We are looking for an experienced Data Engineer with strongexpertisein Snowflake and AWS to design develop andmaintainscalable data pipelines and cloud-based data solutions. The ideal candidate should have hands-on experience in building ETL/ELT frameworks data warehousing datamodeling and processing large-scale datasets using modern cloud technologies.
Key Responsibilities
Design develop andmaintainscalable data pipelines and ETL/ELT processes.
Build andoptimizedata solutions using Snowflake and AWS services.
Develop andmaintaindata ingestion transformation and orchestration workflows.
Work with structured and unstructured data from multiple sources.
Implement data quality validation monitoring and governance processes.
OptimizeSnowflake data warehouse performance storage and query execution.
Collaborate with business stakeholders data analysts and engineering teams to understand data requirements and deliver solutions.
Create andmaintaindata 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.
Expertisein SQL and performance tuning.
Strong programming skills in Python andPySpark.
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 DataModeling(Star Schema Snowflake Schema).
Experience working with large-scale data processing and distributed computing frameworks.
Knowledge of CI/CD Git and DevOps practices.
Qualifications
Bachelors orMasters degree in Computer Science Information Technology Engineering or a related field.
Ability to work independently and collaboratively in a fast-paced environment
Required Skills:
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 hand...
Position: Data Engineer(Snowflake& AWS)
Location: Hyderabad/Bangalore
Job Summary
We are looking for an experienced Data Engineer with strongexpertisein Snowflake and AWS to design develop andmaintainscalable data pipelines and cloud-based data solutions. The ideal candidate should have hands-on experience in building ETL/ELT frameworks data warehousing datamodeling and processing large-scale datasets using modern cloud technologies.
Key Responsibilities
Design develop andmaintainscalable data pipelines and ETL/ELT processes.
Build andoptimizedata solutions using Snowflake and AWS services.
Develop andmaintaindata ingestion transformation and orchestration workflows.
Work with structured and unstructured data from multiple sources.
Implement data quality validation monitoring and governance processes.
OptimizeSnowflake data warehouse performance storage and query execution.
Collaborate with business stakeholders data analysts and engineering teams to understand data requirements and deliver solutions.
Create andmaintaindata 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.
Expertisein SQL and performance tuning.
Strong programming skills in Python andPySpark.
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 DataModeling(Star Schema Snowflake Schema).
Experience working with large-scale data processing and distributed computing frameworks.
Knowledge of CI/CD Git and DevOps practices.
Qualifications
Bachelors orMasters degree in Computer Science Information Technology Engineering or a related field.