Data Engineer

Cloneifypro; Coimbatore; On-site; INR 600,000 - 900,000; Full time

Job summary

Cloneifypro is seeking a Data Engineer with 1–2 years of experience to join our team in Coimbatore. You will build, maintain, and optimize data pipelines supporting BI, analytics, and data-driven decisions.

You will work with SQL, Python, ETL workflows, and various databases, ensuring data quality, performance, and security while collaborating with analysts and developers.

Qualifications

• 1–2 years of experience in Data Engineering or a related technical role.
• Strong knowledge of SQL and relational databases.
• Good programming knowledge in Python.
• Understanding of ETL and ELT processes.
• Basic knowledge of data warehousing concepts.

Responsibilities

• Design, develop, and maintain scalable data pipelines for collecting, processing, and transforming structured and unstructured data.
• Build and manage ETL (Extract, Transform, Load) workflows to integrate data from multiple sources.
• Work with databases such as MySQL, PostgreSQL, SQL Server, or MongoDB to store, retrieve, and manage data efficiently.
• Write, optimize, and execute SQL queries for data extraction, transformation, and reporting.
• Develop data processing scripts using Python to automate repetitive data-related tasks.

Skills

SQL

Python

ETL/ELT concepts

Data warehousing concepts

REST APIs

Version control (Git)

Cloud basics

Analytics

Communication & teamwork

Education

Bachelor's degree in Computer Science/IT/Engineering

Tools

MySQL

PostgreSQL

SQL Server

MongoDB

Apache Spark

Airflow

Docker

BigQuery

AWS

Job description

Experience: 1–2 Years
Job Type: Full-Time
Department: Data Engineering

Job Summary

We are looking for a skilled and motivated Data Engineer with 1–2 years of experience to join our growing team. The ideal candidate should have a strong understanding of data processing, database management, ETL pipelines, and data integration. You will work with our technical team to build, maintain, and optimize data pipelines that support business intelligence, analytics, and data-driven decision-making.

The candidate should be passionate about working with large datasets, solving technical challenges, and developing efficient data solutions.

Roles and Responsibilities

1. Design, develop, and maintain scalable data pipelines for collecting, processing, and transforming structured and unstructured data.

2. Build and manage ETL (Extract, Transform, Load) workflows to integrate data from multiple sources.

3. Work with databases such as MySQL, PostgreSQL, SQL Server, or MongoDB to store, retrieve, and manage data efficiently.

4. Write, optimize, and execute SQL queries for data extraction, transformation, and reporting.

5. Develop data processing scripts using Python to automate repetitive data-related tasks.

6. Perform data cleaning, validation, and transformation to ensure accuracy, consistency, and reliability.

7. Monitor data pipelines and troubleshoot errors, performance issues, and data processing failures.

8. Collaborate with data analysts, software developers, and other technical teams to understand data requirements and deliver effective solutions.

9. Implement data integration processes from APIs, databases, cloud platforms, and other external sources.

10. Maintain proper documentation of data workflows, database structures, pipeline configurations, and technical processes.

11. Support the development and maintenance of data warehouses and data storage solutions.

12. Identify opportunities to improve data pipeline performance, scalability, and processing efficiency.

13. Follow data security practices and ensure proper handling of sensitive business information.

14. Assist in implementing cloud-based data solutions and technologies as required.

15. Stay updated with emerging data engineering tools, technologies, and industry best practices.

Required Skills and Qualifications

• 1–2 years of experience in Data Engineering or a related technical role.

• Strong knowledge of SQL and relational databases.

• Good programming knowledge in Python.

• Understanding of ETL and ELT processes.

• Basic knowledge of data warehousing concepts.

• Familiarity with database management systems such as MySQL or PostgreSQL.

• Understanding of data structures, data processing, and data integration.

• Knowledge of REST APIs and data extraction techniques.

• Familiarity with Git and version control systems.

• Basic understanding of cloud platforms such as AWS, Azure, or Google Cloud.

• Strong analytical, problem-solving, and debugging skills.

• Good communication and teamwork abilities.

Good to Have

• Experience with Apache Spark or PySpark.

• Familiarity with Apache Airflow or other workflow orchestration tools.

• Knowledge of AWS S3, Azure Data Factory, or Google BigQuery.

• Understanding of data visualization and business intelligence tools.

• Basic knowledge of Docker and cloud-based data infrastructure.

Education

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

Why Join Us?

• Opportunity to work on real-world data engineering projects.

• Exposure to modern data technologies and cloud platforms.

• Collaborative and growth-oriented work environment.

• Opportunities for technical learning and career development.