
Data Engineer
Codexaon · Posted today
- Chennai, Tamil Nadu, India (Hybrid)
- Remote, Hybrid
- Full-time
- 1-3 yrs
About the role
Experience: 1–3 Years
Employment Type: Full-Time
Work Mode: Remote / Hybrid
Location: India
About the Role
We are looking for a Data Engineer with 1–3 years of experience to design, develop, and maintain reliable data pipelines and cloud-based data solutions. The ideal candidate should have hands-on experience with AWS, SQL, Python, and data engineering technologies.
Key Responsibilities
- Develop and maintain scalable data pipelines and ETL/ELT workflows.
- Work with AWS services such as Amazon S3, AWS Glue, Amazon Athena, Amazon Redshift, and AWS Lambda.
- Write and optimize SQL queries for data processing and analytics.
- Develop data transformation workflows using Python.
- Monitor data pipelines and troubleshoot data quality or processing issues.
- Work with structured and semi-structured datasets.
- Implement data validation and quality checks.
- Collaborate with data analysts, software engineers, and business teams.
- Follow security, access-control, and data governance best practices.
- Document data pipelines, processes, and technical solutions.
- Required Skills
- 1–3 years of experience in Data Engineering or a related role.
- Good knowledge of SQL and Python.
- Understanding of ETL/ELT concepts and data pipelines.
- Hands-on knowledge of AWS cloud services.
- Experience with S3, Glue, Athena, Redshift, or Lambda is preferred.
- Understanding of databases and data warehousing.
- Basic knowledge of Git and version control.
- Good problem-solving and analytical skills.
Preferred
- AWS certification or willingness to pursue an AWS certification.
- Experience with Apache Spark, PySpark, Airflow, or similar technologies.
- Understanding of cloud security and IAM.
- Experience working with large datasets.
Education
- Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field
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What We Offer
- Opportunity to work on cloud and data engineering projects.
- Exposure to AWS-based data platforms.
- Professional learning and development opportunities.
- Collaborative work environment.
- Career growth opportunities.
APPLY HERE: https://forms.gle/A5se7ZJzHE6W11Jt8
Skills
Data EngineeringSQLPythonAWS (S3, Glue, Athena, Redshift, Lambda)ETL/ELT workflowsData pipelinesCloud servicesData transformationData validation and quality checks