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- Work with stakeholders to translate requirements into data models.
- Use Python, SQL, or Spark to write data transformations.
- Implement data quality frameworks and rules.
- Track record of developing batch or stream processing pipelines using the modern data stack.
- At least 5 years of experience as a Python developer.
- Proficient in SQL, Spark, Pandas.
- Experience with at least one of the three major cloud providers: AWS, Azure, GCP.
- Understanding of data modeling concepts and the ability to translate requirements and navigate tradeoffs.
- Experience using a modern data warehouse such as Snowflake, Redshift, Presto, Dremio etc.
- Knowledge of SDLC processes, e.g.experience with Git, packaging, containerization.
- Excellent verbal and written communication skills.
- Experience with eventbased technologies like Kafka.
- Experience with real time data replication using Change Data Capture.
- Experience with the Salesforce ecosystem.
Senior Data Engineer - Delhi, India - Coreflex Solutions Pvt Ltd
Description
Job Description :
As a Senior Data Engineer, you will apply your experience as a data pipeline engineer and Python developer to build and maintain fast, reliable pipelines to materialize high quality datasets.
Required Skills :
Nice To Have :
Skills :
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