Data Analyst – Databricks

Company Overview

Bridgenext is a Global consulting company that provides technology-empowered business solutions for world-class organizations. Our Global Workforce of over 800 consultants provide best in class services to our clients to realize their digital transformation journey. Our clients span the emerging, mid-market and enterprise space. With multiple offices worldwide, we are uniquely positioned to deliver digital solutions to our clients leveraging Microsoft, Java and Open Source with a focus on Mobility, Cloud, Data Engineering and Intelligent Automation. Emtec’s singular mission is to create “Clients for Life” – long-term relationships that deliver rapid, meaningful, and lasting business value.

At Bridgenext, we have a unique blend of Corporate and Entrepreneurial cultures. This is where you would have an opportunity to drive business value for clients while you innovate and continue to grow and have fun while doing it. You would work with team members who are vibrant, smart and passionate and they bring their passion to all that they do – whether it’s learning, giving back to our communities or always going the extra mile for our client.

Position Description

We are looking for members with hands-on Data analysis and engineering experience who will work on the internal and customer-based projects for Bridgenext. We are looking for someone who cares about the quality of code and who is passionate about providing the best solution to meet the client needs and anticipate their future needs based on an understanding of the market.

Key Responsibilities:

• Design, build, and optimize scalable data pipelines to support business analytics and reporting use cases
• Partner with business and product teams to understand requirements and deliver clean, reliable, and well-modeled datasets for analytics.
• Develop and maintain semantic/analytics layers on top of delta lake for BI and self-service use.
• Implement best practices for data modeling, query optimization, partitioning, clustering, and caching to improve performance and cost efficiency.
• Support governance initiatives including metadata management, lineage tracking, and data quality frameworks.

Must Have Skills

• 3+ years of experience in data analysis with a strong focus on analytics-driven data products.
• Expertise in SQL, proven track record in performance tuning of large analytical queries.
• Hands-on experience with at least one modern cloud data warehouse (Snowflake, BigQuery, Redshift, or Databricks SQL, Azure Synaps).
• Exposure to business intelligence tools preferably Tableau and designing datasets for self-service analytics.

Good to have:

• Strong skills in Python for data exploration and automation.

Professional Skills

• Strong communication and stakeholder management skills to collaborate with analysts, business stakeholders, and product managers.
• Ability to translate ambiguous business requirements into scalable, well-structured data solutions.
• A collaborative, mentoring mindset with the ability to lead technical discussions.
• Independent problem-solver with high standards for data reliability and engineering excellence.
• Adaptability to evolving business priorities and openness to learning new technologies.