Job
Description
Role - Data Engineer / SRE Must Have - ADF, Databricks, SQL, Azure Functions Good to Have - Python, Azure DevOps, GitHub Must have a willingness to work in support and enhancement projects, on incidents, change management etc.,. Relevant 6+ yrs experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. Experience in ITSM, worked on incidents, problem tickets, change management. Experience with Azure: ADLS, ADF, Databricks, Stream Analytics, SQL DW, COSMOS DB, Analysis Services, Azure Functions. Experience with relational SQL and NoSQL databases, including Postgres and Cassandra. Experience with object-oriented/object function scripting languages: Python, SQL, Scala, Spark-SQL etc. Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Experience building and optimizing big data data pipelines, architectures, and data sets. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency, and workload management. Role - Data Engineer / SRE Must Have - ADF, Databricks, SQL, Azure Functions Good to Have - Python, Azure DevOps, GitHub Must have a willingness to work in support and enhancement projects, on incidents, change management etc.,. Relevant 6+ yrs experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. Experience in ITSM, worked on incidents, problem tickets, change management. Experience with Azure: ADLS, ADF, Databricks, Stream Analytics, SQL DW, COSMOS DB, Analysis Services, Azure Functions. Experience with relational SQL and NoSQL databases, including Postgres and Cassandra. Experience with object-oriented/object function scripting languages: Python, SQL, Scala, Spark-SQL etc. Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Experience building and optimizing big data data pipelines, architectures, and data sets. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
