Senior Data Solutions Developer

20 hours ago

Aurangabad, Maharashtra, India beBeeDataArchitect Full time ₹ 20,00,000 - ₹ 25,00,000

Our organization is seeking a Data Architect to design and implement scalable data engineering solutions. The ideal candidate will have extensive experience in ETL tools, data architecture, and analytics.

About the Role
  • Develop cloud-native data architectures on platforms like Databricks and Snowflake.
  • Lead the development of data pipelines, ETL/ELT processes, and data integration strategies.
  • Collaborate with business and technical teams to define data architecture standards, governance, and security models.

This position requires strong technical leadership skills, excellent communication abilities, and a passion for innovation. We are committed to fostering a high-trust and high-performance work culture.

Requirements
  • Bachelor's degree in computer science or related field.
  • Demonstrated continued learning through technical certifications or related methods.
  • Over 10+ years of relevant experience in data engineering, data architecture, or analytics.

We value diversity and inclusion in our workplace. Our team members enjoy working collaboratively to drive business results and make a meaningful impact. If you are passionate about delivering exceptional outcomes and driving business success, we encourage you to apply.

Award Winning Company

We have been recognized as a leader in our industry, demonstrating our commitment to excellence and customer satisfaction. Our goal is to empower organizations to derive value from their data-driven capabilities.

Purpose

Our purpose is to enable businesses to make informed decisions by providing actionable insights from data analytics. This role plays a critical part in achieving this objective.

Key Responsibilities
  • Design and optimize data architectures for scalability, performance, and cost-efficiency.
  • Develop and implement data pipelines, ETL/ELT processes, and data integration strategies.
  • Collaborate with cross-functional teams to ensure data architecture standards, governance, and security models align with business needs.

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