
Lead Big Data Solutions Architect
2 weeks ago
As a Data Engineer, you will be instrumental in building and maintaining scalable data pipelines and infrastructure. This is an exciting opportunity to work on high-impact projects that shape the future of the industry.
Required Skills and Qualifications
Our ideal candidate has 2–7 years of hands-on experience as a Data Engineer. They possess a graduate degree in Computer Science, IT, Statistics, or a related quantitative field.
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- Advanced knowledge of SQL and relational databases with exposure to multiple database technologies\
- Proven experience building and optimizing big data pipelines, architectures, and datasets\
- Strong analytical skills, especially in handling unstructured datasets\
- Working knowledge of cloud-based big data services (AWS, Azure, or GCP)\
- Familiarity with big data tools such as Hadoop, Spark, Kafka, etc.\
- Experience with ETL tools like Informatica, DataStage, or Azure Data Factory\
- Knowledge of stream-processing systems like Storm or Spark Streaming\
- Proficiency in scripting/programming languages such as Python, Java, or Scala\
- Excellent communication skills and the ability to thrive in cross-functional teams\
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