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5 Weeks ago

Principal Data Engineer

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Pune, Maharashtra, India
Finance & Banking
Full-Time
Pattern

Overview

Job Description:
Job Summary:
Lead the design, development, and optimization of enterprise-scale data pipelines and architectures to drive data-driven decision-making. Architect efficient data tables and schemas to enhance query performance, ensuring seamless integration with cross-functional teams
Key Responsibilities:
Data Pipeline
  • Design and implement high-performance data pipelines using ETL processes, batch/streaming frameworks (e.g., Apache Spark, Airflow), and cloud platforms (AWS).
  • Optimize data ingestion, transformation, and storage workflows to meet scalability, reliability, and latency requirements.
Data Architecture & Query Efficiency
  • Architect database schemas and dimensional models (e.g., star/snowflake) to maximize query performance and reduce latency.
  • Implement indexing strategies, partitioning, and materialized views to optimize data retrieval.
Collaboration & Governance
  • Partner with data scientists, product managers, and engineers to align data infrastructure with business needs.
  • Establish data governance frameworks, ensuring compliance with security, privacy, and quality standards.
  • Mentor junior engineers and foster best practices in data engineering
Innovation & Leadership
  • Stay ahead of industry trends (e.g., AI/ML integration, real-time analytics) and advocate for emerging technologies.
  • Lead technical strategy for data infrastructure, balancing innovation with operational stability.
Technical Expertise:
  • 8+ years of experience in data engineering, with a focus on ETL, data modelling, and cloud-based architectures.
  • Proficiency in SQL, Python, and tools like Spark and Snowflake.
  • Strong knowledge of database design, dimensional modeling, and query optimization.
Leadership & Collaboration
  • Proven ability to lead teams, mentor engineers, and drive technical initiatives.
  • Experience translating business requirements into scalable technical solutions.
Preferred qualification –
  • Expertise in machine learning model deployment or real-time analytics.
  • Familiarity with DevOps practices (CI/CD, Docker, Kubernetes).
Our Core Values
  • Data Fanatics: Our edge is always found in the data
  • Partner Obsessed: We are obsessed with partner success
  • Team of Doers: We have a bias for action
  • Game Changers: We encourage innovation

Pattern is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
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