plus.
- In-depth knowledge of AWS Services including S3, EC2, EMR, Serverless, Athena, AWS Glue, Lambda, Step Functions.
- Experience with Cloud Databases such as AWS Aurora, Singlestore, RedShift, Snowflake.
- Big Data skills in Hadoop, Hive, Spark, YARN.
- Programming languages including Scala, Python, Shell Scripts, PySpark.
- Strong SQL Skills.
- Orchestration Tools like Apache Airflow.
Qualifications:
- Bachelor's degree in computer science, engineering, or related field. Master's degree is a plus.
- Demonstrated continued learning through technical certifications or other methods.
Required Qualities:
- Hold strong technical knowledge and experience.
- Ability to research and deep dive into various technical fields.
- Self-motivated and focused on delivering outcomes.
- Excellent communication skills through speaking, writing, and client presentations.
- Ability to work in a self-organized and cross-functional team.
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