About CyborgIntell (CI):
CyborgIntell is a data-to-decision, AI software company. Our next-generation end-to-end AI platform automates the entire life cycle of data science and machine learning and helps organizations rapidly develop, deploy, and operationalize AI applications at scale. Our flagship product ‘iTuring’ is designed to develop highly accurate, trusted, explainable models and deploy advanced machine learning/deep learning models in production with just a few clicks, with real-time scoring and model monitoring. It is a zero-code platform designed for anyone to accelerate their AI journey within hours instead of months.
Our AutoAI platform augments data science team capabilities manifold, empowering them to be faster, consistent, accurate, and focused on solving business problems rather than coding.
Headquarters: HSR Layout, Bangalore-560102.
The Position:
Job Title: Data Engineer (1–2 Years Experience)
Location: Bangalore
Employment Type: Full-time
About the Role:
We are looking for a passionate and detail-oriented Data Engineer with 1–2 years of experience to join our growing team. You will be responsible for building and maintaining scalable data pipelines, optimized feature engineering workflows, and collaborating with cross-functional teams to support data-driven decision-making.
Key Responsibilities:
Design, develop, and maintain efficient and reliable data pipelines and ETL processes
Work with structured and unstructured data formats and ensure data accuracy and integrity
Transform data from various internal and external sources to structured data for feature engineering
workflows, and storage into data lake.
Collaborate with data scientists, analysts, and software engineers to support data needs
Implement data quality checks and validation processes • Assist in maintaining and optimizing data
warehouse infrastructure
Ensure data security and compliance with best practices
Requirements:
Bachelor’s degree in computer science, Information Technology, or related field.
1–2 years of hands-on experience in data engineering or related roles.
Strong proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL)
Experience with Python, and associated Data Engineering libraries (pandas/PySpark)
Familiarity with data warehousing solutions and cloud platforms (AWS, Azure, or GCP)
Understanding of ETL tools, APIs, and data integration • Strong analytical and problem-solving skills
Good communication and team collaboration abilities
Preferred Skills (Good to Have):
Exposure to Big Data tools like Apache Spark, Hadoop, or Kafka
Experience with workflow management tools (e.g., Airflow, Luigi)
Knowledge of data versioning and DevOps tools
Basic understanding of machine learning pipelines
What We Offer:
A collaborative and supportive work culture
Opportunities for skill development and career growth
Work on challenging and meaningful data projects
Flexible work options and competitive compensation
Job Types: Full-time, Permanent
Pay: ₹600,000.00 - ₹1,600,000.00 per year
Benefits:
Health insurance
Work Location: In person