Skills And Tools:
- Create and maintain optimal data pipeline architecture,
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
- Work with data and analytics experts to strive for greater functionality in our data systems.
- Informatica Power Center, Informatica Data Engineer and knowledge on other ETLs tools
- Cloudera, Hive, Impala, Spark, Kafka
- Oracle, DB2, MS SQL, My SQL, Mongo DB
- MicroStrategy, SAP BO
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