Data Engineer

Project Description

Join Data Eminence as a remote Data Engineer and contribute to building reliable, scalable, and efficient data infrastructure. You will work on data pipelines, data integration, transformation, storage, and processing to ensure that high-quality data is available for analytics, reporting, and machine learning applications.

The ideal candidate has a strong understanding of programming, databases, and data-processing concepts. This role provides hands-on experience with ETL/ELT pipelines, data warehousing, cloud data platforms, workflow automation, and modern data engineering practices.

Full Description

At Data Eminence , we believe reliable data infrastructure is the foundation of effective analytics and intelligent applications. As a Data Engineer, you will work closely with data analysts, software engineers, and machine learning teams to build and maintain data pipelines and processing systems.

Your responsibilities will include

- Design, develop, and maintain data pipelines.
- Collect and integrate data from databases, APIs, and external sources.
- Build ETL and ELT workflows for data transformation.
- Clean, validate, and standardize datasets.
- Develop scripts for automated data extraction and processing.
- Work with relational and NoSQL databases.
- Write and optimize SQL queries for large datasets.
- Assist in designing data warehouses and data storage structures.
- Monitor data pipeline performance and troubleshoot failures.
- Implement data quality checks and validation processes.
- Automate repetitive data engineering workflows.
- Maintain reliable and consistent data processing systems.
- Collaborate with analysts to understand data requirements.
- Support data integration for dashboards and machine learning models.
- Assist with cloud-based data infrastructure.
- Document data pipelines, schemas,



and processing workflows.
- Follow data security, privacy, and governance practices.
- Research modern data engineering technologies and automation tools.

We believe in learning by doing. You will gain practical experience with Python, SQL, PostgreSQL, MySQL, Pandas, Apache Airflow, Apache Spark, ETL/ELT, data warehousing, AWS, Azure, Google Cloud, Docker, Git/GitHub, and data pipeline automation . This is a hands-on engineering role where you will work with real datasets, develop automated pipelines, troubleshoot data-processing issues, and build scalable infrastructure for analytics and data-driven applications.

Requirements

- Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.
- 0–2 years of experience in data engineering or relevant projects.
- Strong understanding of SQL and relational databases.
- Familiarity with Python programming.
- Basic understanding of ETL and ELT processes.
- Knowledge of database design and data modeling.
- Familiarity with data cleaning and transformation.
- Understanding of data warehouses and data pipelines.
- Basic knowledge of cloud platforms.
- Familiarity with Apache Airflow, Spark, or similar tools is a plus.
- Understanding of APIs and data integration.
- Familiarity with Git and GitHub.
- Strong analytical and troubleshooting skills.
- Good communication and teamwork abilities.
- Ability to work independently and collaborate effectively in a remote environment.

Benefits
- Competitive salary based on skills and experience.
- Fully remote work flexibility.
- Paid time off and holidays.
- Professional development and learning opportunities.
- Company-provided equipment where applicable.
- Exposure to modern cloud and data engineering technologies.
- Opportunities to work on real-world data infrastructure projects.
- Supportive and collaborative remote work setting.

📌 Data Engineer (India)
🏢 Data Eminence
📍 India