Job Description:

We are looking for a passionate and driven Data Engineer to join our dynamic team. This is an excellent opportunity for fresh graduates and early-career professionals who are excited about working with large datasets, building scalable data pipelines, and contributing to data-driven decision-making.

As a Data Engineer, you will work closely with cross-functional teams to design, develop, and maintain robust data solutions that power analytics and business intelligence across the organization, along with a keen interest in machine learning and AI technologies.

Role & responsibilities:

- Design, build, and maintain scalable data pipelines and ETL workflows.
- Collect, clean, transform, and manage large volumes of structured and unstructured data.
- Collaborate with Data Scientists, Analysts, and Software Engineers to deliver data-driven solutions.
- Develop efficient SQL queries and optimize database performance.
- Work with cloud platforms and big data technologies for processing and analytics.
- Ensure data quality, integrity, security, and reliability across systems.
- Assist in automating data workflows and ML model pipelines.





Preferred candidate profile:

- Bachelor's degree in Computer Science, Information Technology, Data Science, AI/ML, or a related field.
- Robust programming skills in Python (preferred), Java, or Scala.
- Good understanding of SQL, relational databases, and data modeling concepts.
- Basic understanding of machine learning algorithms and the model lifecycle.
- Familiarity with libraries/frameworks such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
- Knowledge of ETL pipelines and data warehousing concepts.
- Exposure to big data tools such as Spark, Hadoop, or Kafka is a plus.
- Familiarity with cloud platforms like AWS, Azure, or GCP.
- Understanding of version control tools like Git.
- Strong analytical, problem-solving, and communication skills.

Perks & Benefits:

Performance-based incentives.

Team outings, trips, and treks.

Health insurance coverage.

Free meals and refreshments.

Learning & Career Growth Opportunities.

Friendly Work Environment.

📌 Data Engineer (Lucknow)
🏢 Tranzita Systems
📍 Lucknow