Senior Data Engineer (Pyspark)
Valuelabs
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Posted 2 hrs ago
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Vacancy
1 Vacancy
Job Description
Roles & Responsibilities
Role & responsibilities:
- The Data Engineer role involves acquiring requirements, conducting EDA, ingesting required datasets, and transforming data using Big-data technologies & Feature Engineering techniques for machine learning models.
- Key tasks include building high-performance, secure, and scalable data pipelines, collaborating with Analytics Delivery Leads, Data scientists and other teams in an Agile environment, and communicating stakeholders effectively.
- The position requires a degree in a relevant field.
- At least 8-10 years of experience in data engineering and ML pipelines, and proficiency in technologies like Python, Spark (including expertise in optimization techniques), Hadoop, SQL, and Git.
Desired Candidate Profile
Total Exp:
Relevant Exp in PySpark:
Relevant Exp in ML Pipelines:
Relevant Exp in Python Development :
Relevant Exp in Big Data :
Relevant Exp in Banking Domain:
Current CTC:
Expected CTC:
Current location:
Preferred location:
Notice period:
Highest Education (fulltime):
Company Industry
Department / Functional Area
Keywords
- Senior Data Engineer (Pyspark)
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