Data Engineer (Track PK)

Job Description: 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

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  Pipeline Development: Design, build, and maintain end-to-end data pipelines using modern AWS cloud services.

  
  


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  Collaboration: Partner with PMs, architects, and QA engineers in an agile/sprint environment to deliver high-quality data products.

  
  


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  Deployment & Integration: Work closely with cross-functional teams during the deployment of data pipelines and streaming solutions.

  
  


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  Communication: Drive technical decisions and communicate effectively with stakeholders and cross-functional teams.

  
  

Technical Requirements & QualificationsMandatory Skills

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  AWS Services: AWS Glue, AWS Lambda, AWS S3

  
  

Core Technical Stack

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  AWS Ecosystem: Athena, Step Functions, Redshift

  
  


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  Programming & Query Languages: Python, PySpark, SQL

  
  


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  Data Sources & Warehouses: APIs, Relational/Non-relational Databases, Snowflake, Redshift

  
  


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  Data Formats: CSV, JSON, Parquet

  
  


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  Streaming Technologies: Apache Kafka, Amazon Kinesis, Apache Flink

  
  

Experience

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

  
  

Soft Skills

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  Strong communication and stakeholder management skills.

  
  


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  Excellent decision-making capabilities within cross-functional environments.