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Bitwise seeks a data engineer to design and implement Azure-based data warehousing solutions using Azure ADF, Databricks, PySpark and Python. You will work hands-on with Azure Cloud services such as Batch, Functions, Storage, Key Vault and Monitor, and with Snowflake or Synapse/SQlMI for data processing.
Responsibilities include crafting low-level designs, validating data pipelines and ensuring data quality, coupled with strong communication and analytical skills in a collaborative environment.
Azure ADF or Databricks, PySpark and Python,
Proficiency in crafting low-level designs for data warehousing solutions on Azure cloud.
Hands‑on involvement with Azure Cloud, Azure Batch, Azure Function, Storage account, KeyVault, Azure Monitor
Hands‑on involvement with Snowflake database or Synapse databaes, SQLMI,
Proficiency in testing methodologies and validating data pipelines
Strong communication and analytical skills.
Salary: Best in the industry
Location: Pune/Hybrid
Bitwise leverages its deep technological expertise to develop solutions for their clients' most complex business problems. Over 25+ years of consistently bringing high-performance solutions to our market leading clients in diverse industries across the world, guarantees that our tools, processes and people are above par to offer singular value to every engagement. Partnerships with Bitwise yield long term business gains, as clients deliver more and deliver faster, because they are ahead of the curve in a dynamic business landscape. This is made possible through our data driven business insights and our innovative and agile methodologies.
We apply the 'Unconventional' to fit in and to stand out as technology experts in conventional business landscapes. An environment that thrives on Innovation, Collaboration, Passion and Confidence creating best in class technology solutions is what drives us. It is a different way of working but we and our clients feel the results differentiate us from the lot!
Excellence, Compassion, Open-Mindedness, Mutual Respect, Ownership, Integrity and Belongingness