TI e Desenvolvimento de Software

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.

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