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1 week ago
Senior Data Engineer
- The role of Senior Data Engineer involves designing, developing, and maintaining data pipelines and processes. Strong knowledge of star/snowflake schemas is necessary.
- Hands-on experience in PowerCenter Developer/IDMC Data Integration is required.
Data engineers with experience in DW Production Support/troubleshooting data or pipeline issues will be considered. Developing complex SQL queries and SQL optimization are also key skills required for this position.
Full life cycle experience including business requirements gathering, data sourcing, testing/data reconciliation, and deployment within Business Intelligence/Data Warehousing Architecture is expected.
Key responsibilities include designing and implementing data security, monitoring, and optimizing data storage and data processing. Object function/object-oriented scripting languages such as Scala, C++, Java, and Python are used to accomplish these tasks.
Cloud data warehouse and data lake platforms like Snowflake, Databricks, Redshift, BigQuery, MS Synapse, MS ADLS, Apache Hadoop are integral components of the job.
A strong project manager with organizational skills, experience supporting cross-functional teams, understanding of data science concepts, and familiarity with AI/ML frameworks and libraries will thrive in this position.
Developing data services that meet user needs, using advanced SQL knowledge, relational databases, ETL tools, and big data tools like Kafka, Spark, and Hadoop are essential skills.
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