Data Engineer

Codexaon • Python • SQL • ETL/ELT • AWS Glue • 12 days ago
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Salary
≈ $13k – $28k per year (Estimated)
Location
Hybrid (Chennai, India)
Experience
1+ year exp
Employment
Full-Time

First seen by Alion on Oct 5, 2026.

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Codexaon

Codexaon offers AWS, AI, cyber security, full stack and data analytics training, practical workshops, internships and certification support in Bengaluru, Salem, Chennai and Hyderabad, and online.
codexaon.com • HQ: Bengaluru, India • Artificial Intelligence • IT Training & Certification • Cybersecurity

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

.

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

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