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We are looking for senior data engineers to join our team. You will use various methods to transform raw data into useful data systems. For example, you’ll create algorithms and conduct statistical analysis. Overall, you’ll strive for efficiency by aligning data systems with business goals. To succeed in this position, you should have strong analytical skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages and knowledge of machine learning methods.
Job Responsibility:
Use various methods to transform raw data into useful data systems
Create algorithms and conduct statistical analysis
Strive for efficiency by aligning data systems with business goals
Requirements:
Participate in the customer’s system design meetings and collect the functional/technical requirements
Build up data pipelines for consumption by the data science team
Skillful in ETL process and tools
Clear understanding and experience with Python and PySpark or Spark and SCALA, with HIVE, Airflow, Impala, and Hadoop and RDBMS architecture
Experience in writing Python programs and SQL queries
Experience in SQL Query tuning
Experienced in Shell Scripting (Unix/Linux)
Build and maintain data pipelines in Spark/Pyspark with SQL and Python or SCALA
Suggest and implement best practices in data integration
Guide the QA team in defining system integration tests as needed
Split the planned deliverables into tasks and assign them to the team
Needs to Maintain/Deploy the ETL code and follow the Agile methodology
Needs to work on optimization wherever applicable
Good oral, written and presentation skills
Nice to have:
Knowledge of Cloud (Azure/AWS/GCP, etc..) technologies is additional
Good to have knowledge of Kubernetes, CI/CD concepts, Apache Kafka