We are looking for an Associate Data Engineer to support the design, development, and maintenance of data pipelines and data infrastructure. The role involves developing and maintaining ETL/ELT pipelines, writing and optimizing SQL queries, working with relational and cloud-based databases, and performing data validation and troubleshooting. Candidates must have 1-4 years of experience in data engineering or related fields, strong SQL and Python skills, and the ability to collaborate with cross-functional teams.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Associate Data Engineer
Full-Time
Candidate must be open to relocate.
Role Overview
We are looking for an Associate Data Engineer to support the design, development, and maintenance of data pipelines and data infrastructure. The role is suitable for an early-career professional who is comfortable working with SQL, Python, databases, and data-processing tools.
Key Responsibilities
- Develop and maintain ETL/ELT data pipelines.
- Extract, transform, and load data from multiple sources.
- Write and optimize SQL queries for data processing and analysis.
- Work with relational and cloud-based databases.
- Perform data validation, quality checks, and troubleshooting.
- Support data warehouse and data lake development.
- Monitor pipeline performance and resolve data-related issues.
- Collaborate with Data Analysts, Data Scientists, Software Engineers, and business teams.
- Document data pipelines, processes, and technical solutions.
- Follow data security, governance, and quality standards.
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Required Qualifications
- Bachelor’s degree in computer science, Information Technology, Engineering, or a related field.
- 1-4 years of experience in data engineering, software development, or a related area.
- Good knowledge of SQL and relational databases.
- Basic to intermediate Python programming skills.
- Understanding of ETL/ELT concepts and data pipelines.
- Familiarity with data warehousing concepts.
- Strong analytical and problem-solving skills.
- Good communication and teamwork abilities.
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Preferred Skills
- Exposure to cloud platforms such as AWS, Azure, or Google Cloud.
- Familiarity with tools such as Apache Airflow, Spark, dbt, or Kafka.
- Experience with Git and CI/CD practices.
- Knowledge of dimensional modeling and database optimization.
- Understanding of APIs and common data formats such as JSON and CSV.
What Success Looks Like
The Associate Data Engineer will build reliable data pipelines, maintain high-quality datasets, troubleshoot data issues efficiently, and progressively take ownership of data engineering projects.
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