Data Engineer

Found in: Whatjobs IN C2 - 1 week ago


Delhi, India RI Jobs Full time
Job DescriptionThis is a remote position.Requirement Name: AWS Data EngineerExperience: 7+ yearsLocation: RemoteNotice Period: ImmediateJob Description:We are seeking an experienced AWS Data Engineer for a remote position. The ideal candidate will have extensive experience in AWS services, particularly Redshift, Airflow, and Python scripting. The candidate should also have a strong understanding of data engineering best practices and be able to collaborate effectively with business analysts and stakeholders.Key Responsibilities:- Collaborate with business analysts to gather requirements for existing or new ETL pipelines.

- Connect with stakeholders daily to discuss project progress and updates.

- Work within an Agile process to deliver projects in a timely and efficient manner.

- Design and manage Redshift data workloads, including performance tuning techniques.

- Develop Airflow Directed Acyclic Graphs (DAGs) to schedule and manage ETL workflows.

- Implement best practices for data engineering, including data modeling, data warehousing, and data pipeline architecture.

- Monitor and troubleshoot ETL pipelines to ensure smooth operation.

- Develop custom Python functions to handle data quality and validation.

- Proficiency in AWS services such as S3, CloudFormation, CloudWatch, Service Catalog, and IAM Roles.

- Perform data validation and ensure data accuracy and completeness through automated tests and validation processes.

- Knowledge of Tableau, including creating Tableau Published Datasets and managing access.

- Write PySpark scripts to process data and perform transformations (Good to have).

- Run Spark jobs on AWS EMR cluster using Airflow DAGs (Good to have).Requirements

Requirements:

- Minimum of 7 years of experience in data engineering.

- Strong expertise in AWS services, particularly Redshift, Airflow, and Python scripting.

- Proficiency in data engineering best practices, data modeling, and data pipeline architecture.

- Experience with Tableau for data visualization and access management.

- Knowledge of PySpark and running Spark jobs on AWS EMR cluster (Good to have).

This is an immediate opportunity for a highly skilled AWS Data Engineer to join our team and contribute to the success of our projects.

Requirements- Strong expertise in AWS services, particularly Redshift, Airflow, and Python scripting. - Proficiency in data engineering best practices, data modeling, and data pipeline architecture. - Experience with Tableau for data visualization and access management. - Knowledge of PySpark and running Spark jobs on AWS EMR cluster (Good to have). Requirements: - Minimum of 7 years of experience in data engineering. - Strong expertise in AWS services, particularly Redshift, Airflow, and Python scripting. - Proficiency in data engineering best practices, data modeling, and data pipeline architecture. - Experience with Tableau for data visualization and access management. - Knowledge of PySpark and running Spark jobs on AWS EMR cluster (Good to have). This is an immediate opportunity for a highly skilled AWS Data Engineer to join our team and contribute to the success of our projects.
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