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C

Data Engineering & Analytics Associate

CirrusLabs
Location not stated
Entry level
6 months ago
  • AI
  • Azure Databricks
  • Data Architecture
  • Azure
  • Databricks
  • ETL
  • ELT
  • Python
  • PySpark
  • SQL
  • Delta Lake
  • Unity Catalog
  • Power BI
  • Tableau
  • Data Visualization
  • AI/ML
6 months ago
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We areCirrusLabs. Our vision is to become the world's most sought-after niche digital transformation company that helps customers realize value through innovation. Our mission is to co-create success with our customers, partners and community. Our goal is to enable employees to dream, grow and make things happen. We are committed to excellence. We are a dependable partner organization that delivers on commitments. We strive to maintain integrity with our employees and customers. Every action we take is driven by value. The core of who we are is through our well-knit teams and employees. You are the core of a values driven organization.

You have an entrepreneurial spirit. You enjoy working as a part of well-knit teams. You value the team over the individual. You welcome diversity at work and within the greater community. You aren't afraid to take risks. You appreciate a growth path with your leadership team that journeys how you can grow inside and outside of the organization. You thrive upon continuing education programs that your company sponsors to strengthen your skills and for you to become a thought leader ahead of the industry curve.

You are excited about creating change because your skills can help the greater good of every customer, industry and community. We are hiring a talented<Job Title>to join our team. If you're excited to be part of a winning team, CirrusLabs (http://www.cirruslabs.io) is a great place to grow your career.

Role: Data Engineering & Analytics Associate
Location: Atlanta, GA (Hybrid – Banking Client Environment)
Industry: Banking & Financial Services


🌟 About the Opportunity (Why this role is different)

At CirrusLabs, we are building anext-generation Data Modernization team for a leading banking client.

This is not just a "data role” — this is afront-row seat to how modern banks are transforming into AI-driven enterprises.

As part of ourRising Stars Program, you will:
• Work onAzure Databricks Lakehouse platform
• Help migrate legacy systems intocloud-native data architecture
• Build pipelines that powerAI, analytics, fraud detection, and customer insights
• Contribute to systems that enablereal-time business decisions at scale

⸻

🎯 What You'll Work On (Real Banking Data Modernization Projects)

☁️ Cloud Data Modernization
• Support migration from legacy systems toAzure + Databricks Lakehouse
• Work withstructured, semi-structured, and streaming data
• Help build scalable, cloud-native data platforms

👉 Banks are actively modernizing data infrastructure to improve analytics and innovation

⸻

⚙️ Data Engineering & Pipelines
• Build and optimize ETL/ELT pipelines using:
• Python / PySpark
• SQL
• Databricks Workflows
• Work withDelta Lake architecture

👉 Modern data platforms unify data engineering, analytics, and AI workloads

⸻

🧠 Data Analytics & AI Enablement
• Enable data for:
• Customer insights
• Fraud detection
• Risk analytics
• Operational reporting
• Support ML/AI use cases using curated datasets

👉 AI-driven analytics enables faster, smarter decision-making in banking

⸻

📊 Data Governance & Quality
• Ensure data accuracy, consistency, and lineage
• Work with governance frameworks (e.g., Unity Catalog concepts)
• Support regulatory-grade data reporting

⸻

🚀 Data Products & Business Insights
• Build datasets powering dashboards (Power BI/Tableau)
• Support creation ofdata products used by business teams
• Help transform raw data intoactionable insights

⸻

🧠 What We're Looking For (Fresh Graduate Profile)

🎓 Education
• Bachelor's or Master's in:
• Computer Science
• Data Science / Analytics
• Information Systems
• Engineering (any discipline with data exposure)

⸻

💡 Core Skills (Must Have Potential)
• Strong fundamentals in:
• SQL
• Python (or willingness to learn)
• Understanding of:
• Data structures
• Basic ETL concepts
• Analytical thinking and problem-solving mindset

⸻

🚀 Bonus (Nice to Have)
• Exposure to:
• PySpark / Spark
• Cloud platforms (Azure preferred)
• Data visualization (Power BI / Tableau)
• Knowledge of:
• Data warehousing concepts
• APIs and data integration

⸻

🧩 What You Will Learn (Career Acceleration Path)

This program is designed to fast-track you into:

👉Data Engineer → Senior Data Engineer → Data Architect → AI/Data Leader

You will gain hands-on experience in:
• Azure Data Ecosystem (ADF, Databricks, Storage)
• Lakehouse Architecture (Delta Lake)
• Data Engineering at enterprise scale
• AI/ML data pipelines
• Financial services data systems

⸻

🌍 Why This Role Matters

Banks today are not just financial institutions — they aredata companies.
• Every transaction, fraud signal, and customer interaction depends on data
• AI and analytics rely onclean, scalable, real-time data pipelines
• Data platforms directly impactrevenue, risk, and customer experience

👉 Without modern data systems, banks cannot compete or innovate

Data Engineering & Analytics Associate · CirrusLabs

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