Data/ETL Engineer

About the Role**

We are looking for a talented Data Engineer to design, implement, and maintain scalable data systems. In this role, you will create high-performance data pipelines, improve data processing workflows, and help ensure dependable data operations across the organization.

**Job Title**

Data Engineer.

**Responsibilities**

• Design, build, and maintain scalable data pipelines using technologies such as Apache Spark, Kafka, and Airflow.
• Design, develop, and optimize ETL and ELT workflows to ingest data from structured and unstructured sources.
• Build and oversee data models and data warehouses including Snowflake, Redshift, and BigQuery.
• Work with cross-functional teams to gather data requirements and deliver high-quality data solutions.
• Maintain data quality while ensuring security and adherence to data governance policies.
• Monitor, troubleshoot, and optimize the performance of data systems.
• Automate manual data processes and provide support for data operations.
  
  

**Required Skills**

• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field.
• 2+ years of experience in data engineering or a related field.
• Strong programming skills in Python, Scala, or Java.
• Proficiency in SQL and experience with relational and NoSQL databases such as PostgreSQL and MongoDB.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Familiarity with big data technologies such as Spark, Hadoop, and Kafka.
• Experience with data orchestration tools such as Apache Airflow or Prefect.
• Strong knowledge of data modeling, data warehousing, and data architecture best practices.
  
  

**Desirable Skills**

• Experience with containerization tools such as Docker and orchestration tools such as Kubernetes.
• Knowledge of CI/CD and DevOps practices for data pipelines.
• Exposure to machine learning pipelines and model deployment.
• Certification in cloud platforms or data engineering tools.
  
  

**Education Qualification**

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