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- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- Demonstrated leadership experience leading crossfunctional teams in the design and implementation of complex data solutions.
- Experience in a data engineering role with strong understanding of graph databases, streaming and batch analytics, cloud data platforms, data visualizations and big data processing.
- Deep understanding of graph database concepts and technologies (e.g., Neo4j, Amazon Neptune).
- Proficiency in streaming analytics frameworks such as Apache Kafka, Apache Flink, or AWS Kinesis, Google Pub/Sub.
- Deep understanding of Data lake solutions and Data warehouse solutions like Google BigQuery, Amazon Redshift, etc.
- Handson experience with cloud platforms and services (e.g., AWS) and big data technologies (e.g., Hadoop, Spark, HBase).
- Strong programming skills in languages such as Python, Java, or Scala.
- Strong analytical and problemsolving skills with a strategic mindset and a track record of driving business impact through datadriven solutions.
- Stay abreast of emerging technologies, industry trends, and best practices in data engineering, and drive innovation through the adoption of new tools and techniques.
- Outstanding communication and interpersonal skills with the ability to collaborate effectively across teams and departments.
Data Engineering Lead - Anywhere in India/Multiple Locations - VAST Consulting
VAST Consulting
Anywhere in India/Multiple Locations
2 weeks ago
Description
Job Description :
Should have 8+ years of working experience.