Senior Data Engineer Gurgaon

Konrad; Gurugram District; In loco; INR 3.000.000 - 5.000.000; Tempo pieno

Descrizione del lavoro

Konrad is a next generation digital consultancy seeking a Senior Data Engineer to design, build, and maintain scalable data platforms and pipelines. You will work closely with data analysts, scientists, and engineers to deliver robust data solutions using Azure Fabric, Databricks, and Snowflake.

The ideal candidate has 5+ years in data engineering, strong SQL and Python skills, and hands-on experience with big data technologies.

Competenze

• Bachelor's degree or higher in CS, Data Eng, IT, or related field.
• 5+ years of professional experience as a Data Engineer or similar role.
• Proficiency in Azure Fabric, Databricks, and Snowflake.
• Hands-on experience with data pipelines, cloud services, and storage solutions.
• Strong SQL and Python programming skills; experience with Spark, Hadoop, Kafka.

Mansioni

• Design, build, and maintain scalable data pipelines and architectures.
• Implement solutions on Azure Fabric, Databricks, and Snowflake.
• Optimize workflows for reliability, scalability, and performance.
• Collaborate with analysts, scientists, and engineers to meet data needs.
• Ensure data security and compliance with industry standards.
• Model data and perform ETL/ELT.

Conoscenze

SQL

Python

Big data concepts

Data modelling

ETL/ELT

Formazione

Bachelor's degree in CS/Data Eng/IT or related field

Strumenti

Azure Fabric

Databricks

Snowflake

Descrizione del lavoro

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

About The Role

As a Senior 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.
• 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.

Nice to have

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

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.