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

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

📌 Data Engineer (Track PK) (Bengaluru)
🏢 Neev
📍 Bengaluru