Jr Data Engineer

Role Overview A Junior Data Engineer is responsible for building, maintaining, and optimizing data pipelines and data infrastructure. This role focuses on collecting, transforming, and storing data to support analytics, reporting, and business intelligence. Key Responsibilities Develop and maintain data pipelines for data ingestion and processing Extract, transform, and load (ETL) data from multiple sources Design and manage data storage solutions (data warehouses, data lakes) Write efficient SQL queries for data extraction and transformation Ensure data quality, integrity, and consistency across systems Monitor and troubleshoot data pipeline issues Collaborate with data analysts and data scientists to meet data needs Optimize data workflows for performance and scalability Implement data validation and error-handling mechanisms Document data processes and pipeline architectures Required Skills Strong knowledge of SQL for data querying and transformation Proficiency in Python or Java for data processing Understanding of ETL processes and data pipelines Familiarity with databases (MySQL, PostgreSQL) Basic knowledge of data warehousing concepts Understanding of data structures and algorithms Problem-solving and debugging skills Preferred Skills Experience with big data tools (Apache Spark, Hadoop) Familiarity with cloud platforms (AWS, Azure, Google Cloud Platform) Knowledge of data warehouse tools (Amazon Redshift, Google BigQuery, Snowflake) Exposure to streaming technologies (Kafka) Understanding of workflow orchestration tools (Apache Airflow) Basic knowledge of Docker and CI/CD pipelines

Tools & Technologies Languages:

SQL, Python, Java Tools:

Apache Spark, Airflow, Kafka Databases:

MySQL, PostgreSQL Data Warehouses:

Redshift, BigQuery, Snowflake Platforms:

Linux, AWS/Azure/Google Cloud Platform