
Data Engineer
4 days ago
Key Responsibilities
- Design, develop, and maintain scalable data pipelines and architectures.
- Build and optimize ETL/ELT processes for structured and unstructured data.
- Work with stakeholders to understand business requirements and translate them into technical solutions.
- Ensure data quality, governance, and compliance across platforms.
- Optimize data workflows for performance and cost efficiency.
- Collaborate with data scientists, analysts, and engineering teams for seamless data integration.
- Monitor, troubleshoot, and improve existing data pipelines and systems.
- Stay updated with emerging data technologies, cloud solutions, and industry best practices.
Required Skills & Experience
- 9–10 years of professional experience in Data Engineering.
- Strong expertise in SQL, Python, and/or Scala.
- Proven experience with ETL/ELT development and data pipeline orchestration.
- Hands-on experience with big data technologies (Spark, Hadoop, Hive, Presto, etc.).
- Solid understanding of cloud platforms (AWS, Azure, or GCP) and cloud-native data tools.
Job Type: Contractual / Temporary
Pay: ₹20, ₹40,000.00 per month
Work Location: Remote
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