Senior Data Engineer
At a glance
Senior Data Engineering role at konradgroup. Gurgaon · full-time.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain data pipelines and architectures that can handle scale
- Put Azure Fabric, Databricks or Snowflake to work in data solutions
- Improve workflow reliability, scale and speed across data processes
- Shape data through modelling and ETL or ELT, while protecting it to industry standards
- Work with stakeholders to clarify data needs and improve data quality and analytics
What you bring
- At least five years working as a data engineer or in a comparable role
- A bachelor's degree or higher in computer science, data engineering, IT or a related area
- Working knowledge of Azure Fabric, Databricks and Snowflake, plus pipeline tools, cloud services and storage
- Strong SQL, Python or related-language skills, with familiarity with big data approaches such as Spark, Hadoop or Kafka
Who this fits
This role suits a senior data engineer who can collaborate with analysts, scientists, engineers and non-technical stakeholders. The position is based in Gurgaon, India.
From the employer
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 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
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- 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.
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