🏢 Company Overview:
DXFactor is a data-driven digital transformation company that helps businesses leverage technology, analytics, and automation to achieve measurable growth. With a focus on innovation and impact, DXFactor builds scalable data solutions that empower organizations to make smarter, faster, and more informed decisions.
💼 Job Details:
- Employment type: Full Time
- Experience: Intern
- Salary: ₹6,000 – ₹12,000 monthly
- Location: Work For Home
- Work timing: 9:30 AM to 6:30 PM
- Working Days: 5 Days
- Education: Any Degree
📝 Job Description:
DXFactor is looking for a passionate and detail-oriented Data Engineer to join our growing analytics and data engineering team. The ideal candidate will be responsible for designing, building, and maintaining robust data pipelines and architectures that support advanced analytics and business intelligence initiatives. You will work closely with data scientists, analysts, and business teams to ensure data accessibility, quality, and performance.
🔑 Key Responsibilities:
- Design, develop, and maintain scalable ETL (Extract, Transform, Load) pipelines
- Build and optimize data systems and architectures for analytics and reporting
- Integrate data from multiple sources into centralized data warehouses or data lakes
- Ensure data integrity, accuracy, and security across platforms
- Collaborate with cross-functional teams to define and implement data models
- Monitor and improve system performance, troubleshooting issues as needed
- Stay updated on emerging data engineering tools and technologies
🛠️ Required Skills & Qualifications:
- Strong proficiency in SQL, Python, and data pipeline frameworks
- Experience with AWS / Azure / GCP data services (e.g., Redshift, BigQuery, Data Factory)
- Knowledge of Apache Spark, Kafka, or other streaming technologies
- Hands-on experience with ETL tools and data warehousing concepts
- Understanding of data modeling, schema design, and data governance
- Familiarity with API integrations and automation scripts
- Excellent problem-solving and analytical skills
- Bachelor’s degree in Computer Science, Data Engineering, or a related field
🌟 Benefits:
- Work with cutting-edge technologies and modern data stacks
- Opportunity to collaborate with global clients and industry leaders
- Flexible work culture and professional growth opportunities
- Continuous learning and certification support
