Microsoft Databricks Engineer - DLTJP00052342-----------USC/GC Only----------Onsite (Cincinnati OH)-------Locals preferred

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kannan G

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Jun 8, 2026, 1:27:28 PM (22 hours ago) Jun 8

Hello,

How are you?

Email me if you have matching resources for the below requirement on C2C with expected pay rate - kan...@multivision-inc.com

LinkedIn is Mandatory for the role. Contact me only through email.

Please do not call/chat on WhatsApp – Kind Request.

Microsoft Databricks Engineer - DLTJP00052342

Location – Onsite (Cincinnati, OH)-------Locals preferred

Client: Deloitte/Kroger

VISA: USC/GC Only

Experience Required: Expert (Must be 14+ years of experience - 10+ years of US exp required)

C2C/1099/W2

Key skills

SQL (Must have 10+ Years)----------------- Years

Python (Must have 10+ Years)---------------- Years

SPARK (Must have 10+ Years)---------------- Years

Azure (Must have 10+ Years)---------------- Years

GCP Data Engineer (Must have 10+ Years)---------------- Years

Airflow (Must have 6+ Years)---------------- Years

Luigi (Must have 6+ Years)---------------- Years

Snowflake (Must have 6+ Years)---------------- Years

Redshift (Must have 6+ Years)---------------- Years

Kafka / Flink (Must have 6+ Years)---------------- Years

Go Lang (Must have 6+ Years)---------------- Years

Finance / Healthcare (Must have 6+ Years)---------------- Years

Power BI / Tableau (Must have 6+ Years) ---------------- Years

Microsoft Databricks Engineer - DLTJP00052342

We’re looking for a Microsoft Databricks Engineer to design, build, and support scalable data pipelines and lakehouse solutions using Databricks on cloud platforms (primarily Azure). You’ll partner with analysts and stakeholders to translate requirements into reliable datasets and data products, contribute to platform health and performance, and help ensure strong data quality, integrity, and security across the data lifecycle—aligned to patterns such as Medallion (Bronze/Silver/Gold) and emerging Data Mesh concepts.

Required Skills

-Hands-on experience with Databricks and core data engineering tools (SQL, Python, Spark; Hadoop familiarity acceptable)

-Experience designing and building data pipelines and ETL/ELT processes

-Experience with cloud data platforms (e.g., Azure; GCP exposure helpful)

-Working knowledge of data modeling, data architecture, and database design (relational and NoSQL)

-Knowledge of data governance, data quality, and security best practices

-Experience with workflow orchestration tools (e.g., Airflow, Luigi)

-Familiarity with organizing data using Medallion Pattern and understanding centralization vs. decentralization approaches (including Data Mesh principles)

-Strong problem-solving, communication, and documentation skills

Nice to Have Skills

-Experience with cloud data warehousing solutions (e.g., Snowflake, Redshift, BigQuery)

-Exposure to BI and visualization tools (e.g., Power BI, Tableau)

-Familiarity with performance tuning, optimization, and troubleshooting of data systems

-Experience with machine learning platforms and data science workflows

-Familiarity with real-time / streaming technologies (e.g., Kafka, Flink)

-Professional experience with Go (Golang)

-Experience in regulated industries (e.g., finance, healthcare)

Regards

Kannan Ganesan

Senior Technical Recruiter