Data Engineer

TENARAI TECHNOLOGIES PRIVATE LIMITED; Dadri, Pune District, Bengaluru; Hybrid; INR 1,200,000 - 2,400,000; Full time

Job summary

TENARAI TECHNOLOGIES PRIVATE LIMITED is seeking a Data Engineer to design and implement scalable data pipelines using Apache Spark and Python in a multi-city India setting.

The role emphasizes hands-on development, strong AWS data services exposure (S3, Glue, Athena, EMR, Redshift), data quality, and automated validation frameworks to ensure reliable ingestion and transformation at scale.

Qualifications

• Hands-on experience developing large-scale Apache Spark pipelines using Python.
• Deep fluency across S3, Glue Data Catalog, Athena, EMR, and Redshift.
• Data quality & reliability: strong focus on production-grade ingestion, transformation, and automated validation frameworks at scale.

Responsibilities

• Design and implement scalable data pipelines using Spark and Python.
• Collaborate on AWS data services and manage data ingestion, transformation and validation at scale.
• Contribute to data governance, quality checks and reliability initiatives across the data platform.

Skills

Apache Spark

Python

Data pipelines

Data quality

Tools

S3

Glue Data Catalog

Athena

EMR

Redshift

Lake Formation

Job description

Role: Data Engineer

Location: Bangalore/ Mumbai/ Pune/ Noida / Kochi

Key Responsibilities & Requirements:

Core Engineering: Hands-on experience developing large-scale Apache Spark pipelines using Python.

AWS Ecosystem: Deep fluency across S3, Glue Data Catalog, Athena, EMR, and Redshift.

Data Quality & Reliability: Strong focus on building production-grade ingestion, transformation, and automated validation frameworks at scale.

Highly Preferred:

• AWS Lake Formation:
• Architecture & Governance: End-to-end Data Lake design and permission-model test validation.