Note: The job is a remote job and is open to candidates in USA. CitiusTech is hiring a Senior Data Engineer to build scalable data pipelines, ETL workflows, and data warehouse solutions. The role uses Databricks, PySpark, Python, SQL, and cloud technologies to support analytics, reporting, and data-driven decision-making.
Responsibilities
- Design, develop, and maintain scalable and high-performance ETL pipelines and data processing workflows
- Build and optimize data ingestion frameworks for processing large volumes of structured and unstructured data
- Perform data preprocessing, transformation, and analytics using Python and PySpark
- Develop and manage ETL processing pipelines using AWS/Azure Databricks
- Build complex SQL queries and perform data analysis to support business and reporting requirements
- Design and implement data warehouse solutions to support enterprise analytics and reporting
- Work closely with cross-functional teams to understand data requirements and develop scalable solutions
- Develop reliable, efficient, and reusable data processing frameworks that support evolving business needs
- Support data validation, quality checks, performance tuning, and optimization of ETL processes
- Work in a fast-paced environment to deliver innovative data engineering solutions aligned with business objectives
- Create reports and visualizations using Tableau to support data-driven decision-making
Skills
- 10+ Years
- Engineering Degree – BE/ME/BTech/MTech/BSc/MSc
- Strong experience with AWS/Azure Databricks for developing and managing large-scale data processing and ETL pipelines
- Hands-on expertise in Spark (PySpark), Spark SQL, Python, SQL, ETL development, and Data Warehouse concepts
- Proven experience building scalable, high-performance data processing frameworks and ETL workflows
- Strong ability to develop complex SQL queries and perform detailed data analysis
- Experience in data ingestion, data transformation, and data pipeline development
- Hands-on experience working with cloud platforms such as AWS or Azure
- Strong understanding of data engineering best practices, performance optimization, and scalable architecture design
- Excellent visual, verbal, and stakeholder communication skills
- Technical certification in multiple technologies is desirable
- Knowledge of ETL concepts, Data Ingestion, and Shell Scripting (DOS/Bash)
- Experience building ETL processing pipelines using AWS Databricks or Azure Databricks
- Experience with Tableau for reporting and data visualization
- Exposure to AWS cloud services and data engineering ecosystems
- Experience working in Agile and fast-paced delivery environments
Benefits
- Remote work
- A fun, transparent, non-hierarchical, diverse work culture focused on continuous learning and work-life balance
- Opportunities for faster growth and higher learning
Company Overview
Company H1B Sponsorship