Data Architect Lead

1 week ago


Pune, Maharashtra, India Where U Elevate Full time
About Data Engineer Role

Where U Elevate is seeking a highly skilled Data Engineer with extensive experience in data engineering, Azure/AWS services, and consulting industry to join our team. As a Data Engineer, you will be responsible for architecting data warehousing and BI solutions, interacting with business customers, and delivering complete Data Engineering, Data Warehousing, and analytics solutions.

About the Job:

  • Estimated Salary Range: $120,000 - $200,000 per year, based on national averages and industry standards.

About You:

Responsibilities:

As a Data Engineer at Where U Elevate, your primary responsibilities include:

  1. Architecting data warehousing and BI solutions that solve problems across multiple business functions.
  2. Gathering requirements from business customers and delivering complete Data Engineering, Data Warehousing, and analytics solutions.
  3. Interfacing with other technology teams to extract, transform, and load data from various data sources.

Requirements:

To succeed in this role, you must have:

  • A minimum of 5-8 years of end-to-end Data Engineering Development experience.
  • Extensive experience working on data engineering projects using Azure/AWS services.
  • Hands-on experience implementing data transformation, processing, and migration using Azure/AWS services, such as ADLS, Azure Data Factory, Databricks, and more.
  • Exposure to MS Fabric and its components is an added advantage.
  • Experience working with different source/target systems, including 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 write data to target systems.
  • Experience with data cleanup, data cleansing, and optimization exercises.
  • Excellent written and verbal communication skills.
Qualifications:

We are looking for candidates with:

  • M.Tech / B.E. / B.Tech (Computer Science, Information Systems, IT) / MCA / MCS degrees.

Additional Requirements:

  • MS Azure Data Factory, Python, PySpark Coding, Synapse Analytics, Azure Function Apps, Azure Databricks or AWS Services – Glue, Athena, Redshift, Databricks Pysark expertise.
  • MS Fabric exposure.
  • Integration to various applications/systems – ERP, CRM, SCM, WebApp using APIs, Cloud, On-premise systems, DBs, file systems.
  • At least 3 full-cycle data engineering implementations with exposure to building data warehouses and implementing data models on projects.
  • Exposure to consulting industry is a must.
  • Excellent verbal and written communication skills.


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