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Key job responsibilities
- Develop and maintain robust ETL/ELT processes for diverse data sources using SQL, scripting, and AWS big data technologies- Ensure data security and govern access to large datasets across the organization
- Optimize data models and query performance for efficient data processing and analysis
- Develop and maintain documentation for data pipelines, processes, and systems
- Balance multiple priorities and manage end-to-end delivery of data engineering projects
- Contribute to data governance policies and ensure compliance with data standards and regulations
- 1+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
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