Data Engineer

Found in: Whatjobs IN C2 - 2 weeks ago

noida, India RI Jobs Full time

This is a remote position.

Requirement Name: AWS Data Engineer
Experience: 7+ years
Location: Remote
Notice Period: Immediate
Job 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.


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