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Senior Data Engineer

Teknik, data och digitalt · Data, AI och analys · Data engineering

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Sandvik Mining & Rock Technology seeks a Senior Data Engineer in Bangalore to lead the design and implementation of enterprise-scale data infrastructure and processing pipelines using Azure. This role involves developing ETL/ELT solutions, managing data workflows, and optimizing data performance.

Ansvarsområden

  • Design, develop, and maintain ETL/ELT data pipelines using Azure Data Services.
  • Build and manage data workflows using Azure Data Factory / Synapse Pipelines.
  • Ingest data from multiple sources (databases, APIs, flat files, cloud storage).
  • Perform data transformation, cleansing, and enrichment to support analytics use cases.
  • Optimize data pipelines, storage, and compute resources for performance and cost efficiency.
  • Monitor, troubleshoot, and resolve pipeline failures and data quality issues.
  • Collaborate with data analysts, data scientists, and application teams to understand data requirements.
  • Implement best practices for data security, reliability, and scalability.
  • Participate in Agile ceremonies and contribute to continuous improvement initiatives.

Krav

  • Bachelor’s degree in Computer Science, IT, Engineering, or a related discipline.
  • 8–12 years of experience in data engineering or data platform development roles.
  • Hands-on experience working with Azure Data Services in production environments.
  • Experience delivering data solutions for analytics, reporting, or business intelligence.
  • Strong hands-on experience with Azure Data Factory, Azure Databricks and Azure Synapse Analytics.
  • Experience with ETL/ELT pipelines, data integration, and orchestration frameworks.
  • Proficiency in SQL and strong understanding of relational and analytical data models.
  • Experience with Azure Data Lake Storage (ADLS) and data storage optimization techniques.
  • Knowledge of resource optimization, cost management, and performance tuning in Azure.
  • Familiarity with CI/CD for data pipelines.
  • Understanding of data security, access control, and governance in Azure environments.
  • Strong analytical and problem-solving abilities to troubleshoot complex data pipelines and distributed data systems.
  • Ability to perform data-driven analysis and quantitative reasoning.
  • Strong written and verbal communication skills.

Önskade kvalifikationer

  • Experience with PySpark / Python for data processing.
  • Exposure to Power BI or other BI/reporting tools.
  • Knowledge of Azure Monitor, Log Analytics, or pipeline monitoring tools.
  • Experience with streaming data (Event Hubs, Azure Stream Analytics).
  • Azure certifications such as DP-203 (Azure Data Engineer Associate).
  • Experience working in large-scale enterprise data platforms.
  • Ability to drive alignment across global, cross-functional teams by leading technical discussions, negotiating priorities, and influencing decisions to deliver high-impact outcomes on time.
  • Proactive in driving alignment via updates, documentation, and follow-ups across cross-functional teams.
#data engineering#azure#etl#elt#data pipelines#data lakehouse#analytics#business intelligence
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Företag

Sandvik

Publicerade jobb

för 9 timmar sedan

Upphör

om 49 minuter

Anställningstyp

Heltid

Arbetsform

På plats

Erfarenhetsnivå

Senior

Platser

Bangalore, India

Kvalifikation

Kandidatexamen

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