
Senior Data Pipeline Specialist
1 week ago
Job Summary:
We are seeking a highly motivated and experienced data engineer to create robust, scalable data pipelines that meet our business needs.
Main Responsibilities:
- Design, develop, and maintain efficient data ingestion, transformation, and storage solutions using cloud services such as GCP, AWS, or Azure.
- Implement data quality assurance, integrity, and security across all data systems.
- Monitor and troubleshoot data pipelines to identify and resolve issues, ensuring high uptime and performance.
- Collaborate with data scientists and stakeholders to understand data requirements.
- Optimize data pipelines for performance, reliability, and cost-effectiveness.
- Create and maintain clear documentation of data flows, system architecture, and operational procedures.
Key Qualifications:
- B.Tech. / M. Tech. degree or higher educational qualification.
- At least 2 years of experience in data engineering or related roles.
- Must have worked in production deployments, including managing scalable data pipelines processing high-volume, real-time data.
- Proficiency with cloud services such as GCP, AWS, or Azure is required.
- Hands-on experience with Distributed Stream Processing Technology ecosystem, including Apache Kafka, Flink or Beam etc.
- Strong programming skills in languages such as Python, Scala, or NodeJS.
- Experience with SQL, NoSQL & especially Timeseries databases.
- Experience with parallel programming & distributed data processing.
- Solid understanding of data warehousing concepts and technologies.
- Ability to design and implement data architectures.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
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