Consultant- Data Analytics at Konecranes

pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

12 Apr, 26

Salary

0.0

Posted On

12 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Azure Data Factory, Azure Databricks, Data Engineering, Data Modeling, Python, Version Control, CI/CD, Data Quality, Monitoring, Performance Optimization, Collaboration, Documentation, Communication, Problem Solving, Time Management

Industry

Machinery Manufacturing

Description

Company Description At Konecranes, we believe that great customer experience is built on the people behind the Konecranes name. Everything we do, we do with passion and drive. We believe diversity drives business success and is the foundation for our growth. We welcome different backgrounds and skills that enrich our community and we promote a place where we can ALL be ourselves. This is what makes Konecranes a unique place to work. Job Description About the job We are looking for a Consultant – Data Analytics with strong SQL skills and hands‑on 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 well‑governed 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 problem‑solving, 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 Bachelor’s degree in Computer Science, Information Technology, Data Science, or related field. Experience 3–5 years of hands‑on 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 non‑technical audiences. Ownership, attention to detail, and a problem‑solving mindset. Strong time‑management capabilities and ability to meet deadlines. Ability to collaborate effectively in a team environment. Adaptability and willingness to learn new technologies. Qualifications Bachelor’s degree in Computer Science, Information Technology, Data Science, or related field. Additional Information What we offer A chance to join a highly ambitious and growth‑oriented team as an Individual Contributor, with opportunities to take ownership of product groups based on performance. Cross‑functional collaboration and potential for international exposure or short‑term travel. A strong environment for professional growth, continuous learning, and global collaboration. A flexible and inclusive workplace that supports work‑life 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 below.Please contact the recruiting manager Suraj Gupta via email suraj.gupta (at) konecranes.com, or Talent Acquisition Specialist Kanchan Mahajan via kanchan.mahajan.ext (at) konecranes.com 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. That's 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. That's 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. Job Category: IT Employee Group: Employee Employment Type: Undefined term Full-time/part-time position: Full-time Workplace Type: Hybrid

Responsibilities

The Consultant – Data Analytics will be responsible for building and maintaining scalable ETL/ELT pipelines using Azure Data Factory and Azure Databricks. They will ensure data accuracy, security, and availability for downstream analytics.