Data Engineer (Snowflake & AWS)

ContenTerra Software Pvt. Ltd.; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

ContenTerra Software Pvt. Ltd. is seeking an experienced Data Engineer to design and maintain scalable data pipelines. The ideal candidate will have strong expertise in Snowflake and AWS, along with a proven track record in building ETL/ELT frameworks and managing large-scale datasets.

You will collaborate with stakeholders and other teams to deliver high-quality data solutions, optimizing performance and ensuring data integrity within cloud environments.

Qualifications

• 5+ years of experience in Data Engineering.
• Strong hands-on experience with Snowflake and AWS services.
• Strong programming skills in Python and PySpark.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
• Build and optimize data solutions using Snowflake and AWS services.
• Collaborate with business stakeholders and analysts to understand data requirements.

Skills

Snowflake

AWS

SQL

Python

PySpark

ETL/ELT Frameworks

Data Orchestration Tools

Data Warehousing

Data Modeling

CI/CD & DevOps

Education

Bachelor's or Master's degree in Computer Science, IT, Engineering or related field

Tools

Airflow

ETL Tools

Job description

Contenterra Software Pvt Ltd | Full time

We are looking for an experienced Data Engineer with strong expertise in Snowflake and AWS to design, develop, and maintain scalable data pipelines and cloud-based data solutions. The ideal candidate should have hands‑on experience in building ETL/ELT frameworks, data warehousing, data modeling, and processing large-scale datasets using modern cloud technologies.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
• Build and optimize data solutions using Snowflake and AWS services.
• Develop and maintain data ingestion, transformation, and orchestration workflows.
• Work with structured and unstructured data from multiple sources.
• Implement data quality, validation, monitoring, and governance processes.
• Optimize Snowflake data warehouse performance, storage, and query execution.
• Collaborate with business stakeholders, data analysts, and engineering teams to understand data requirements and deliver solutions.
• Create and maintain data models, schemas, and documentation.
• Troubleshoot production issues and ensure high availability of data platforms.
• Participate in code reviews, testing, deployment, and support activities.

Required Skills

• 5+ years of experience in Data Engineering.
• Strong hands‑on experience with Snowflake (mandatory).
• Strong hands‑on experience with AWS (mandatory), including services such as S3, Glue, Lambda, Redshift, Athena, EMR, ECS, or related services.
• Expertise in SQL and performance tuning.
• Strong programming skills in Python and PySpark.
• Experience with ETL/ELT tools and frameworks.
• Hands‑on experience with data orchestration tools such as Airflow, ADF, or similar.
• Strong understanding of Data Warehousing concepts and Data Modeling (Star Schema, Snowflake Schema).
• Experience working with large-scale data processing and distributed computing frameworks.
• Knowledge of CI/CD, Git, and DevOps practices.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
• Strong communication and stakeholder management skills.
• Ability to work independently and collaboratively in a fast‑paced environment.