Job Title: Data Engineer – Treasure Data / AWS

Experience: 6+ Years

Location: Remote

Shift: 11:00 AM – 7:00 PM IST / 12:00 PM – 8:00 PM IST

Employment Type: Contract

Role Summary

We are looking for an experienced Data Engineer to develop and enhance data solutions using Treasure Data, Python, SQL, and AWS . The ideal candidate should be capable of independently troubleshooting ETL workflows, developing API-based data feeds, designing data solutions, and collaborating with globally distributed Agile teams and business stakeholders.

Key Responsibilities

- Develop and maintain data feeds using source APIs.
- Build and enhance Treasure Data workflows and Python-based data solutions.
- Analyze, troubleshoot, and optimize ETL tasks with minimal supervision.
- Design data transformations and propose solutions for complex data challenges.
- Understand data model diagrams and translate business requirements into technical solutions.
- Design and maintain data architecture aligned with business needs.
- Develop QA strategies, test plans, and perform data validation.
- Collaborate with engineering teams and business stakeholders to refine requirements.
- Perform data analysis and support reporting requirements.
- Conduct QA reviews for other team members.
- Document technical solutions, workflows, and implementation approaches.
- Work effectively within Scrum/Kanban environments using Jira and Confluence.

Required Skills & Experience





- 6+ years of experience in Data Engineering.
- Strong hands-on experience with SQL and Python.
- Experience with Presto/Trino.
- Strong database experience with PostgreSQL and AWS Redshift.
- Hands-on experience with Treasure Data, including workflow creation and management.
- Experience with AWS services including:
- S3

- Redshift

- Redshift Spectrum

- Lambda

- Glue

- EC2
- Experience developing and troubleshooting ETL/data pipelines.
- Strong understanding of data models, transformations, data architecture, and data quality.
- Experience working in Scrum/Kanban environments.
- Hands-on experience with Jira, Confluence, Git/Bitbucket.
- Robust analytical and problem-solving skills.
- Ability to work independently and collaborate with globally distributed teams.

Preferred Skills

- Experience with Power BI or other BI tools.
- Knowledge of Object-Oriented Programming and system design.
- Experience supporting marketing/customer data, including Salesforce or Eloqua datasets.
- Experience with Apache Airflow.
- Experience working with Customer Data Platforms.
- Experience developing API-driven data integrations.

Key Competencies Python | SQL | Presto/Trino | Treasure Data | PostgreSQL | AWS Redshift | S3 | Glue | Lambda | Redshift Spectrum | ETL | API Integration | Data Architecture | Scrum/Kanban | Jira | Confluence | Git/Bitbucket Skills: etl,python,architecture,aws,data,treasure data,api

📌 Data Engineer – Treasure Data / AWS (India)
🏢 NSKH Tech
📍 India