About Company

Tudip Technologies Pvt. Ltd is a CMMI Level 5 extreme technology company. Careers at Tudip Technologies are not just jobs, but a promise of a bright and dynamic future. Tudip provides ample opportunities to grow within the company technically as well as a technocrat by promoting entrepreneurship. Tudip Technologies’ careers will enable you to help clients enhance and improve while you build your career. Tudip is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We are a place which defines Integrity, Innovation, and Serenity. Tudip provides you a better platform that translates an individual into an experienced and immensely skilled professional through an ethical and vibrant business environment. We are here for effective client servicing, taking care of our employees’ needs, and creating a success story to remember.

Job Description

Experienced Data Engineer skilled in building data pipelines, managing databases, and handling ETL processes. Proficient in tools like SQL, Python, and cloud platforms. Focused on ensuring data quality and supporting analytics through efficient data systems.

Please read the job criteria below and drop us an email at joinus@tudip.com OR create an account at our Recruitment Portal to get started.

Key Responsibilities

• Design and develop scalable data pipelines.
• Extract, transform, and load (ETL/ELT) data from various sources.
• Build and maintain data warehouses and data lakes.
• Integrate structured and unstructured data.
• Manage and optimize databases (SQL and NoSQL).
• Ensure data quality, accuracy, and consistency.
• Monitor and improve data pipeline performance.
• Collaborate with data scientists, analysts, and business teams.
• Maintain data security and follow compliance regulations (e.g., GDPR).
• Document data workflows, architecture, and systems.
• Use tools like Apache Spark, Kafka, Airflow, Hadoop, Snowflake, etc.
• Work with cloud platforms like AWS, GCP, or Azure.
• Troubleshoot data issues and perform root cause analysis.
• Automate data validation and cleaning processes.
• Stay updated with emerging data technologies and best practices.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Minimum of 3+ years of experience in data engineering.
• Strong experience in Python, Java, Scala, SQL, AWS, and TypeScript.
• Excellent verbal and written communication skills, with the ability to clearly explain technical concepts to stakeholders at all levels.
• Strong analytical and problem-solving skills, with a focus on continuous improvement.