Data/ETL Engineer

Ascendion; Hyderabad; On-site; INR 2,400,000 - 4,200,000; Full time

Job summary

Ascendion in Hyderabad, India, is seeking an experienced data engineer to design and implement robust data pipelines using PySpark or Java, and to leverage AWS services for scalable data processing.

The role focuses on data warehousing, ETL, and collaborative CI/CD practices with Git, while solving complex analytics problems and contributing to cloud-native architecture across platforms like Azure or Google Cloud.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• 5–10 years of PySpark or Java experience.
• Experience with AWS services (EC2, S3, Lambda, Glue, EMR).
• Knowledge of data warehousing and ETL processes.
• Experience with CI/CD pipelines and Git.
• Experience with Azure or Google Cloud.
• Familiarity with Hadoop or Spark.

Responsibilities

• Develop data pipelines using PySpark or Java.
• Work with AWS data services for processing.
• Implement data warehousing and ETL processes.
• Collaborate to maintain CI/CD pipelines and Git.
• Analyze data and solve complex problems.

Skills

PySpark

Java

Data pipelines

CI/CD

Git

AWS

Big data (Hadoop/Spark)

Data warehousing

Cloud platforms (Azure/GCP)

Analytical thinking

Problem solving

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Git

AWS

Hadoop

Spark

Job description

• Utilize PySpark or Java to develop data pipelines.
• Work with AWS services like EC2, S3, Lambda, Glue, and EMR for data processing.
• Implement data warehousing solutions and ETL processes.
• Collaborate with team members to maintain CI/CD pipelines and version control systems like Git.
• Solve complex problems and analyze data effectively.
• Proficiency in PySpark (minimum 5-10 years) OR Java (minimum 5-10 years).
• Extensive experience with AWS services such as EC2, S3, Lambda, Glue, and EMR.
• Familiarity with data warehousing solutions and ETL processes.
• Knowledge of CI/CD pipelines and version control systems like Git.
• Experience with other cloud platforms like Azure or Google Cloud.
• Knowledge of big data technologies such as Hadoop or Spark.
• Bachelor's degree in Computer Science, Engineering, or related field.