Data Engineer (Snowflake,AWS,DBT,Airflow) PAN India
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Job Location:
Monthly Salary:
Posted on:
4 hours ago
Vacancies:
1 Vacancy
Job Summary
Total experience: 10 years
Detailed JD:
Strong hands-on experience with Snowflake (data modeling query optimization performance tuning).
Proficiency in AWS services (S3 Lambda EC2 IAM etc.).
Expertise in Apache Airflow for workflow orchestration.
Solid experience with dbt for data transformation and modeling.
Strong SQL skills and experience with Python for scripting.
Knowledge of CI/CD pipelines and version control (Git).
Familiarity with data governance security and compliance practices.
Design and implement scalable data pipelines and ETL processes using Snowflake on AWS.
Develop and maintain workflows using Apache Airflow for orchestration.
Build modular and reusable data transformation models using dbt.
Collaborate with data analysts data scientists and business stakeholders to deliver high-quality data solutions.
Troubleshoot and resolve issues related to data pipelines and integrations.
Mandatory Skills: Snowflake AWS DBT Airflow
Detailed JD:
Strong hands-on experience with Snowflake (data modeling query optimization performance tuning).
Proficiency in AWS services (S3 Lambda EC2 IAM etc.).
Expertise in Apache Airflow for workflow orchestration.
Solid experience with dbt for data transformation and modeling.
Strong SQL skills and experience with Python for scripting.
Knowledge of CI/CD pipelines and version control (Git).
Familiarity with data governance security and compliance practices.
Design and implement scalable data pipelines and ETL processes using Snowflake on AWS.
Develop and maintain workflows using Apache Airflow for orchestration.
Build modular and reusable data transformation models using dbt.
Collaborate with data analysts data scientists and business stakeholders to deliver high-quality data solutions.
Troubleshoot and resolve issues related to data pipelines and integrations.
Mandatory Skills: Snowflake AWS DBT Airflow
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
