- Azure Data Engineer
- Remote
- Long Term
- 4 - 5 years proven experience in developing and deploying data pipelines, preferably in the Cloud; Azure and Snowflake experience is a plus.
- 2+ years of proven expertise in creating pipelines for real time and near real time integration.
- 2+ years of experience in Apache Spark, Apache Flume
- Proven experience with Spark SQL, Spark Streaming and using Core Spark API to explore Spark features to build data pipelines.
- 2+ experience with at least one programming language like Python, Java, or Scala
- Databricks knowledge is a plus.
- Extensive experience in data transformations for Retail business use cases will be a plus.
- Experience in working with different data sources - flat files, XML, JSON, Avro files and databases.
- Proficiency in techniques for slowly changing dimensions.
- Knowledge of Jenkins for continuous integration and End-to-End automation for application build and deployments
- Ability to integrate into a project team environment and contribute to project planning activities.
- Experience in developing implementation plans and schedules and preparing documentation for the jobs according to the business requirements.
- Lead ambiguous and complex situations to clear measurable plans.
- Proven experience and ability to work with people across the organization and skilled at managing cross-functional relationships and communicating with leadership across multiple organizations.
- Proven capabilities for strong written and oral communication skill with the ability to synthesize, simplify and explain complex problems to different audiences
Job Types: Full-time, Contract
Pay: $40.00 - $90.00 per hour
Schedule:
- 8 hour shift
Work Location: Remote
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