Job Description :

Job Title: Data Engineer with Snowflake

Duration: Long Term Contract

Job Description:

  • 9+ years of IT experience with minimum 3+ years of experience in Snowflake / Cloud data warehouse skills
  • Participating in the development of Data Lake, Data Warehouse, different methods of data ingestion and Self Service ETL tools using best architectural practices.
  • Working with Architects to design and implement data lake involving data extraction, transformation and analytics
  • Helping build scalable data pipelines using different technologies
  • Worked on all phases of data warehouse development lifecycle, from gathering requirements to testing, implementation, and support.
  • Worked extensively in Unix Shell Scripting,Python and SQL server with strong implementation on performance management.
  • Worked on Cloud Database SnowFlake Cloud Datawarehouse and Integrated Automated Generic Python Framework to Process XML ,CSV, JSON,TSV,TXT files.
  • Developed Python Framework for Data Ingestion into Snowflake
  • Excellent hands on experience in trouble shooting the problems and improving the performance of application processes by Debugging, tuning and tracing.
  • Designing and implementing a fully operational production grade large scale data solution on Snowflake Data Warehouse.
  • Work with structured/semi-strucuted data ingestion and processing on AWS using S3, Python. Migrate on premisis big data workloads to AWS.
  • Experience in implementing complex Data Integration/Ingestion with Structured, and Unstructured data sets.
  • Design and implement secure data pipelines into a Snowflake data warehouse from on premise and cloud data sources.
  • Creation of best practices and standards for data pipelining and integration with Snowflake data warehouses.
  • Experience in building data ingestion pipeline using Informatica.
  • Design, develop, and implement advanced data pipelines that bring together data from disparate sources, making it
             

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