Senior Data Engineer

Job Title: Senior Data EngineerSr

At Sandvik Mining & Rock Technology India Pvt. Ltd. (Part of Sandvik Group), we offer you a world of opportunities. Our diverse businesses and global network enable you to explore your potential and thrive. So now we challenge you: Think one step further and then take it!

YOUR MISSION

You will be responsible for leading the design, architecture, and implementation of enterprise-scale data infrastructure and end-to-end data processing pipelines, operating primarily within the Microsoft Azure ecosystem. You will transform complex business requirements into scalable, automated, and secure data solutions, acting as a technical leader and driving modern data platform initiatives such as Data Lakehouse architectures.

The main responsibilities are as follows

• 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.

YOUR PROFILE

Education & Experience

• 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.

Technical Expertise

• 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.

Bonus Points (Nice to Have)

• 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.

Problem-Solving and Analytical Skills

Strong analytical and problem-solving abilities to troubleshoot complex data pipelines and distributed data systems, identify root causes, and implement effective mitigation strategies.

Ability to perform data-driven analysis and quantitative reasoning, including validating business logic, reconciling large datasets, and analyzing pipeline performance metrics (latency, throughput, reliability, cost).

Stakeholder Management and Communication Skills

• Drive alignment across global, cross-functional teams by leading technical discussions, negotiating priorities, and influencing decisions to deliver high-impact outcomes on time.
• Strong written and verbal communication—able to translate complexity into clear decisions and next steps for stakeholders.
• Proactive in driving alignment via updates, documentation, and follow-ups across cross-functional teams.