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Amdocs

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0-2 Years
a month ago
220 Viewed
32 Applied

Job Description

Requirements:

Bachelor's or Master's degree in Computer Science, Data Science, or a related field.

Proven experience as a Cloud Data Engineer with hands-on experience in cloud platforms (AWS, Azure, GCP).

Strong proficiency in SQL and experience with relational and NoSQL databases.

Proven experience with Datawarehouse, SQL query optimization and data integration techniques.

Hands-on expertise is ETL pipeline design and implementation using tools like Azure Data factory, Apache Airflow, AWS Kinesis Data Streams, GCP Data fusion.

Proven hands-on experience in utilizing the Databricks platform on Azure, specifically adept in establishing and overseeing delta lakes, proficiently managing Databricks jobs, and adept in external and managed table management utilizing Hive and the Unity Catalog.

Hands-on experience with programming languages, particularly Python and Spark.

Hands-on expertise in data integration services on cloud platform e.g. AWS Glue Data Catalog, Glue Job, step function, Data lake, Azure data factory.

Hands-on experience in any data quality tools e.g. Informatics, IBM Infosphere, Talend.

Hands-on experience in performance monitoring and tuning for data processing and analytics system using tools such as Apachae Spark UI, SQL profiler, Grafana, Prometheus, Azure monitor, Apache NiFi etc.

Solid understanding of data analysis techniques and tools such as power BI, Tableau, Quicksight.

Experience in data modelling and database design using tools e.g. ERWin, Microsoft Visio, Lucidchart.

Familiarity with big data technologies and frameworks is a plus.

Excellent problem-solving and communication skills.

Ability to work collaboratively in a dynamic and fast-paced environment.

Additional Skillset for Senior Data Engineer:

- Familiarity with Apache Airflow and the creation of Directed Acyclic Graphs (DAGs) within Airflow.

- Knowledge of DBT (Data Build Tool) for data transformation.

- An understanding of concepts like DataMesh, DataVirtualization.

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