Data Engineer (Fresher)

Fresh graduate with a strong foundation in Python, SQL, and data engineering concepts. Hands-on experience through academic and personal projects involving ETL, data processing, and relational databases. Familiar with Apache Spark, Azure Data Factory, Azure Databricks and cloud technologies through coursework and practical learning. Eager to build scalable data solutions, learn modern Big Data technologies and contribute to data-driven business applications.

Responsibilities: Collaborates on projects with team members and specialized knowledge disciplines; helps define workflows and timeframes to support specifications and guidelines. Uses knowledge of Spark and Python to Create Transformation logic which is oriented towards optimization. Leverage cloud technologies like ADF and Databricks to orchestrate your workflows. Able to use some open-source technologies and cloud services. Ensure data quality at all stages of workflow. Knowledge of different data formats and sources. Demonstrates knowledge of various database systems used in companies and should be up to date with existing Cloud Technologies being used for solving Big Data Problems.

Qualifications: Qualification: B.tech (CSE/IT/ECE), M.tech, MCA, BCA, MSC IT No Active Backlogs Passing out year: - 2026 60% throughout the career