Job Title: Senior Data Engineer
Experience: 6+ Years
Employment Type: Full-Time
About the Role
We are seeking an experienced Senior Data Engineer with 6+ years of expertise in designing, building, and maintaining enterprise-scale data platforms. The ideal candidate should have strong experience in ETL/ELT development, data integration, cloud-based data engineering, and advanced analytics support. You will work closely with business stakeholders, analytics teams, and data scientists to deliver reliable, scalable, and high-performance data solutions.
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines for enterprise data processing and analytics.
- Develop data ingestion, transformation, and integration workflows across multiple data sources.
- Build and optimize data pipelines to support reporting, business intelligence, and advanced analytics.
- Collaborate with business users, analysts, and data scientists to understand data requirements and deliver effective solutions.
- Ensure high data quality, consistency, reliability, and integrity across data platforms.
- Optimize pipeline performance, scalability, and resource utilization.
- Support production and non-production data environments, ensuring high availability and operational stability.
- Participate in data model design, enhancement, and optimization.
- Develop and maintain reusable data engineering frameworks and automation processes.
- Troubleshoot data pipeline failures and resolve performance bottlenecks.
- Perform data validation, reconciliation, and quality checks.
- Support exploratory and investigative analytics by preparing clean and reliable datasets.
- Work with modern data engineering and analytics tools to accelerate data processing and reporting.
- Collaborate with cross-functional teams throughout the software development lifecycle.
- Document data architecture, pipelines, workflows, and technical processes.
- Mentor junior engineers and promote data engineering best practices.
Required Skills
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
- 6+ years of experience in Data Engineering and ETL/ELT development.
- Strong expertise in SQL and database optimization.
- Experience designing and developing scalable ETL/ELT pipelines.
- Strong knowledge of data warehousing concepts and dimensional data modeling.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Hands-on experience with modern data engineering tools and frameworks.
- Experience with Apache Spark, Databricks, or similar big data technologies.
- Proficiency in Python for data engineering and automation.
- Experience working with relational and NoSQL databases.
- Knowledge of workflow orchestration tools such as Apache Airflow or similar.
- Experience integrating structured, semi-structured, and unstructured data sources.
- Strong understanding of data governance, security, and compliance best practices.
- Experience with Git and version control systems.
- Excellent analytical, troubleshooting, and problem-solving skills.
- Strong communication and collaboration skills.
Preferred Qualifications
- Experience with enterprise-scale analytics platforms.
- Knowledge of data lakes and lakehouse architectures.
- Familiarity with AI/ML data pipelines and analytics use cases.
- Experience with containerization technologies such as Docker and Kubernetes.
- Exposure to CI/CD practices for data engineering workflows.
- Experience working in Agile/Scrum environments.
Work Location: Remote
