Join Data Eminence as a remote Data Engineer and help build reliable data pipelines and infrastructure that power analytics and business decisions. You'll work with databases, ETL processes, cloud platforms, and data processing technologies to collect, transform, and organize data. Ideal for entry-level candidates with strong SQL and programming fundamentals.
Full Description
Data Eminence is seeking a motivated Data Engineer to join our growing data team. In this role, you will help design, develop, and maintain data pipelines and systems that make reliable data available to analysts, applications, and business teams.
You will collaborate with data analysts, software developers, database engineers, and business stakeholders to understand data requirements and build efficient data solutions.
Your key responsibilities will include:
Developing and maintaining data pipelines and ETL/ELT workflows
Collecting and transforming data from multiple sources
Writing and optimizing SQL queries
Working with relational and NoSQL databases
Ensuring data quality, consistency, and reliability




Building data processing and transformation workflows
Monitoring data pipelines and troubleshooting failures
Supporting data warehouse and data lake environments
Documenting data pipelines, schemas, and processes
Collaborating with analysts and developers on data requirements
Implementing data validation and quality checks
Supporting cloud-based data infrastructure
We believe in learning by doing. You'll gain hands-on experience with Python, SQL, PostgreSQL, MySQL, data warehouses, ETL tools, Git, Docker, and cloud platforms such as AWS, Azure, or Google Cloud.
Requirements
Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field
0-2 years of experience in data engineering or a relevant internship
Robust SQL skills
Basic proficiency in Python or another programming language
Good understanding of relational databases
Familiarity with ETL/ELT concepts an

📌 Data Engineer (India)
🏢 Data Eminence
📍 India