Data Engineer Jobs at ADA - Apply Now | ₹4-8 LPA

Position Overview

We are seeking a motivated Data Engineer to join our team in Bengaluru. This role is ideal for fresh graduates or early-career professionals eager to build expertise in data engineering, ETL processes, APIs, and large-scale data systems.

Key Responsibilities

• Assist in creating and maintaining data connectors and ingestion pipelines for multiple data sources including APIs, databases, files, and SaaS platforms.
• Support ETL/ELT processes to load data into the platform.
• Understand various source system schemas, APIs, and data formats such as JSON, CSV, and relational tables.
• Implement basic data transformations, validations, and quality checks.
• Write clean, maintainable, and testable code under the guidance of senior engineers.
• Conduct unit and basic integration testing of data pipelines and connectors.
• Assist in troubleshooting data issues, pipeline failures, and synchronization problems.
• Document connectors, pipelines, and operational procedures.
• Utilize Git and CI/CD pipelines for version control and deployments.
• Adhere to engineering best practices, coding standards, and data governance policies.
• Collaborate closely with senior data engineers, QA teams, and product stakeholders.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related discipline.
• Basic to intermediate proficiency in Python and SQL.
• Understanding of core data engineering concepts such as ETL, data pipelines, and data warehousing.
• Familiarity with REST APIs and working with JSON/CSV data.
• Basic knowledge of databases like MySQL or PostgreSQL.
• Awareness of Git and version control workflows.
• Strong problem-solving skills, attention to detail, and eagerness to learn.
• Effective communication skills.

Preferred Skills (Nice to Have)

• Exposure to PySpark, Spark, Databricks, or AWS EMR.
• Basic knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
• Understanding of CI/CD methodologies.
• Experience through internships or academic projects in data engineering, backend development, or ETL.
• Awareness of data modeling and data warehousing principles.