Senior Data Engineer

1w1 week ago

Konrad Group

Gurugram, IN · Full-time · INR 2,500,000 – INR 4,500,000

About this role

Konrad is a next generation digital consultancy dedicated to solving complex business problems for global clients with creative and forward-thinking solutions. Employees enjoy a culture built on innovation and commitment to creating best-in-class digital products used by hundreds of millions of consumers. We hire exceptionally smart, analytical, and hard-working people who are lifelong learners.

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

You will work with internal stakeholders to understand data needs and deliver tailored solutions. Daily tasks include optimizing data workflows for reliability, scalability, and performance. You will also handle data modeling, ETL/ELT processes, and ensure data security and compliance with industry standards.

Identify and recommend innovative solutions to enhance data quality and analytics capabilities. Thrive in a collaborative environment focused on forward-thinking data engineering. Join a team committed to lifelong learning and excellence in digital consultancy.

Requirements

Bachelor’s degree or higher in Computer Science, Data Engineering, Information Technology, or a related field
5+ 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

Responsibilities

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