Junior Data Engineer

Job Title: Junior Data Engineer

Location: Plano, TX

Job Type: Only W2

Job Description:

·       Develop and maintain ETL/ELT pipelines to collect, transform, and load data from multiple sources.

·       Write efficient SQL queries for data extraction, transformation, and analysis.

·       Develop Python scripts for data processing, automation, and validation.

·       Work with relational databases such as PostgreSQL, MySQL, or SQL Server.

·       Assist with data integration from APIs, files, applications, and other sources.

·       Perform data cleansing, validation, and quality checks.

·       Monitor data pipelines and troubleshoot data-processing issues.

·       Collaborate with Data Engineers, Software Engineers, Data Analysts, and business teams.

·       Assist with cloud-based data solutions using AWS, Azure, or Google Cloud.

·       Document data pipelines, processes, database structures, and technical procedures.

·       Follow software development best practices, including Git, code reviews, testing, and documentation.

·       Support improvements to data reliability, scalability, and performance.

Required Qualifications:

·       Bachelor''s degree in Computer Science, Information Technology, Data Engineering, Engineering, Mathematics, or a related field, or equivalent practical experience.

·       0–2 years of experience in data engineering, software development, analytics, or a related technical field.

·       Strong understanding of SQL and relational databases.

·       Working knowledge of Python.

·       Understanding of ETL/ELT concepts and data pipelines.

·       Familiarity with Git/GitHub and basic software development practices.

·       Understanding of data structures, algorithms, and programming fundamentals.

·       Strong analytical and problem-solving skills.

·       Good written and verbal communication skills.

Preferred Qualifications:

·       Experience with AWS, Azure, or Google Cloud Platform.

·       Familiarity with Apache Spark, Databricks, Airflow, Kafka, or similar data technologies.

·       Knowledge of data warehouses such as Snowflake, BigQuery, Redshift, or Azure Synapse.

·       Experience with Docker and CI/CD concepts.

·       Familiarity with REST APIs and JSON data.

·       Exposure to NoSQL databases such as MongoDB or DynamoDB.

·       Understanding of data modeling and database design.

·       Internship, academic, or personal projects involving data pipelines or cloud data platforms.