Job Description
Job Title: Architect
Location: Hyderabad, India (Hybrid)
Experience Required: 8+ Years
Employment Type: Full-time
About the Role:
We are seeking a highly experienced Data Engineer Architect to lead the design and development of scalable, robust, and high-performance data solutions. This role requires deep expertise in Data Engineering, GCP, Ascend, Python, and ETL processes , as well as a strong background in architectural design and best practices . You will work closely with cross-functional teams to build end-to-end data pipelines and drive data architecture decisions.
Key Responsibilities:
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Architect, design, and develop robust data pipelines and ETL workflows.
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Lead the implementation of scalable data architecture on Google Cloud Platform (GCP) .
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Leverage Ascend.io to orchestrate and automate data engineering tasks.
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Write efficient, reusable, and scalable code in Python .
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Collaborate with stakeholders to define data strategy and architectural roadmaps.
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Optimize data solutions for performance, reliability, and scalability.
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Ensure data quality, security, and governance are embedded in all solutions.
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Guide and mentor junior data engineers on best practices and architectural standards.
Key Skills & Qualifications:
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8+ years of experience in Data Engineering and ETL development.
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Proven experience with GCP services (BigQuery, Dataflow, Cloud Storage, Pub/Sub, etc.).
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Strong experience using Ascend.io for data pipeline orchestration.
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Advanced Python programming skills for data engineering tasks.
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In-depth knowledge of data modeling, warehousing, and lakehouse architectures .
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Experience with tools like Airflow, DBT, or other orchestration frameworks is a plus.
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Strong understanding of CI/CD , version control (Git), and DevOps for data workflows.
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Ability to work in a hybrid environment with distributed teams.
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Excellent problem-solving, communication, and documentation skills.
Preferred Qualifications:
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GCP Professional Data Engineer or Architect certification.
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Experience working in agile teams and modern data stack environments.
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Familiarity with data governance tools and principles.
Why Join Us?
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Opportunity to work on cutting-edge cloud data solutions.
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Flexible hybrid work model in Hyderabad.
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Dynamic team with a strong culture of learning and innovation.
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Competitive compensation and benefits.
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