Data Engineer

Job Summary 

The Data Engineer will be responsible for building, maintaining, and optimizing scalable data pipelines and infrastructure to support analytics, reporting, and machine learning initiatives. 

Key Responsibilities 

• Design and develop ETL/ELT pipelines. 
• Build and manage data lakes, warehouses, and data marts. 
• Ensure data quality, governance, security, and reliability. 
• Integrate data from multiple internal and external sources. 
• Develop batch and real-time data processing solutions. 
• Work with business teams to define data requirements. 
• Optimize database performance and data storage solutions. 
• Support BI and analytics teams with clean, structured datasets. 
• Implement monitoring and alerting for data systems. 

Required Skill Set 

• Strong SQL skills and experience with relational databases. 
• Proficiency in Python, Java, or Scala. 
• Experience with ETL tools such as Talend, Informatica, Apache NiFi, or Airflow. 
• Knowledge of big data technologies such as Hadoop, Spark, Kafka, Hive. 
• Familiarity with cloud data services such as AWS Redshift, Glue, S3, Azure Data Factory, BigQuery. 
• Experience with Snowflake, Databricks, or similar platforms. 
• Understanding of data modeling, warehousing, and governance. 
• Experience with API integration and data ingestion. 

Qualifications 

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field. 
• 3–8 years of experience in data engineering. 
• Certifications in cloud or big data technologies are preferred.