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

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

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

Skills: pipelines,architects,aws,agile,data,communication,apache

📌 Data Engineer (Bengaluru)
🏢 Neev
📍 Bengaluru