Consultant- Data Analytics

About the job

We are looking for a Consultant Data Analytics with strong SQL skills and handson experience in the Azure data stack to build and maintain scalable data pipelines. You will work across Azure Databricks and Azure Data Factory ensuring reliable and wellgoverned data flows that power analytics and reporting.

You will be responsible for designing implementing and managing data ingestion transformation and curation pipelines within the Azure ecosystem. You will ensure data is accurate secure and available on time for downstream analytics. This role is ideal for someone who enjoys problemsolving clean design and collaboration.

Key Responsibilities

• Pipeline Development: Build and maintain scalable ETL/ELT pipelines using Azure Data Factory (ADF) and Azure Databricks (PySpark/SQL).
• Data Engineering: Implement data models (Data Vault star and snowflake) design Delta Lake tables apply partitioning strategies and ensure data quality through validations and reconciliation.
• SQL Development and Optimisation: Write efficient SQL queries optimise performance through query tuning and index management and maintain stored procedures.
• Orchestration & Monitoring: Configure triggers implement error handling and retries set up logging and alerting mechanisms and support production jobs by resolving issues to ensure robust data pipeline operations.
• Access management: Manage access controls and permissions across Azure data services including Databricks Data Lake and Data Factory.
• Best Practices: Follow secure development practices (Key Vault managed identities) RBAC tagging and cost optimization.
• Collaboration: Work with BI developers Business analysts and product teams to translate requirements into technical solutions.
• Documentation & Communication: Create and maintain detailed runbooks architecture diagrams and documentation; present updates and findings to stakeholders.
• ISO Standards Awareness: Familiarity with ISO 14001 and 45001 standards.

The role is based in our office in SP Infocity Pune but it goes without saying that the remote & hybrid working is a part of our modern ways of working.

Required Qualifications & Skills

Education

• Bachelors degree in Computer Science Information Technology Data Science or related field.

Experience

• 35 years of handson experience in Data Analytics and Data Engineering.

Technical Skills

• Strong SQL: complex joins window functions CTEs query optimization.
• Azure Data Fundamentals: Storage Networking Key Vault RBAC Cost Management.
• Azure Databricks: PySpark SQL notebooks jobs clusters Delta Lake.
• Azure Data Factory: pipelines activities datasets linked services data flows.
• Azure Synapse Analytics: serverless SQL dedicated SQL pools.
• Azure Purview: metadata lineage data cataloging.
• Python: scripting for automation utilities and data processing.
• Version Control & CI/CD: Git branching strategies pull requests Azure DevOps pipelines.
• Testing: unit/integration tests for data pipelines data quality frameworks.
• Monitoring & Observability: Log Analytics alerts operational monitoring.
• Performance & Cost Optimization: cluster tuning caching partitioning compute scaling.

Soft Skills

• Strong verbal and written communication.
• Ability to simplify complex technical issues for nontechnical audiences.
• Ownership attention to detail and a problemsolving mindset.
• Strong timemanagement capabilities and ability to meet deadlines.
• Ability to collaborate effectively in a team environment.
• Adaptability and willingness to learn new technologies.

Qualifications :

Bachelors degree in Computer Science Information Technology Data Science or related field.

Additional Information :

What we offer

• A chance to join a highly ambitious and growthoriented team as an Individual Contributor with opportunities to take ownership of product groups based on performance.
• Crossfunctional collaboration and potential for international exposure or shortterm travel.
• A strong environment for professional growth continuous learning and global collaboration.
• A flexible and inclusive workplace that supports worklife balance.
• Competitive salary aligned with our value of Doing the Right Thing.

Want to learn more about Konecranes and what your future colleagues have to say

Interested

Do you have what it takes and do you see yourself joining our community and taking a key role in our Consultant Data Analytics If yes please submit your application with CV as soon as possible latest by 30.01.2026 via Apply link contact the recruiting manager Suraj Gupta via email (at) or Talent Acquisition Specialist Kanchan Mahajan via (at) or via Linkedin.

Konecranes moves what matters. We are a global leader in material handling solutions serving a broad range of customers across multiple industries. We consistently set the industry benchmark from everyday improvements to the breakthroughs at moments that matter most because we know we can always find a safer more productive and sustainable way. Thats why with 16 000 professionals in over 50 countries we are trusted every day to lift handle and move what the world needs.

Konecranes is committed to ensuring that all employees and job applicants are treated fairly in an environment which is free from any form of discrimination.

Konecranes moves what matters. We are a global leader in material handling solutions serving a broad range of customers across multiple industries. We consistently set the industry benchmark from everyday improvements to the breakthroughs at moments that matter most because we know we can always find a safer more productive and sustainable way. Thats why with 16 000 professionals in over 50 countries we are trusted every day to lift handle and move what the world needs.

Konecranes is committed to ensuring that all employees and job applicants are treated fairly in an environment which is free from any form of discrimination.

Remote Work :

No

Employment Type :

Full-time