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PySpark Lead
Data Economy
posted 2mon ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
Job Description:
- Lead a team of data engineers in the design and implementation of big data solutions using PySpark.
- Collaborate with cross-functional teams to understand business needs and develop data-driven solutions.
- Design and implement scalable and robust data pipelines using PySpark.
- Ensure data accuracy and integrity by implementing data validation and quality checks.
- Mentor and coach team members in PySpark and big data best practices.
- Stay up-to-date with the latest developments in big data technologies and incorporate them into the teams workflow.
RequirementsRequirements:
- 8+ years in Pyspark/ Data engineer development and implementation
- Bachelors or Masters degree in Computer Science, Engineering, or a related field.
- Proven experience as a PySpark Lead or similar role.
- Expertise in PySpark and big data technologies such as Hadoop, Hive, and Spark.
","
- 8+ years in Pyspark/ Data engineer development and implementation
Employment Type: Full Time, Permanent
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People are getting interviews at Data Economy through
People are getting interviews through
(based on 7 Data Economy interviews)
Referral
Campus Placement
Walkin
Job Portal
29%
29%
14%
14%
14% candidates got the interview through other sources.
Moderate
Confidence
?
Moderate Confidence means the data is based on a sufficient number of responses received from the candidates
What people at Data Economy are saying
What Data Economy employees are saying about work life
based on 46 employees
Flexible timing
Monday to Friday
No travel
Day Shift
Data Economy Benefits
Work From Home 
Soft Skill Training 
Health Insurance 
Cafeteria 
Education Assistance 
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