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Sr. Data Engineer/Modeler

10.00 to 12.00 Years   Pune,India   25 Jun, 2023
Varite India Private Limited
Job LocationPune,India
EducationNot Mentioned
SalaryNot Mentioned
IndustryIT / Computers - Software
Functional AreaData Engineering
EmploymentTypeFull-time

Job Description

Description:Role : Sr. Data Engineer/Modeler Experience :: 10+ Years of relevant experience (MUST) Location :: Pune / Bangalore Shift Timing :: 9:00 AM IST to 6:00 PM IST MUST HAVE SKILLS:

  • Azure - Data Analytics services - ADF, Functions, Event Hub, Spark /pyspark (Solid skills) , ADSL GEN.
  • Kafka Streaming (Solid skills required).
  • Snowflake - Able to guide the team and unblock any issues the offshore team faces.
Basic Qualifications:
  • Bachelors degree in quantitative, computer science or related fields
  • 6+ years experience in Data Integration, Date Engineering and/or Data Analytics
  • 6+ years of experience developing ETL and ELT tools (Debezium, SSIS, Informatica, Python, DataBricks)
  • 3+ years writing SQL Queries
  • 6+ Knowledge of data modeling, ETL, data aggregation within Snowflake or other Cloud Native Infrastructure
  • 4+ years experience with Data Modeling, Dimensional Models and Data Structures
  • 4+ years knowledge and experience in Azure or other Public Cloud providers building data pipelines in data factory, Azure data lake, Azure SQL server
  • 4+ years with Waterfall and Agile Methodologies
  • 4+ years working with Project Management Collaboration tools (Jira, MS Project, Etc.)
  • Ability to travel with client demands (up to 50% travel)
Preferences:
  • 2+ Manufacturing experience preferred
  • 4+ years experience building reports/visualizations using Data Visualization with either PowerBI, Tableau or similar
  • 4+ experience with databases, master data management solutions, data quality management solutions, and/or data cataloging solutions
  • Python experience preferred
Responsibilities:
  • Data Management / Data Quality / Data Validation
  • Data Reporting and Testing
  • Design and development of data pipelines, data ingestion, data warehousing, data mart, visualization
  • Communication with both business owners and technical staff, at the appropriate level

Keyskills :
Data ModelingWaterfallSql QueriesInformaticaPythonDatabasesAgile MethodologiesData StructuresSSISDataBricksAzure Data FactoryData VisualizationAzureAzure Data LakeDebeziummanufacturing experiencedata quality management solutionsmaster dat

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