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Weekday AI (YC W21)
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Data Engineer

Data Engineer

Weekday AI (YC W21)

3 years

0 Lacs

india

Posted:3 days ago| Platform:

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Skills Required

data development integration design scalability api json dataflow apache storage sparql agile deployment sql python gcp fusion automation auto dataset multilingual graphs

Work Mode

Remote

Job Type

Full Time

Job Description

This role is for one of the Weekday's clients

Min Experience: 3 yearsLocation: Remote (India)JobType: full-timeWe are looking for a highly skilled and motivated

Data Engineer

to join our Development POD focused on integration projects. In this role, you will design, build, and maintain scalable data pipelines to ingest, clean, transform, and integrate diverse public datasets into a knowledge graph. The ideal candidate will have strong expertise in

GCP

BigQuery

, and

Python

, along with a solid grasp of data modeling, data quality, and scalability principles.

Requirements

Key Responsibilities

Design and develop robust, scalable data pipelines for ingestion, transformation, and integration of structured and unstructured data.
Perform comprehensive data wrangling, cleaning, and transformation from multiple formats (API, CSV, XLS, JSON, etc.).
Work with BigQuery, DataFlow (Apache Beam), and Google Cloud Storage (GCS) to manage large-scale data workflows.
Implement and maintain data validation and quality assurance processes.
Contribute to data modeling and schema design, especially for knowledge graph development (Schema.org, RDF, SPARQL, JSON-LD).
Collaborate within Agile teams to deliver scalable, reliable, and efficient data solutions.
Apply CI/CD practices (e.g., Cloud Build) to ensure seamless development and deployment workflows.

Core Competencies

Must Have:

Proficiency in SQL and Python.
Experience with BigQuery, GCS, and GCP DataFlow / Apache Beam.
Proven ability to handle complex data transformations across diverse data formats.

Secondary Skills:

Knowledge of SPARQL, Schema.org, Apigee, and Cloud Data Fusion.
Experience in data modeling, knowledge graph design, and Agile development.
Familiarity with CI/CD tools such as Cloud Build.

Preferred Qualifications

Exposure to LLM-based tools or techniques for data automation (e.g., auto-schematization).
Experience with large-scale public dataset integration projects.
Understanding of multilingual data integration workflows.

Skills

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Data Engineer