Big Data Automation Engineer
17 hours ago
We are seeking a highly skilled Big Data Automation Engineer to join our team at PubMatic. As a key member of our engineering team, you will be responsible for designing, developing, and maintaining automation frameworks for big data workflows.
Responsibilities:
- Designing and implementing automation frameworks using Python to automate big data workflows such as ingestion, aggregation, and ETL processing.
- Testing big data ingestion and aggregation flows using Spark shell and related queries.
- Debugging and troubleshooting issues within the big data ecosystem.
- Setting up the Big Data platform and Hadoop ecosystem for testing.
Requirements
To succeed in this role, you should have:
- Good hands-on experience with Unix/Linux.
- Good hands-on experience in writing Python codes.
- Understanding of QA methodologies.
- Experience in Big Data platform & data analytics testing is an advantage.
- Knowledge on distributed systems and technologies like Hadoop and Spark.
Qualifications
The ideal candidate should have 1-3 years of experience working as SDET and doing meaningful automation. You should have good programming skills, with Python being preferred. Additionally, you should have hands-on experience in automating backend applications (e.g., database, REST APIs) and knowledge of relational databases and SQL. Good debugging skills, working experience in Linux/Unix environment, and good understanding of testing methodologies are also essential. Quick learner, good team member with positive attitude, and good verbal and written communication skills are also required.
Salary
The estimated salary for this position is $120,000 - $180,000 per year, depending on location and experience.
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