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Job Location: The Great Bharat
Job Detail:
Role : Senior Data Engineer
Experience : 5+ years
Location : Remote
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
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