Data Engineer
2 weeks ago
Job Description :
- 5-10 years of experience in Solution, Design and Development of Cloud based data models, ETL Pipelines and infrastructure for reporting, analytics, and data science.
- Experience working with Spark, Hive, HDFS, MR, Apache Kafka/AWS Kinesis.
- Experience with version control tools (Git, Subversion).
- Experience using automated build systems (CI/CD).
- Experience working in different programming languages (Java, python, Scala).
- Experience working with both structured and unstructured data.
- Strong proficiency with SQL and its variation among popular databases.
- Ability to create the data model from scratch.
- Experience with some of the modern relational databases.
- Skilled at optimizing large, complicated SQL statements.
- Knowledge of best practices when dealing with relational databases.
- Capable of configuring popular database engines and orchestrating clusters as necessary.
- Ability to plan resource requirements from high level specifications.
- Capable of troubleshooting common database issues.
- Experience of Data Structures and algorithms.
- Knowledge of different databases technologies (Relational, NoSQL, Graph, Document, Key-Value, Time Series, etc.).
- Knowledge of ML model deployment.
- Knowledge of Cloud based platforms (AWS).
- Knowledge of TDD/BDD.
- Strong desire to improve upon their skills in software development, frameworks, and technologies.
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