Data Engineer

konradgroup; Gurgaon; Hybrid; INR 1,500,000 - 2,800,000; Full time

Benefits offered by this job

Socials, Outings & Retreats

One day per week Work From Home

Subsidized Lunch

Culture of Learning & Development

Job summary

Konrad is seeking an experienced Data Engineer to design, build, and maintain scalable data platforms and pipelines. You will work with Azure Fabric, Databricks and Snowflake to deliver reliable, secure data solutions for analysts, scientists, and engineers.

Responsibilities include data pipeline design, ETL/ELT, optimization for performance, and collaboration with stakeholders to align data initiatives with business needs. A strong focus on data security and industry best practices is essential.

Qualifications

• Bachelor’s degree or higher in Computer Science, Data Engineering or a related field
• At least 3 years of professional Data Engineer experience
• Proficiency with Azure Fabric, Databricks and Snowflake

Responsibilities

• Design, build and manage robust data pipelines and architectures.
• Implement solutions on Azure Fabric, Databricks and Snowflake.
• Optimize data workflows for reliability, scalability and performance.
• Collaborate with stakeholders to understand data needs and deliver tailored solutions.
• Ensure data security and compliance with industry standards.
• Perform ETL/ELT data modeling and extraction, transformation and loading.
• Identify innovative ways to improve data quality and analytics capabilities.

Skills

SQL

Python

Spark

Hadoop

Kafka

Education

Bachelor’s degree

Tools

Azure Fabric

Databricks

Snowflake

Job description

Who We Are

Konrad is a next-generation digital consultancy that solves complex business problems for global clients with creative, forward-thinking solutions. We're passionate about innovation and about building best-in-class digital and AI-enabled products.

About The Role

As a Data Engineer you’ll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Azure Fabric, Databricks, and Snowflake will be essential as you collaborate closely with data analysts, scientists, and other engineers to ensure reliable, secure, and efficient data solutions.

What You’ll Do

• Design, build, and manage robust data pipelines and data architectures.
• Implement solutions leveraging platforms such as Azure Fabric, Databricks, and Snowflake.
• Optimize data workflows, ensuring reliability, scalability, and performance.
• Collaborate with internal stakeholders to understand data needs and deliver tailored solutions.
• Ensure data security and compliance with industry standards and best practices.
• Perform data modelling, data extraction, transformation, and loading (ETL/ELT).
• Identify and recommend innovative solutions to enhance data quality and analytics capabilities.

Qualifications

• 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 similar role.
• Proficiency in data platforms such as 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 (Spark, Hadoop, Kafka).
• Excellent analytical, troubleshooting, and problem-solving skills.
• Ability to effectively communicate technical concepts clearly to non-technical stakeholders.

Nice to have

• Certifications related to Azure Data Engineering, Databricks, or Snowflake.
• Familiarity with DevOps practices and CI/CD pipelines.

Perks and Benefits

• Socials, Outings & Retreats
• One day per week Work From Home flexibility
• Subsidized Lunch
• Culture of Learning & Development

Konrad is committed to maintaining a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status will receive consideration for employment. If you have any accessibility requirements or concerns regarding the hiring process or employment with us, please notify us so we can provide suitable accommodation.

While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted.