Senior Databricks Data Engineer

Adesso • IT Consulting & Digital Transformation • Custom Software Development • Bachelor's Degree • Python • SQL • 8 days ago
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Salary
≈ $22k – $46k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 6+ years exp

Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Oct 5, 2026.

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Adesso

Adesso is a Dortmund information technology consultancy founded in 1997 that has grown into one of the largest in Germany. It builds custom software and industry platforms for insurance, health, public sector and transport clients. The group employs many thousands of consultants and developers across Europe.
adesso.de • HQ: Dortmund, Germany • Custom Software Development • IT Consulting & Digital Transformation • 1001-5000 employees • Est. 1997
Tech stack of Adesso

YOUR ROLE

  • Design and deliver enterprise-scale data solutions using Databricks Lakehouse architecture and Delta Lake.
  • Lead the development of scalable batch and real-time data pipelines using PySpark, Spark SQL, and Structured Streaming.
  • Implement and govern data security, lineage, access management, and compliance standards using Unity Catalog.
  • Drive platform performance optimization, scalability improvements, and cost management initiatives.
  • Establish and enhance CI/CD pipelines, DevOps practices, automated testing frameworks, and Infrastructure-as-Code implementations.
  • Provide technical leadership through code reviews, mentoring, and engineering best practices.
  • Partner with architects, business stakeholders, and delivery teams to translate business requirements into scalable data solutions.
  • Troubleshoot and resolve complex production issues while ensuring platform reliability and operational excellence.
  • Support solution architecture, technical estimations, framework development, and project delivery activities.

YOUR PROFILE

  • 6-8 years of experience in Data Engineering, including significant hands-on experience with Databricks.Advanced expertise in Python, PySpark, Spark SQL, and large-scale data processing frameworks.
  • Strong experience with Delta Lake, Unity Catalog, Databricks Workflows, and Delta Live Tables.
  • Proven experience designing and implementing cloud-based data platforms on Azure, AWS, or GCP.In-depth understanding of data modeling, data warehousing, and modern Lakehouse architectures.
  • Experience working with real-time data technologies such as Kafka, Event Hubs, and Structured Streaming.Strong knowledge of Git, DevOps practices, CI/CD pipelines, and Infrastructure-as-Code methodologies.
  • Demonstrated ability to lead technical initiatives, mentor team members, and collaborate with global stakeholders.
  • Exposure to MLflow, Microsoft Fabric, Azure Synapse, Snowflake, and enterprise data governance frameworks is desirable.
  • Bachelor's or Master's degree in Computer Science, Information Technology, or a related discipline.
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