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| Job Location | Pune |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | IT - Software |
| Functional Area | General / Other Software |
| EmploymentType | Full-time |
1. Understanding of Data Lakes and Data Lake Architectures best practices in data storage loading retrieving data from data lakes2. Experience building and optimizing big data data pipelines architectures and data sets3. Experience in creating and implementing data pipeline processes in Python Spark SQL NoSQL to support business problems Hands on experience in Python scripting Java programming development experience with PySpark with good analytical and debugging skills Experience with Python ORMs SQLAlchemy libraries Pandas Scikit Learn Numpy SciPy etc4. Experience in building Data Model Data Flows high level ETL design source to target data mapping document5. Good knowledge in ETL architecture and Hadoop platform architecture Good in Relational database design and concepts Fintech Financial Services exposure preferred Exposure to Cloud is good to have Knowledge of RESTful API Technical skillset6. Experience with big data tools Hadoop Spark Kafka etc Experience with relational SQL and NoSQL databases including Postgres and Cassandra7. Experience with data pipeline and workflow management tools Azkaban Luigi Airflow etc Experience with stream processing systems Storm Spark Streaming.,
Keyskills :
big datadata mapping database designstream processing financial servicesworkflow management platform architecturejava programmin