Data Solutions Analyst @ Elitmind

As a  Data Solutions Analyst , you will be responsible for designing, developing, and maintaining data solutions built on modern cloud platforms.

This key role involves working closely with customers and business stakeholders to deliver scalable, automated, and high-performing data pipelines.

You will actively contribute to the entire data engineering lifecycle, leveraging your expertise in  dbt ,  Snowflake , and  Azure Data Services  to build impactful data ecosystems.

We are looking for a data professional who can jump into projects right away proactive, detail-oriented, and passionate about delivering high-quality results.

Key technologies

DBT | Snowflake | SQL | Python | CI / CD | Azure | Data Services | Databricks

• 3+ years of experience in data engineering, analytics engineering, or similar roles
• Strong hands-on experience in  dbt  (certification preferred or willingness to obtain)
• Proven experience with  Snowflake  (certification a plus or willingness to obtain)
• Solid understanding of  ETL / ELT pipelines , data modeling, and integration of various structured and unstructured data sources
• Very good coding skills and best practices in  SQL  and  Python
• Conceptual and technical knowledge of  CI / CD pipelines , automation, and technical operations
• Experience in  Azure Data Services  and  Databricks
• Fluent English (both written and spoken)
• Strong communication skills and experience working directly with customers and business stakeholders
• Hands-on approach and  willingness to join an ongoing project immediately

Nice to have

Soft skills

Ability to interpret data, identify trends, and provide actionable insights to drive business decisions.

Proactively identify and resolve issues related to BI systems, ensuring smooth operations and data accuracy.

Ability to explain technical concepts to non-technical stakeholders clearly and concisely, fostering understanding and collaboration.

Meticulous in data validation, report generation, and ensuring data quality across BI platforms.

Strong interpersonal skills to work effectively in cross-functional teams, coordinating with IT, business analysts, and other stakeholders.

Open to learning new tools and technologies in the rapidly evolving BI landscape and adjusting to changing business needs.

As a  Data Solutions Analyst , you will be responsible for designing, developing, and maintaining data solutions built on modern cloud platforms.

This key role involves working closely with customers and business stakeholders to deliver scalable, automated, and high-performing data pipelines.

You will actively contribute to the entire data engineering lifecycle, leveraging your expertise in  dbt ,  Snowflake , and  Azure Data Services  to build impactful data ecosystems.

We are looking for a data professional who can jump into projects right away proactive, detail-oriented, and passionate about delivering high-quality results.

,[Design and build cloud-based data pipelines and architectures using dbt and Snowflake, Develop and maintain ETL / ELT processes and data transformations, Integrate data from various structured and unstructured sources, Implement automation for data workflows and support CI / CD processes, Collaborate closely with business stakeholders to translate requirements into data solutions, Monitor, troubleshoot, and optimize performance and cost of data systems, Support deployment of analytics and machine learning solutions on cloud platforms, Document processes, infrastructure, and best practices for scalability and maintainability, Stay up-to-date with emerging data and cloud technologies] Requirements : dbt, Snowflake, ETL, SQL, Python, CI / CD, Azure Data Services, Databricks, Vertica, AWS EMS, Lakehouse, Docker, AKS, AWS Additionally : Sport subscription, Training budget, Private healthcare, Refer a friend scheme, Integration events, Certificates, Remote working.