About the role
structured by ORIExperience: 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…
What you will do
- Develop and maintain scalable data pipelines and ETL/ELT workflows.
- Write and optimize SQL queries for data processing and analytics.
- Monitor data pipelines and troubleshoot data quality or processing issues.
- Implement data validation and quality checks.
- Collaborate with data analysts, software engineers, and business teams.
What they are looking for
- 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.
- Understanding of databases and data warehousing.
- Basic knowledge of Git and version control.
- Good problem-solving and analytical skills.
- Experience with Apache Spark, PySpark, Airflow, or similar technologies.
- Understanding of cloud security and IAM.
- Experience working with large datasets.
Nice to have
- Experience with S3, Glue, Athena, Redshift, or Lambda is preferred.
- Preferred AWS certification or willingness to pursue an AWS certification.
Benefits
- 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.
Full posting text
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
Seniority level: Entry level
Employment type: Full-time
Industries: Education