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Senior Data Consultant

MivadaHyderabad, Telangana, IndiaPosted 19 May 2026

Mivada is a technology consulting firm seeking a Senior Data Consultant to join their Data & Analytics team. The role focuses on designing, developing, and optimizing scalable data pipelines and models for enterprise analytics and ML initiatives. Candidates must have expertise in Databricks, ETL/ELT processes, and cloud platforms like AWS, Azure, or GCP. This position involves collaboration with data scientists and architects to deliver robust, secure, and performant data solutions.

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Experience

Experience not specified

Function

Engineering

Work mode

Onsite, India

Company

Tier 2

What you will work on

Mivada is a technology consulting firm seeking a Senior Data Consultant to join their Data & Analytics team. The role focuses on designing, developing, and optimizing scalable data pipelines and models for enterprise analytics and ML initiatives. Candidates must have expertise in Databricks, ETL/ELT processes, and cloud platforms like AWS, Azure, or GCP. This position involves collaboration with data scientists and architects to deliver robust, secure, and performant data solutions.

TAL's take

Quality 55/1005/5 clarityTier 2 company

Solid senior-level engineering role in a growing consulting firm, though the lack of explicit YOE and specific compensation limits the upside.

The JD clearly defines the role, core responsibilities, and specific technology expectations such as Databricks and Delta Lake.

Must haves

  • Bachelor’s or Master’s degree in Computer Science or related field
  • Hands-on expertise in Databricks
  • Strong understanding of data warehousing, ETL/ELT, and data modeling
  • Experience with Delta Lake
  • Hands-on experience with cloud platforms (AWS, Azure, or GCP)
  • Knowledge of version control and CI/CD practices

Tools and skills

databricksetleltdata modelingdata warehousingdelta lakeawsazuregcpgitci/cd

Nice to have: apache kafka, airflow.

About the company

Mivada is a technology consulting firm with enterprise clients but lacks the massive scale and singular product brand recognition of Tier 1 organizations.