I am seeking a talented Data Engineer with 3-5 years of experience in data engineering, with a knowledge in cloud-native environments. The ideal candidate will have a strong background in building data pipelines, performing ETL processes, and working with relational databases. A continuous learning mindset is crucial for delivering high-quality engineering solutions.
Location: West, onsite
Key Responsibilities:
- Design, develop, and maintain scalable, cloud-native data pipelines.
- Execute ETL operations to ensure accurate and accessible data.
- Optimize IT service performance by analyzing user needs and refining processes.
- Collaborate with cross-functional teams to deliver robust cloud-native solutions.
Qualifications:
- 3-5 years of experience in data engineering.
- Strong expertise in cloud-native environments and ETL processes.
- Proficiency in RDBMS and Big Data technologies. (Hadoop, Spark, Redis etc.)
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) is a plus.
- Strong problem-solving skills and a commitment to continuous learning.
Interview process: 2-3 rounds, estimated 1.5-2 months.
