4 months ago
Gurgaon, IndiaMid Level
Responsibilities
- Design, build, and manage scalable data pipelines and data architectures.
- Implement data solutions using Azure Fabric, Databricks, and Snowflake.
- Optimize data workflows for reliability, scalability, and performance.
- Collaborate with stakeholders, analysts, scientists, and engineers to understand data needs and deliver tailored solutions.
- Perform data modeling, data extraction, transformation, and loading using ETL/ELT processes.
- Ensure data security and compliance with industry standards and best practices.
- Identify solutions to improve data quality and analytics capabilities.
Requirements
- Bachelor’s degree or higher in Computer Science, Data Engineering, Information Technology, or a related field.
- At least 3 years of professional experience as a Data Engineer or in a similar role.
- Proficiency with Azure Fabric, Databricks, and Snowflake.
- Hands-on experience with data pipeline tools, cloud services, and storage solutions.
- Strong programming skills in SQL, Python, or related languages.
- Experience with big data technologies and concepts including Spark, Hadoop, and Kafka.
- Strong analytical, troubleshooting, problem-solving, and communication skills.
- Azure Data Engineering, Databricks, or Snowflake certifications are nice to have.
- Familiarity with DevOps practices and CI/CD pipelines is nice to have.
Benefits
- Socials, outings, and retreats.
- One day per week of work-from-home flexibility.
- Subsidized lunch.
- Culture of learning and development.
Tech Stack
Categories
Data Engineering
About Konrad
Konrad is a privately held digital consultancy that designs and builds custom web and mobile applications, AI-enabled products, and customer experiences for global enterprises and consumer brands. It earns revenue through strategy, design, and software engineering services spanning UX, e‑commerce, and digital transformation. Headquartered in New York, it operates internationally with teams in Toronto, London, San José, and Gurgaon.