Data Engineer

Minfy; Gurugram District; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Minfy is seeking a motivated AWS Data Engineer in Gurugram, Haryana, with 1-3 years of experience to join their data team. This role focuses on designing and maintaining efficient data pipelines on AWS, collaborating with various stakeholders to ensure data accessibility and quality.

The ideal candidate should have a Bachelor's degree in Computer Science or a related field, with hands-on experience in AWS services, Python, and SQL. Proficiency in tools like Amazon S3 and Redshift is essential for this role.

Qualifications

• 1-3 years of hands-on experience in data engineering.
• Proficiency in Python for data manipulation and automation.
• Strong command of SQL for data management.

Responsibilities

• Design and maintain scalable data pipelines on AWS.
• Collaborate with stakeholders to ensure data quality and accessibility.
• Work in an agile team environment for analytics needs.

Skills

AWS cloud services

Python

SQL

Data engineering

Analytical skills

Education

Bachelor's degree in Computer Science or related field

Tools

Amazon S3

Amazon Redshift

AWS Lambda

Amazon EMR

AWS Kinesis

Job description

We are seeking a motivated and skilled AWS Data Engineer with 1-3 years of experience to join our growing data team. In this role, you will be instrumental in designing, developing, and maintaining scalable and efficient data pipelines and solutions on the AWS cloud platform. You will work closely with data scientists, analysts, and other stakeholders to ensure data availability, quality, and accessibility for various analytical and reporting needs.

Required Skills and Qualifications -->

Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.

1-3 years of hands-on experience in data engineering, with a strong focus on AWS cloud services.

Proficiency in Python for data manipulation, scripting, and automation.

Strong command of SQL for data querying, transformation, and database management.

Demonstrable experience with AWS data services, including:

Amazon S3: Data Lake storage and management.

Amazon Redshift: Cloud data warehousing.

AWS Lambda: Serverless computing for data processing.

Amazon EMR: Managed Hadoop framework for big data processing (Spark/PySpark experience highly preferred).

AWS Kinesis (or Kafka): Real-time data streaming.

Strong analytical, problem-solving, and debugging skills.

Excellent communication and collaboration abilities, with the capacity to work effectively in an agile team environment.