Overview
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.
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Education Requirements
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field
Eligible Batch Years
ADA
ADA is a leading data and artificial intelligence company specializing in analytics, digital marketing, and customer engagement solutions across Asia. Founded in 2016, ADA operates as a regional powerhouse, leveraging advanced data science, machine learning, and digital media expertise to help businesses optimize their marketing strategies and drive measurable growth. The company’s mission is to empower organizations with actionable insights and personalized engagement, enabling them to thrive in the digital economy.
With a presence in multiple markets across Southeast Asia and South Asia, ADA employs over 900 professionals and serves clients across diverse industries, including telecommunications, finance, retail, and consumer goods. ADA has earned a strong reputation for its innovative approach to integrating data-driven marketing with AI-powered solutions. In recent years, the company has expanded its capabilities through strategic partnerships and acquisitions, positioning itself as a key player in the region’s digital transformation landscape.
Company Details
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Websiteada-asia.com
