Data Engineer

sound skills and hands on experience with azure data lake, azure data factory, databricks using pyspark and spark sql, sql data warehouse azure blob, azure storage explorer. experience sql, python,or r. data wrangling using trifacta, fivetran, tableau dataprep, snowflake. experience structuring data to support analytics. proficient in creating on-premises linux gpu machine using python and shell script, data factory pipelines for on-cloud etl processing; copy activity, custom azure development etc. knowledge of azure data catalog, event grid, service bus, sql and synapse. experience in sql server bi suite (etl, reporting, analytics, dashboards) using ssis, ssas, ssrs, power bi. doing backend program like creating procedure, functions in sql server. general administration on sql server. nosql (. mongodb) performance optimization, database optimization and data ingestion techniques, stream processing, maintaining elt processes and maintaining big data pipeline

good to have skills: oracle core dba. creating backend script in informix db. middleware administration (.,jboss, tomcat etc.). web-service integration using java restful webservice. sql server .net clr integration

job type: full-time

• Experience

  3 - 6 Years

• No. of Openings

  2

• Role

  Data Engineer

• Industry Type

  IT-Hardware & Networking / IT-Software / Software Services

• Gender

  [ Male / Female ]

• Job Country

  India

• Type of Job

  Full Time

• Work Location Type

  Work from Office