Data Engineer (Snowflake & AWS)

Position: Data Engineer (Snowflake & AWS) Location: Hyderabad/ Bangalore Job Summary 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

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