Senior AWS Data Engineer

1 month ago


Remote, India Kooe Private Limited Full time

Required Skills :

- 3+ years of professional experience in any one of the Cloud providers such as AWS, Azure or GCP

- 3+ years experience in engineering data pipelines using data technologies (Python, Databricks, pySpark, Kafka) on large scale data sets

- Experience building or maintaining a Data Platform that supports multiple engineering teams and processes big data

- Ability to quickly learn complex domains and new technologies

- Innately curious and organized with the drive to analyze data to identify deliverables, anomalies and gaps and propose solutions to address these findings

- Experience designing data models that have been implemented in production

- Strong experience in writing complex SQL and ETL development with experience processing large data sets

- Familiarity with AWS Services (Redshift, RDS, EKS, S3, EMR, Glue, Lambda)

- Experience using GitHub, Docker, Terraform, CodeFresh, Jira

- Experience contributing to full lifecycle deployments with a focus on quality and scalability

- Must be able to communicate effectively and be comfortable in a faced paced environment with many competing priorities

- Must be fluent with the entire data "stack", i.e front-end collection and governance and how that data is then used downstream to influence strategy and decision-making

- 3+ years of experience with Branch or similar mobile analytics platform.

- 3+ years of SQL and/or Python

- Ability to learn & assume responsibilities related to Digital Analytics like Segment and GTM instrumentation.

(ref:hirist.tech)

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