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2 weeks ago
At the heart of our data infrastructure lies a critical need for talented professionals skilled in harnessing the power of big data technologies.
Job DescriptionWe are seeking an experienced Data Engineer to design, develop, and maintain large-scale data processing systems using cutting-edge technologies such as Azure/AWS Databricks, Python/Scala/Spark/PySpark, and HIVE/HBase/Impala/Parquet.
Key Responsibilities- Communication and Collaboration: Interact effectively with customers and internal stakeholders, requiring strong communication skills and the ability to understand business needs.
- Data System Design and Development: Design, develop, test, and maintain large-scale data processing systems using big data technologies.
- Technical Skills and Tools: Develop strong SQL and RDBMS skills and experience with version control systems like GitHub/Bitbucket and CI/CD tools like Jenkins/Bamboo.
- Delta Live Tables (DLT): Knowledge of DLT is an added advantage.
- Cloud Experience: Experience with Azure or AWS Databricks.
- Big Data Technologies: Familiarity with HIVE, HBase, Impala, and Parquet.
- Programming Skills: Proficiency in Python, Scala, Spark, or PySpark.
- 5-15 years of experience in data engineering.
- Strong understanding of software development principles and practices.
- Excellent problem-solving and analytical skills.
The ideal candidate will possess a strong passion for working with big data technologies and a desire to learn and grow with our organization.
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