Posted:1 day ago| Platform: Naukri logo

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Full Time

Job Description

Design, develop, and maintain robust end-to-end data pipelines from ingestion to presentation layers
Develop interactive, insightful Power BI dashboards and reports that surface key business metrics and enable self-service analytics
Work closely with dev teams, product owners, and business stakeholders to gather requirements, translate business needs into technical solutions, and continuously improve data delivery and usability.
Implement data model best practices and maintain scalable, well-documented datasets in BigQuery for high-performance analytics.
Monitor, troubleshoot, and optimize Airflow DAGs and workflows for reliability and efficiency, ensuring data jobs run seamlessly in production.
Maintain, expand and enhance our internal data lake solution
What Were Looking For
Required Qualifications:

3+ years of experience as a BI / Big Data Developer, Data Engineer, or similar role, building end-to-end data solutions in cloud-based environments.
Hands-on expertise with orchestrating and scheduling complex data workflows (like Airflow).
Proficiency working with Google BigQuery (or similar cloud data warehouses) including data modeling, SQL scripting, and performance optimization.
Experience developing and publishing dashboards and reports with advanced data visualization (like Power BI).
Strong understanding of ETL/ELT processes and experience integrating data from heterogeneous sources (APIs, databases, files, SaaS platforms, etc.).
Strong SQL skills and and scripting languages (e.g., Python) for data transformation and automation tasks.
Knowledge of best practices in data modeling, data warehousing, and BI architecture.
Track record of delivering high-quality, production-grade data solutions on time and within scope.
Preferred Qualifications:
Exposure to data lake architectures, real-time data streaming, or event-driven analytics.
Familiarity with DevOps concepts: CI/CD pipelines (e.g., GitHub Actions, Jenkins), infrastructure-as-code, and version control.
Background in Agile methodologies (Scrum/Kanban) and experience working in cross-functional, distributed teams.
Strong analytical and problem-solving skills, with a passion for turning complex data into actionable insights.
Excellent communication and collaboration skills able to translate between technical and non-technical audiences.

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