Senior Data Engineer

Experience: 13+ Years
Job Type: Full-Time

Job Summary

We are looking for an experienced Senior Data Engineer with 13+ years of experience in designing, developing, and maintaining scalable data pipelines and data platforms. The ideal candidate should have strong expertise in data engineering, cloud technologies, ETL/ELT, databases, and big data technologies.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
• Build and optimize data warehouses, data lakes, and data processing solutions.
• Work with large and complex datasets from multiple sources.
• Develop efficient data integration and transformation processes.
• Collaborate with Data Scientists, Data Analysts, Software Engineers, and business teams.
• Ensure data quality, accuracy, security, and reliability.
• Optimize data pipelines and database performance.
• Troubleshoot data processing and integration issues.
• Implement data engineering best practices and maintain technical documentation.
• Participate in architecture, design, development, testing, and deployment activities.
• Support cloud-based data migration and modernization initiatives.

Required Skills

• 13+ years of experience in Data Engineering or related roles.
• Strong programming experience with Python, Java, or Scala.
• Strong SQL and database development experience.
• Hands-on experience with ETL/ELT tools and data integration.
• Experience with Apache Spark, Hadoop, Kafka, or similar big data technologies.
• Strong experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Experience with cloud data platforms such as Snowflake, Databricks, BigQuery, or Redshift.
• Experience with data warehousing and data modeling.
• Knowledge of Airflow, Databricks, or other workflow orchestration tools.
• Experience with Git, CI/CD, and DevOps practices.
• Strong analytical, problem-solving, and communication skills.

Education

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
• Master’s degree in a related field is preferred.
• Relevant certifications in AWS, Azure, Google Cloud Platform, Databricks, Snowflake, or Data Engineering are a plus.