Job Overview

We are seeking a Junior Data Engineer to join our team in Bangalore Urban. This full-time position requires 1 to 3 years of work experience working with data technologies. The selected candidate will play a crucial role in managing, optimizing, and developing data pipelines and architecture to support the company’s projects. This role offers an exciting opportunity to work on cutting-edge technologies in a growing company.

Qualifications and Skills

• Proficiency in SQL and Python (Mandatory skill) to handle complex queries and scripting tasks efficiently.
• Familiarity with Big Data Technologies (Mandatory skill) such as Hadoop or Spark for handling and processing large datasets.
• Experience with ETL processes, ensuring that data is extracted, transformed, and loaded accurately and efficiently from various sources.
• Knowledge of Data Modeling techniques to design and implement data structures that support business requirements.
• Understanding of Data Warehousing concepts and best practices in organizing and managing large volumes of structured data.
• Experience with Cloud Platforms such as AWS, Google Cloud, or Azure for data storage and processing solutions.
• Skilled in Data Pipeline Development to automate the ingestion and transformation of data from source systems to target destinations.
• Analytical thinking and problem-solving abilities to identify data issues and ensure data quality across the board.

Roles and Responsibilities

• Develop, construct, test, and maintain data architectures and large-scale processing systems.
• Integrate various data sources and ensure data consistency across different datasets and systems.
• Optimize data systems and pipelines for better scalability and performance.
• Collaborate with data analysts and other stakeholders to understand and address data-related technical issues.
• Provide comprehensive reports and dashboards to facilitate decision-making processes.
• Ensure high data quality and reliability by implementing checks and validation processes.
• Work closely with IT teams and business analysts to constantly improve data resources.
• Continuously evaluate and recommend new data technologies for implementation.