Data Engineering Solutions Architect

4 days ago


Pune, Maharashtra, India Where U Elevate Full time

At Where U Elevate, we are seeking a seasoned Data Engineering Solutions Architect to lead our data engineering efforts and drive innovation. With a strong background in data analytics, you will be responsible for designing and implementing scalable data warehousing and BI solutions that meet the needs of our diverse business functions.

This is a fantastic opportunity for an experienced professional to join our team and make a significant impact. As a Data Engineering Solutions Architect, you will work closely with our data analytics team to gather requirements, deliver complete data engineering, data warehousing, and analytics solutions, and interface with other technology teams to extract, transform, and load data from various sources.

We are looking for someone with a minimum of 5-8 years of end-to-end data engineering development experience, preferably with a focus on Azure or AWS services. You should have extensive hands-on experience implementing data transformation, processing, and migration using ADLS, Azure Data Factory, Databricks, Azure Functions, Synapse/DW, Azure SQL DB, Event Hub, Azure Stream Analytics, Databricks, AWS Glue, Redshift, Athena, and other relevant tools.

The ideal candidate will also have exposure to MS Fabric and its components, as well as experience working with different source/target systems like Oracle Database, SQL Server Database, Blob Storage, Azure Data Lake Storage, ERP, CRM, SCM systems. Additionally, they should be able to read data from sources using APIs/Web Services and write data to target systems.

We offer a competitive salary range of $150,000 - $200,000 per annum, depending on experience, and a comprehensive benefits package. If you are a motivated and results-driven individual who is passionate about data engineering and analytics, please apply for this exciting opportunity.

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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