Senior Data Engineer

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Job Description


Work with stakeholders to understand the data requirements to design, develop, and maintain complex ETL processes.

  • Create the data integration and data diagram documentation.

  • Lead the data validation, UAT and regression test for new data asset creation.

  • Create and maintain data models, including schema design and optimization.

  • Create and manage data pipelines that automate the flow of data, ensuring data quality and consistency.

  • Qualifications and Skills:

    • Strong knowledge on Python and Pyspark
    • Expectation is to have ability to write Pyspark scripts for developing data workflows.
    • Strong knowledge on SQL, Hadoop, Hive, Azure, Databricks and Greenplum
    • Expectation is to write SQL to query metadata and tables from different data management system such as, Oracle, Hive, Databricks and Greenplum.
    • Familiarity with big data technologies like Hadoop, Spark, and distributed computing frameworks.
    • Expectation is to use Hue and run Hive SQL queries, schedule Apache Oozie jobs to automate the data workflows.
    • Good working experience of communicating with the stakeholders and collaborate effectively with the business team for data testing.
    • Expectation is to have strong problem-solving and troubleshooting skills.
    • Expectation is to establish comprehensive data quality test cases, procedures and implement automated data validation processes.
    • Degree in Data Science, Statistics, Computer Science or other related fields or an equivalent combination of education and experience.
    • 5-7 years of experience in Data Engineer.
    • Proficiency in programming languages commonly used in data engineering, such as Python, Pyspark, SQL.
    • Experience in Azure cloud computing platform, such as developing ETL processes using Azure Data Factory, big data processing and analytics with Azure Databricks.
    • Strong communication, problem solving and analytical skills with the ability to do time management and multi-tasking with attention to detail and accuracy.

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