Data Engineer

As a data engineer with 2-4 years of experience, you d typically find yourself in a mid-level position where youre expected to handle a variety of responsibilities related to data processing, storage, and analysis. Here s a typical job description for a data engineer at this experience level:

We are seeking a skilled data engineer to join our team. The ideal candidate will have 2-4 years of experience working with data pipelines, databases, and data warehousing solutions. As a data engineer, you will be responsible for designing, developing, and maintaining our data infrastructure to support our growing data needs.

• Develop and maintain data integration solutions to consolidate data from various sources (e.g., databases, APIs, flat into a unified format for analysis and reporting.

• Design and optimize databases to ensure efficient storage and retrieval of data.

• Collaborate with data scientists and analysts to understand data requirements and provide clean and reliable datasets for analysis.

• Monitor and troubleshoot data pipelines to ensure data integrity and reliability.

• Implement data quality checks, data profiling, and data governance practices to ensure data accuracy, consistency, and reliability across different data sets.

• Stay updated with the latest technologies and best practices in data engineering and recommend improvements to our data infrastructure.

• Document data engineering processes and workflows for knowledge sharing and future reference.

• Bachelor s degree in Computer Science, Engineering, or a related field.

• 2-4 years of experience working as a data engineer or in a similar role.

• Proficiency in SQL and experience with database technologies such as PostgreSQL, MySQL, or similar.

• Experience with data pipeline tools such as Apache Airflow, Flink, or similar.

• Strong programming skills in languages such as Python or Scala.

• Familiarity with cloud platforms such as AWS, Azure, or GCP and their data services (e.g., S3, Redshift, BigQuery).

• Knowledge of data modeling and ETL processes.

• Excellent problem-solving and analytical skills.

• Strong analytical, problem-solving, and communication skills, with the ability to collaborate effectively in a team environment.

• Experience with big data technologies such as Hadoop, Spark, or Kafka.

• Knowledge of data governance and compliance standards.

• Experience with containerization technologies such as Docker and orchestration tools like Kubernetes.