Data Engineer

Job Title:

Job Summary:

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines. 
• Build and optimize data integration solutions from multiple internal and external data sources. 
• Develop and maintain data warehouses, data lakes, and data marts. 
• Ensure data quality, integrity, security, and governance across enterprise systems. 
• Monitor, troubleshoot, and optimize data pipeline performance. 
• Collaborate with business analysts, data scientists, and software engineers to understand data requirements. 
• Implement data models that support reporting, analytics, and operational systems. 
• Automate data workflows and deployment using CI/CD best practices. 
• Create technical documentation for data architecture, pipelines, and processes. 
• Stay current with emerging data engineering technologies and recommend improvements. 

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field. 
• 3+ years of experience in data engineering or a similar role. 
• Strong proficiency in SQL and database design. 
• Experience with Python, Scala, or Java. 
• Hands-on experience with ETL/ELT tools and data integration frameworks. 
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. 
• Knowledge of data warehousing concepts and dimensional modeling. 
• Experience with version control systems such as Git. 
• Strong analytical, problem-solving, and communication skills. 

Preferred Qualifications

• Experience with SSIS Apache Spark, Kafka, Airflow, or Databricks. 
• Experience with Snowflake, Redshift, BigQuery, or Synapse. 
• Familiarity with DevOps and Infrastructure as Code (Terraform, Docker, Kubernetes). 
• Experience working in Agile/Scrum environments. 
• Cloud certifications (AWS, Azure, or GCP) are a plus. 

Technical Skills

• SQL 
• SSIS
• Python 
• Apache Spark 
• Apache Kafka 
• Apache Airflow 
• Snowflake 
• Git 
• CI/CD 

Soft Skills

• Strong problem-solving and analytical thinking 
• Excellent communication and collaboration 
• Attention to detail 
• Time management and organizational skills 
• Ability to work independently and within cross-functional teams 

Preferred Experience

• Experience designing enterprise-scale data platforms. 
• Experience building real-time and batch data pipelines. 
• Knowledge of data governance, security, and compliance standards. 
• Experience supporting business intelligence and analytics solutions.