High-Performance Big Data Engineer with Cloud Expertise
2 days ago
We are seeking a highly skilled Big Data Engineer to join our team at Impetus. As a key member of our data engineering group, you will design and implement scalable, high-performance big data pipelines using cutting-edge technologies such as PySpark, Hadoop, and Hive.
Key Responsibilities:
- Develop efficient ETL pipelines that meet business requirements and adhere to industry best practices.
- Perform integration testing of various pipeline configurations in AWS environments.
- Provide estimates for development, testing, and deployment across different environments.
- Participate in code reviews to ensure compliance with best practices and maintain high-quality applications.
Requirements:
- 4-5 years of hands-on experience with big data technologies, including PySpark, Hadoop, and Hive.
- Excellent skills in Python and Bash scripting.
- Familiarity with cloud-based big data technologies, such as Amazon Glue, EMR, RedShift, S3, and Kinesis.
- Strong analytical, problem-solving, and research skills, with the ability to think outside the box.
- Effective communication, presentation, and interpersonal skills.
Preferred Qualifications:
- Experience with Airflow and job scheduler tools.
- Knowledge of workload migration from on-premise to cloud and cloud-to-cloud migrations.
About the Role:
This is an exciting opportunity to work with a talented team of engineers and contribute to the development of innovative big data solutions. If you are passionate about big data engineering and have a strong desire to learn and grow, we encourage you to apply.
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