Data Engineer

We are looking for a Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate should have strong experience with SQL, Python, ETL/ELT processes, databases, and cloud platforms.

Responsibilities:

• Design and develop scalable data pipelines.
• Build and maintain ETL/ELT processes.
• Collect, process, and transform large datasets.
• Work with databases and data warehouses.
• Ensure data quality, accuracy, and security.
• Collaborate with Data Analysts, Data Scientists, and other teams.
• Optimize data systems and workflows.

Required Skills:

• Strong knowledge of SQL and Python
• Experience with ETL/ELT tools
• Knowledge of AWS, Azure, or GCP
• Experience with Snowflake, BigQuery, or Redshift
• Familiarity with Apache Spark and Airflow
• Understanding of data modeling and database concepts

• Bachelor’s degree in Computer Science, IT, Engineering, or a related field.
• Experience as a Data Engineer or in a similar role.
• Strong knowledge of SQL and Python.
• Experience building and maintaining ETL/ELT data pipelines.
• Knowledge of relational and NoSQL databases.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Familiarity with data warehouses such as Snowflake, BigQuery, or Redshift.
• Experience with Apache Spark, Hadoop, or Kafka is a plus.
• Familiarity with workflow orchestration tools such as Apache Airflow.
• Understanding of data modeling, data quality, and data security.
• Strong problem-solving and communication skills.