Dlytica

1. About the Company

Dlytica Inc. founed in 2018 is a data-driven technology company specialising in analytics, artificial intelligence, cloud migration and enterprise data solutions. Founded with the objective of helping organisations unlock value from their data, Dlytica offers a suite of services that enable businesses to transform raw data into actionable insights and scalable intelligence. 

The company emphasises a “customer-first” approach, blending local leadership with global best practices, and holds ISO 27001:2022 certification for information security.
Dlytica’s operations span multiple countries, with offices in Canada, the United States and Nepal. 

2. Size & Locations

• Headquarters: Canada – 380 Wellington St, Tower B, 6th Floor, London, ON N6A 5B5.
• United States Office: 401 Park Ave S, 10th Floor, New York, USA.
• Nepal Office: Dlytica Nepal Pvt Ltd, 3rd floor, Building next to Namaste Oil Store, Balkumari, Lalitpur.
• Employee Strength: Exact numbers are not publicly disclosed; the company describes itself as a well-established organisation with a global footprint.
• Industry: Data Analytics, Business Intelligence, Cloud & AI Services.

3. Technologies Used

Dlytica works across a broad set of technologies and platforms in delivering its solutions:

• Cloud Platforms: Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP). 

• Data Architecture: Data warehouses, data pipelines, big data analytics. 

• AI & Machine Learning: Developing and deploying ML models and AI-powered automation. 

• IoT, RPA & Generative AI: One of the solution domains listed by the company. 

• Security: ISO certified, emphasising secure and scalable systems across data and cloud. 

4. Hiring Process

While a fully detailed public outline is not available, typical entry points include:

  1. Application submission (via company website or career portal)
  2. Screening for basic fit (technical and communication)
  3. Technical assessment/interview (for data, analytics, cloud roles)
  4. Managerial/HR interview for behavioural and cultural fit
  5. Offer & onboarding

This structure aligns with typical practices in firms of this type and is consistent with the company’s training-and-internship offerings.

5. Skills Required

Depending on the role (data engineer, data scientist, cloud architect, etc.), Dlytica values:

Technical Skills

• Programming Languages: Python, SQL, Java
• Frameworks & Libraries: TensorFlow, Scikit-learn, Pandas, NumPy, PySpark
• Data Engineering Tools: Apache Airflow, Talend, Kafka, ETL Pipeline Design
• Database Management: MySQL, PostgreSQL, MongoDB, Snowflake, BigQuery
• Big Data & Analytics Platforms: Hadoop, Spark, Power BI, Tableau, Looker
• Cloud Platforms: AWS (S3, Redshift, Glue), Azure (Data Factory, Synapse Analytics), GCP (BigQuery, Dataflow)
• DevOps & Tools: Docker, Jenkins, Git, CI/CD pipelines
• APIs & Integrations: RESTful APIs, Cloud APIs, Data Security & Encryption Standards


Soft Skills
• Problem-solving ability, analytical mindset
• Good communication and collaboration capability
• Ability to adapt to evolving technologies and business environments


Domain Knowledge
• Understanding of how data drives business decisions and operations
• Awareness of cloud migration strategies, data governance, security best practices

6. Work Culture

Based on available public information:
Strengths:
• Exposure to modern data and cloud technologies in a growing company environment
• Opportunities for learning and growth through project-based work and training programmes
• Global presence provides some diversity in projects and experience
Areas to consider:
• As with many growing firms, workload may be significant when engaging in multiple large client projects or migrations
• Some reviews and forum comments (e.g., Reddit) raise concerns regarding certain programmes (see Alumni Insights) and suggest careful evaluation is needed. 

7. Alumni Insights


(“Will be written once company visit”)

8. References / Links

• Official Website: Dlytica Inc. – Big Data and AI Solutions
• LinkedIn Profile: (5) DLytica – Data Analytics and AI: Posts | LinkedIn
• Careers Page: Career | Dlytica Inc.

Summary

Dlytica Inc. is a global data, analytics and cloud services company with a strong focus on transforming data into business intelligence. With offices in Canada, the US and Nepal, the company offers a range of services from cloud migration and data architecture to AI and training programmes. For individuals seeking a career in data engineering, analytics or cloud, Dlytica presents a promising opportunity to engage with modern technologies and diverse projects. However, as with any fast-growing tech company, especially those offering training and internship pathways, it is advisable to proactively evaluate role specifics, compensation and career trajectories before committing.