Big Data Engineer

Entry-Level Data Engineer

Job Title: Entry-Level Data Engineer

Location: Candidate must be open relocate.

Employment Type: Full-time

Job Summary

We are looking for a motivated Entry-Level Data Engineer to join our data team. In this role, you will help design, build, and maintain data pipelines that support analytics, reporting, and business operations. You will work closely with data engineers, analysts, data scientists, and software developers to ensure data is accurate, reliable, and accessible.

This position is ideal for recent graduates or candidates with internship or project experience in data engineering, computer science, or related fields.

Key Responsibilities

• Assist in developing and maintaining ETL/ELT data pipelines.
• Collect, clean, transform, and validate data from multiple sources.
• Support the design and optimization of databases and data warehouses.
• Monitor data pipeline performance and troubleshoot issues.
• Write efficient SQL queries to extract and analyze data.
• Collaborate with cross-functional teams to understand data requirements.
• Document data workflows, processes, and technical specifications.
• Participate in code reviews and follow engineering best practices.
• Help automate routine data processing tasks.
• Ensure data quality, integrity, and security.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field.
• Basic understanding of SQL and relational databases.
• Familiarity with at least one programming language such as Python, Java, or Scala.
• Knowledge of data structures and algorithms.
• Understanding of ETL/ELT concepts and data modeling fundamentals.
• Strong analytical and problem-solving skills.
• Good communication and teamwork abilities.
• Willingness to learn new technologies and tools.

Preferred Qualifications

• Internship or academic project experience in data engineering or analytics.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Exposure to big data technologies like Apache Spark or Hadoop.
• Experience with version control systems such as Git.
• Knowledge of workflow orchestration tools (e.g., Apache Airflow).
• Basic understanding of data warehousing concepts.

Technical Skills

• SQL
• Python (preferred)
• Git
• Relational databases (PostgreSQL, MySQL, SQL Server, etc.)
• Basic Linux/Unix commands
• Excel
• Cloud fundamentals (AWS, Azure, or GCP)

Soft Skills

• Problem-solving mindset
• Attention to detail
• Communication skills
• Team collaboration
• Time management
• Adaptability
• Eagerness to learn

Thanks