Ryval-X
Website:
ryvalx.com
Job details:
Company Description
Ryval-X empowers businesses with modern cloud computing solutions to achieve their digital transformation goals. Our team of experts provides strategic guidance to navigate the evolving cloud landscape confidently. We specialize in delivering tailored cloud strategies that align with unique business objectives, ensuring optimal deployment models and migration solutions. At Ryval-X, we are committed to driving innovation, maintaining a dynamic approach to change, and enabling businesses to thrive in a cloud-driven era.
Role Description
This is a full-time Data Architect position based in Bengaluru/Chennai with a hybrid work arrangement, allowing for some remote work. The Data Architect will be responsible for designing, developing, and implementing efficient data pipelines and infrastructure. Day-to-day tasks may include performing data modeling, managing Extract-Transform-Load (ETL) processes, and architecting scalable data warehousing solutions. Additionally, the role will involve working closely with data analytics teams to enable data-driven decision-making and optimize business operations.
Qualifications
- Expertise in Data Engineering, including designing and developing robust data pipelines.
- Proficiency in Data Modeling and database design to support analytics and reporting needs.
- Experience with Extract, Transform, Load (ETL) processes and tools to ensure efficient data flow.
- Knowledge of Data Warehousing concepts and solutions for scalable data storage and retrieval.
- Strong skills in Data Analytics to derive insights and support decision-making processes.
- Hands-on experience with programming languages such as Python, SQL, or Java.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud is highly desirable.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Proven problem-solving skills and the ability to collaborate effectively within a team.
What We’re Looking For
- 5+ years of experience in data engineering or backend engineering
- Strong experience with SQL and data modeling (dimensional, star schema, etc.)
- Hands-on expertise with Python / Scala
- Experience with modern data platforms:
- Cloud: AWS / Azure / GCP
- Warehouses: Snowflake, BigQuery, Redshift
- Data lakes: S3 / ADLS / GCS
- Experience building pipelines using Spark, Airflow, dbt, Kafka, or similar
- Strong understanding of ETL/ELT, distributed systems, and performance tuning
- Familiarity with CI/CD, infrastructure as code, and production operations
- Excellent communication and problem-solving skills
Nice to have
- Experience with real-time streaming systems
- Knowledge of data governance, security, and compliance
- Exposure to AI/ML data pipelines or feature stores
- Experience working in high-scale or SaaS environments
Why Join us
- Work on large-scale, impactful data systems
- High ownership and technical influence
- Collaborative, engineering-driven culture
- Competitive compensation and benefits
- Flexible work environment
Location:
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