Data Solutions Engineer

2 days ago

Kota, Rajasthan, India beBeeDatabricks Full time ₹ 20,00,000 - ₹ 30,00,000

Role Summary:

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A Databricks Architect is required to design and implement scalable, secure, and efficient solutions on the Databricks platform. The successful candidate will have 5+ years of experience working with Databricks, including platform architecture, data engineering, and data analytics.

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The ideal candidate will possess a strong background in data engineering, including data warehousing, ETL, and data governance. Proficiency in languages such as Python, Scala, or Java, and experience with Databricks APIs, Spark, and Delta Lake are also essential.

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In addition to technical skills, the candidate should demonstrate excellent communication and interpersonal skills, with the ability to work effectively with clients and internal stakeholders.

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Key Responsibilities:

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  • Databricks Solution Architecture: Design and implement scalable, secure, and efficient Databricks solutions that meet client requirements.">
  • Data Engineering: Develop data pipelines, architect data lakes, and implement data warehousing solutions using Databricks.">
  • Data Analytics: Collaborate with data scientists and analysts to develop and deploy machine learning models and analytics solutions on Databricks.">
  • Performance Optimization: Optimize Databricks cluster performance, ensuring efficient resource utilization and cost-effectiveness.">
  • Security and Governance: Implement Databricks security features, ensure data governance, and maintain compliance with industry regulations.">
  • Client Engagement: Work closely with clients to understand their business requirements, provide technical guidance, and deliver high-quality Databricks solutions.">
  • Thought Leadership: Stay up-to-date with the latest Databricks features, best practices, and industry trends, and share knowledge with the team.">
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Requirements:

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  • Databricks Experience: 5+ years of experience working with Databricks, including platform architecture, data engineering, and data analytics.">
  • Technical Skills: Proficiency in languages such as Python, Scala, or Java, and experience with Databricks APIs, Spark, and Delta Lake.">
  • Data Engineering: Strong background in data engineering, including data warehousing, ETL, and data governance.">
  • Leadership: Proven experience leading technical teams, mentoring junior engineers, and driving technical initiatives.">
  • Communication: Excellent communication and interpersonal skills, with the ability to work effectively with clients and internal stakeholders.">
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Good to Have:

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  • Certifications: Databricks Certified Professional or similar certifications.">
  • Cloud Experience: Experience working with cloud platforms such as AWS, Azure, or GCP.">
  • Machine Learning: Knowledge of machine learning concepts and experience with popular ML libraries.">
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**We are looking for experienced professionals who can drive our data strategy forward**

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