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

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