Data Engineer (Track PK)

Data Engineer (Track PK)Position Overview

We are looking for an experienced and hands-on Data Engineer with strong technical expertise in building end-to-end data pipelines. In this role, you will work closely with Product Managers, Architects, and QA teams within an agile sprint model to deliver robust, scalable data solutions.

Key Responsibilities

• Pipeline Development: Design, build, and maintain end-to-end data pipelines using modern AWS cloud services.
• Collaboration: Partner with PMs, architects, and QA engineers in an agile/sprint environment to deliver high-quality data products.
• Deployment Integration: Work closely with cross-functional teams during the deployment of data pipelines and streaming solutions.
• Communication: Drive technical decisions and communicate effectively with stakeholders and cross-functional teams.

Technical Requirements QualificationsMandatory Skills

• AWS Services: AWS Glue, AWS Lambda, AWS S3

Core Technical Stack

• AWS Ecosystem: Athena, Step Functions, Redshift
• Programming Query Languages: Python, PySpark, SQL
• Data Sources Warehouses: APIs, Relational/Non-relational Databases, Snowflake, Redshift
• Data Formats: CSV, JSON, Parquet
• Streaming Technologies: Apache Kafka, Amazon Kinesis, Apache Flink

Experience

• 6+ years of strong, hands-on experience in building scalable data pipelines.

Soft Skills

• Strong communication and stakeholder management skills.
• Excellent decision-making capabilities within cross-functional environments.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.