Data engineer
Anonymous · Hyderabad, India
FULL TIMEpermanent
Job Description
Please find the below JD for Data Engineering.
Position: Data Engineer
Experience: 4 to 10 Years experience in Py Spark and Data bricks
Location : Hyderabad
Overview:
In this role candidate will be responsible for understanding complex data sets, managing multiple disparate data sources, and implementing strong validation processes to ensure data quality.
The ideal candidate will have a strong background in python, ETL, pyspark, spark, sql, Amazon Web Services, and Databricks. Experience in Tableau is a plus.
Responsibilities:
Develop and maintain ETL pipelines to support data processing, analytics, and visualization needs.
Analyze large, complex data sets to identify patterns, trends, and insights.
Collaborate with cross-functional teams to understand business requirements and provide data- driven solutions.
Manage multiple disparate data sources and integrate them into a cohesive data platform and dashboards.
Develop and implement validation processes to ensure data accuracy and consistency.
Utilize pyspark, spark, sql, and Databricks to optimize data processing and querying performance.
Position: Data Engineer
Experience: 4 to 10 Years experience in Py Spark and Data bricks
Location : Hyderabad
Overview:
In this role candidate will be responsible for understanding complex data sets, managing multiple disparate data sources, and implementing strong validation processes to ensure data quality.
The ideal candidate will have a strong background in python, ETL, pyspark, spark, sql, Amazon Web Services, and Databricks. Experience in Tableau is a plus.
Responsibilities:
Develop and maintain ETL pipelines to support data processing, analytics, and visualization needs.
Analyze large, complex data sets to identify patterns, trends, and insights.
Collaborate with cross-functional teams to understand business requirements and provide data- driven solutions.
Manage multiple disparate data sources and integrate them into a cohesive data platform and dashboards.
Develop and implement validation processes to ensure data accuracy and consistency.
Utilize pyspark, spark, sql, and Databricks to optimize data processing and querying performance.
Details
| Company | Anonymous |
| Location | Hyderabad, India |
| Type | FULL TIME |
| Niche | tech |
| Experience | permanent |
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