Job Description :
– Python
– Pyspark
– Databricks and Azure data factory.
– SQL queries. Very strong
– Databricks
– Very strong(workflows etc).
– Python-strong
– PySpark (comes with Databricks).
– Data Pipeline optimization, ETL, process of optimizing the query
– People who are good with numbers.
– Banking domain is preferred
Responsibilities :
– Analyze and organize raw data
– Build data systems and pipelines
– Evaluate business needs and objectives
– Interpret trends and patterns
– Conduct complex data analysis and report on results
– Prepare data for prescriptive and predictive modeling
– Build algorithms and prototypes
– Combine raw information from different sources
– Explore ways to enhance data quality and reliability
– Identify opportunities for data acquisition
– Develop analytical tools and programs.
(ref:hirist.com)
▶️ Data Engineer – ETL/PySpark
🖊️ GPs Global business solutions
📍 Gurugram
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