Data Engineer

HTD Resources; Colorado; On-site; USD 60,000 - 90,000; Full time

Job summary

Htd Resources Pvt Ltd. is seeking an Entry-Level Data Engineer to help design, develop, maintain, and optimize data pipelines and databases. The role requires a basic understanding of SQL, Python, databases, ETL processes, and data warehousing.

Responsibilities include building ETL/ELT pipelines, writing SQL, and using Python for data processing. You will work with MySQL, PostgreSQL, or SQL Server and assist in data warehouses while ensuring data quality and documentation.

Qualifications

• Must have basic understanding of SQL, Python, databases, ETL processes, and data warehousing.
• Entry-level role; 0–2 years experience; freshers can apply.
• Collaborate with Data Engineers and Analysts to support data workflows.

Responsibilities

• Assist in developing and maintaining ETL/ELT data pipelines.
• Extract, transform, and load data from different sources.
• Write SQL queries to retrieve, clean, and manipulate data.
• Use Python for data processing and automation.
• Work with relational databases such as MySQL, PostgreSQL, or SQL Server.
• Assist in building and maintaining data warehouses.
• Perform data cleaning, validation, and quality checks.
• Monitor data pipelines and troubleshoot basic data-related issues.
• Collaborate with Data Engineers, Data Analysts, and other team members.
• Maintain technical documentation for data workflows and processes.

Skills

SQL

Python

Databases

ETL

Data warehousing

Job description

Experience: 0–2 years (Freshers can apply)Department: Data Engineering / ITEmployment Type: Full-timeJob Level: Entry-Level

Job Summary

We are looking for a motivated and detail-oriented Entry-Level Data Engineer to join our team. The candidate will be responsible for assisting in designing, developing, maintaining, and optimizing data pipelines and databases. The ideal candidate should have a basic understanding of SQL, Python, databases, ETL processes, and data warehousing.

Key Responsibilities

• Assist in developing and maintaining ETL/ELT data pipelines.
• Extract, transform, and load data from different sources.
• Write SQL queries to retrieve, clean, and manipulate data.
• Use Python for data processing and automation.
• Work with relational databases such as MySQL, PostgreSQL, or SQL Server.
• Assist in building and maintaining data warehouses.
• Perform data cleaning, validation, and quality checks.
• Monitor data pipelines and troubleshoot basic data-related issues.
• Collaborate with Data Engineers, Data Analysts, and other team members.
• Maintain technical documentation for data workflows and processes.