
🛠️ Key Responsibilities
- Design, build, and maintain scalable data pipelines using Python and Apache Spark (PySpark or Scala APIs)
- Develop and optimize ETL processes for batch and real-time data ingestion
- Collaborate with data scientists, analysts, and DevOps teams to support data-driven solutions
- Ensure data quality, integrity, and governance across all stages of the data lifecycle
- Implement data validation, monitoring, and alerting mechanisms for production pipelines
- Work with cloud platforms (AWS, GCP, or Azure) and tools like Airflow, Kafka, and Delta Lake
- Participate in code reviews, performance tuning, and documentation
🎓 Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
- 3–6 years of experience in data engineering with a focus on Python and Spark
- Experience with distributed computing and handling large-scale datasets (10TB+)
- Familiarity with data security, PII handling, and compliance standards is a plus

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ROLE - HR Executive
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Swazei is a US-based remote software product experience company headquartered in San Diego, California. We are a bunch of technology enthusiasts from all over the world. We are called Lunavo because we believe that it is possible to bring the Moon to the Earth. We believe in making things possible. We are passionate about executing products with agile lean processes that work to create product experiences that drive results. We have created an ecosystem of talent spread across geographies and agile design and development processes to create software that delivers value for our clients. (www.swazei.com).
Joining: IMMEDIATE
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Job Description
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