Data Engineer (Databricks/Azure)

Overview

Associate Data Engineer

Experience : 3 - 5 Years of Experience

Location: Gurugram, India (MNC client)

Job Type: Full-Time, On-Site

About the role

We are seeking a skilled Associate Data Engineer with 3-5 years of experience to join our dynamic team. In this role, you will design, implement, and manage scalable data pipelines and architectures to support our client's data-driven initiatives. Your expertise will be crucial in ensuring data reliability, efficiency, and quality.

Key Responsibilities:

1. Create and maintain optimal data pipeline architecture for data extraction, transformation, and loading (ETL) from various data sources.

2. Assemble large, complex data sets that meet functional and non-functional business requirements.

3. Identify, design, and implement internal process improvements, including automating manual processes and optimizing data delivery.

4. Work closely with data architects, data analysts, and other stakeholders to assist with data-related technical issues and support their data infrastructure needs.

5. Develop and maintain comprehensive documentation for data pipelines, architectures, and processes.

Requirements :

1. Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.

2. Over 3-5 years of experience in data engineering or a similar role.

3. Proficiency in big data tools and frameworks such as Hadoop, Spark, and Kafka.

4. Strong experience with relational SQL and NoSQL databases.

5. Expertise in building and optimizing data pipelines, architectures, and data sets.

6. Familiarity with cloud services like AWS, Azure, or Google Cloud Platform.

7. Excellent problem-solving skills and attention to detail.

8. Strong communication and collaboration abilities.

intrested candidate share cv hr@resolink.in

Job Type: Full-time

Pay: ₹594,000.35 - ₹150,000,000.00 per year

Schedule:

• Day shift

Experience:

• Data Engineer: 4 years (Required)
• Databricks: 2 years (Required)
• Azure: 2 years (Required)

Work Location: In person