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Data Engineer

Data Engineer

Where U Elevate®Pune, Maharashtra, India
12 days ago
Job description

Primary Responsibilities :

  • Use knowledge to architect data warehousing and BI solutions that solve problems that cut across multiple business functions
  • Interact with business customers, gathering requirements and delivering complete Data Engineering, Data Warehousing, and analytics solutions.
  • Interface with other technology teams to extract, transform, and load data from a wide variety of data sources

Job Requirements :

  • Minimum 5-12 years of end-to-end Data Engineering Development experience – Total professional experience does not matter much. This is mainly for 5-10+ years experienced profiles.
  • Worked extensively across different industry domain specially Retail, FMCG, Manufacturing, Finance, Oil & Gas, etc.
  • Worked extensively across functional domains like Sales, Procurement, Cost Control, Business Development, Management Reporting, Finance, etc.
  • 3 to 10 years of experience in working on data engineering projects using Azure / AWS services.
  • Extensive hands-on experience implementing data transformation, processing and data migration using Azure or AWS services : ADLS, Azure Data Factory, Databricks Azure Functions, Synapse / DW, Azure SQL DB, Event Hub, Azure Stream Analytics, Databricks, AWS Glue, Redshift, Athena
  • Exposure to MS Fabric and its components is added advantage.
  • Experience in working with different source / target systems like Oracle Database, SQL Server Database, Blob Storage, Azure Data Lake Storage, ERP, CRM, SCM systems.
  • Ability to read data from sources using APIs / Web Services and having worked with API to write data to target systems.
  • Experience with Data Cleanup, Data Cleansing, and optimization related exercises.
  • Experience working with non-structured data sets in Azure will be an added advantage.
  • Experience with other analytics tools like Power BI, Azure Analysis service would be an advantage.
  • Experience with private and public cloud architectures.
  • Excellent written and verbal communication skills
  • Key Requirements -

  • MS Azure Data Factory, Python, PySpark Coding, Synapse Analytics, Azure Function Apps, Azure Databricks or AWS Services – Glue, Athena, Redshift, Databricks Pysark
  • MS Fabric exposure
  • Integration to various applications / systems – ERP, CRM, SCM, WebApp using APIs, Cloud, On-premise systems, DBs, file systems.
  • Min 3 Full Cycle Data Engineering Implementations (5-10 Yrs experience) with exposure to building data warehouses and implementing data models on projects.
  • Exposure to consulting industry is a must.
  • Excellent verbal and written communication skill.
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    Data Engineer • Pune, Maharashtra, India