
Large Scale Data Developer
2 weeks ago
We are seeking a highly skilled professional with expertise in Big Data, Cloud, and Data Pipeline development.
The ideal candidate will have hands-on experience in designing, building, and optimizing large-scale data solutions.
They should be comfortable working in a collaborative environment and possess strong communication skills.
- Design, build, and maintain scalable data pipelines and data lake solutions.
- Develop and optimize applications using Scala (or Java/Python when required).
- Work extensively with Big Data technologies such as Spark, Databricks, Hadoop, and ADLS.
- Implement solutions on cloud platforms (preferably Azure; AWS/GCP experience also considered).
- Collaborate with cross-functional teams to ensure data quality, availability, and reliability.
- Integrate solutions with CI/CD pipelines and follow full SDLC best practices.
- Troubleshoot and optimize performance of large datasets and distributed systems.
The ideal candidate will have:
- Bachelors or Masters degree in Computer Science, Information Technology, or related field.
- 6+ years of experience in software/data engineering and solution delivery.
- Proficiency in Scala (with exposure to Java/Python).
- Strong expertise in Big Data stack - Spark/Databricks, Hadoop/ADLS.
- Solid understanding of cloud platforms (Azure preferred, AWS/GCP acceptable).
- Experience with CI/CD, version control, and DevOps practices.
- Proven ability to work with large-scale data processing and pipeline development.
This role offers:
- A high-priority project with strong growth opportunities.
- The opportunity to work with cutting-edge Big Data & Cloud technologies.
- A collaborative work culture with a hybrid work model.
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