Sr. Data engineer (ETL Pipeline Architecture)
Posted on :
15-10-2022
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Job Description
- Bachelor's degree required; Computer Science, MIS, or Engineering preferred
- 7+ years of experience working in data engineering or data architecture role, 10+ preferred
- Expertise in SQL and data analysis and experience with at least one programming language (Python/PySpark or Scala preferred)
- Strong experience in design, data modeling (logical and physical), data architecture, data governance, metadata management for data warehouses, lake house, and data marts in big data solutions
- Knowledge in best practices, standards, and processes in end-to-end data management in an enterprise on-premise and cloud hybrid environment.
- Experience with architecting and developing solutions on cloud computing services (Azure, Azure Data Lake, Azure Data Factory, Databricks, SQL Server, and Snowflake) in the data and analytics space (preferred)
- Database development experience with a variety of relational, NoSQL, cloud data lake, and Snowflake technologies
- Worked with metadata tools such as Collibra, BI tools such as Tableau, Power BI, is a plus
- Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data.
- Big Data Development experience using, Spark, Python and familiarity with Kafka / EventHub (Preferred)
- Familiarity with the Linux operating system (Preferred)
- Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
- Passionate about Agile software processes, data-driven development, reliability, and experimentation
- Experience working on a collaborative Agile product team
- Self-motivated with strong problem-solving and learning skills
- Flexibility to changes in work direction as the project develops
- Excellent communication, listening, and influencing skills
- Demonstrated strong number sense, intellectually curious and willing to adjust position based on additional information
- Strong work ethic; ability to work at an abstract level and gain consensus
Employment Type
Full Time
Key Skills
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