Description

We are recruiting for an Associate Consultant in the team.

Your responsibilities will include:

- Design, develop, and maintain scalable data pipelines and data engineering solutions using Databricks, PySpark, Python, and Advanced SQL to support business reporting and analytics needs.
- Build and optimize ETL/ELT processes for ingesting, transforming, and processing structured and semi-structured data while ensuring data quality and reliability.
- Develop and maintain robust data models and curated datasets aligned with business and analytical requirements.
- Design and implement scalable, secure, and cost-effective data architectures on AWS and Azure, leveraging cloud-native services, Databricks, and Microsoft Fabric to support enterprise analytics and reporting requirements.
- Work closely with business stakeholders to understand requirements, ask appropriate business questions, and translate them into effective technical solutions.
- Perform data validation, testing, monitoring, and troubleshooting to ensure accuracy, performance, scalability, and data integrity across pipelines.
- Leverage Databricks best practices to optimize Spark jobs, SQL workloads, and overall platform performance.
- Collaborate with cross-functional teams including analysts, architects, and business users to deliver high-quality data solutions and support data-driven decision making.
- Ensure all solutions adhere to organizational standards, security guidelines, governance policies, and development best practices

>> SKILLS & QUALIFICATIONS:

To succeed in this demanding role you will need to demonstrate the following skills and experience:





- Over 2 years of hands-on experience in Data Engineering, DataWarehousing, and large-scale data processing projects.
- Strong expertise in Databricks/ MS Fabric, Advanced SQL,Python, PySpark, Data Pipeline Development, and DataModeling. Power BI experience will be a plus.
- Experience in designing and developing scalable ETL/ELTpipelines and working with structured, semi-structured, andunstructured data.
- Solid understanding of data warehousing concepts, dimensional modeling, performance optimization, and modern data architectures.
- Hands-on experience with cloud-based data platforms, preferably AWS and Azure, including cloud storage, compute, orchestration, and data integration services.
- Experience with Git/version control, CI/CD practices, and cloud-based data platforms; exposure to Microsoft Fabric and DBT is preferred.
- Ability to translate business requirements into scalable technical solutions with a focus on performance, reliability, and maintainability.

Qualification:

- Bachelor's/Master's degree in Computer Science, InformationTechnology, Engineering, or a related field.
- Relevant Databricks or Microsoft certifications are an addedadvantage.

Responsibilities

- Design, develop,



and maintain scalable data pipelines and data engineering solutions using Databricks, PySpark, Python, and Advanced SQL to support business reporting and analytics needs.
- Build and optimize ETL/ELT processes for ingesting, transforming, and processing structured and semi-structured data while ensuring data quality and reliability.
- Develop and maintain robust data models and curated datasets aligned with business and analytical requirements.
- Design and implement scalable, secure, and cost-effective data architectures on AWS and Azure, leveraging cloud-native services, Databricks, and Microsoft Fabric to support enterprise analytics and reporting requirements.
- Work closely with business stakeholders to understand requirements, ask appropriate business questions, and translate them into effective technical solutions.
- Perform data validation, testing, monitoring, and troubleshooting to ensure accuracy, performance, scalability, and data integrity across pipelines.
- Leverage Databricks best practices to optimize Spark jobs, SQL workloads, and overall platform performance.
- Collaborate with cross-functional teams including analysts, architects, and business users to deliver high-quality data solutions and support data-driven decision making.
- Ensure all solutions adhere to organizational standards, security guidelines, governance policies, and development best practices

Qualifications

- Bachelor's/Master's degree in Computer Science, InformationTechnology, Engineering, or a related field.
- Relevant Databricks or Microsoft certifications are an addedadvantage.

📌 Associate Consultant - UK FMS - Data (Gurugram)
🏢 Important Business
📍 Gurugram