💾 Job Title : DATA ENGINEER
Company: KILONEWTONS
Location: Bengaluru, India 🇮🇳
Experience Required: 5+ Years
Website: www.kilonewtons.com
🌍 About KILONEWTONS
At KILONEWTONS, we turn data into actionable insights. As a global leader in engineering and technology solutions, we leverage data-driven strategies to optimize operations, improve decision-making, and fuel innovation across industries.
We are looking for a skilled Data Engineer in Bengaluru to join our dynamic team. If you are passionate about building robust data pipelines, managing large datasets, and enabling advanced analytics, this is your opportunity to excel with KILONEWTONS.
🎯 Job Overview
As a Data Engineer, you will design, implement, and maintain scalable data infrastructure that supports analytics, reporting, and machine learning initiatives. You will collaborate with data scientists, analysts, and business stakeholders to ensure data is reliable, accessible, and optimized for insights.
This is a full-time, on-site position based in Bengaluru, India.
⚙️ Key Responsibilities
- 🏗️ Design, build, and maintain data pipelines for structured and unstructured data.
- 💻 Integrate data from multiple sources into centralized systems.
- 🧩 Optimize database performance, data storage, and retrieval systems.
- 📊 Support data analytics, reporting, and machine learning initiatives.
- 🔍 Ensure data quality, consistency, and integrity across systems.
- 🛠️ Implement ETL processes and data transformation workflows.
- 📈 Monitor, troubleshoot, and improve data infrastructure performance.
- 🤝 Collaborate with cross-functional teams including software developers, data scientists, and business analysts.
- 🌟 Stay updated with latest trends in big data technologies and cloud solutions.
💻 Required Skills & Software Proficiency
- Strong experience with SQL and NoSQL databases (MySQL, PostgreSQL, MongoDB, Cassandra).
- Proficiency in ETL tools (Apache NiFi, Talend, Airflow).
- Programming experience in Python, Java, or Scala.
- Hands-on experience with cloud platforms (AWS, Azure, or GCP).
- Knowledge of Big Data technologies (Hadoop, Spark, Kafka).
- Data modeling, data warehousing, and pipeline optimization skills.
- Strong problem-solving, analytical, and collaboration abilities.
🎓 Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Technology, or related field.
- Minimum 5 years of professional experience in data engineering or related roles.
- Experience with data analytics, machine learning pipelines, or BI tools is a plus.
- Proven ability to manage complex data projects and deliver scalable solutions.
🌟 Why Join KILONEWTONS?
- 💰 Competitive salary and performance-based incentives.
- 🧠 Opportunities to work on cutting-edge data projects and analytics solutions.
- 🌍 Exposure to international clients and innovative technologies.
- 🏖️ Supportive, collaborative, and professional work environment.
- 🚀 Be part of a company that values innovation, precision, and data-driven excellence.