PamTen Inc | Data Engineer(Snowflake) | The Great Bharat | Bharat | | 2023-03-09

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Job Location: The Great Bharat

Job Detail:

Role : Senior Data Engineer 

Experience : 5+ years 

Location : Remote Jyotish Jyotish - Career & Life Prediction

Job Description: 

●       Analyze and interpret complex data sets. Ability to identify data anomalies and resolve data issues

●       Understand specific business processes and domain concepts and relate them to data subject domains

●       Collaborate with Data Leads, Data Analysts and QA analysts to validate requirements, participate in user requirement sessions

●       Perform tests and validate data flows and prepare ETL processes according to business requirements

●       Perform ETL tuning and SQL tuning

●       Ability to document data flows representing business logic in ETL routines

●       Design and implement data conversion strategy from legacy to new platforms

●       Perform design validation, reconciliation, and error handling in data load processes

●       Design and prepare technical specifications and guidelines including ER diagrams and related documents

●       Must be well versed with Data warehousing concepts including design patterns (Star schemas, Snowflake design schemas). Must be aware of data modeling concepts including the data modeling Normal forms

●       Knowledge of AWS Infrastructure including S3, SNS, Ec2, CloudWatch and RDS

●       5+ years working in ETL/Data transformation projects with one or more related products such as Informatica or Talend or Microsoft SSIS

●       5+ years working in business intelligence, data warehousing initiatives

●       Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases like Oracle or Ms Sql Server or Vertica.

●       Good to have at least 1+ years working with Matillion ELT tool and Snowflake Database

●       Good to have experience in building AWS Data Pipelines using Python or Spark, Spark SQL in any of Cloud Environments (AWS / Azure / Google).

●       Good to have – Experience with any of the NoSQL datastores such as Elasticsearch, MongoDB, DynamoDB, Cassandra

Apply Here

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