Junior Data Engineer

Prasaditya Idea Private Limited; Bengaluru; On-site; INR 400,000 - 560,000; Full time

Job summary

Prasaditya Idea Private Limited in Bengaluru seeks fresh graduates for an entry-level Data Engineer role to support enterprise data initiatives for a leading banking client. You will work on Databricks-based ETL pipelines, PySpark transformations, and SQL-driven data quality and governance tasks.

The role emphasizes hands-on project exposure with Databricks, Spark, Delta Lake, and data lake/warehouse concepts, with growth into enterprise data engineering practices in a collaborative team.

Qualifications

• Hands-on project experience with Databricks, ETL pipelines and data workflows.
• Experience with SQL queries including joins, aggregations and window functions.

Responsibilities

• Develop and support ETL/ELT data pipelines using Databricks.
• Perform data ingestion, transformation, cleansing and validation using PySpark and SQL.
• Work with Apache Spark, DataFrames and Delta Lake/Delta Tables.
• Develop SQL queries involving joins, aggregations, CTEs and window functions.
• Work with structured and semi-structured data and support incremental data processing.
• Support Bronze, Silver and Gold data processing layers.
• Monitor data pipelines, troubleshoot failures and resolve basic data-quality issues.
• Follow coding, documentation, security and data-governance standards.

Skills

Databricks

ETL/Data Engineering

SQL

Python & PySpark

Apache Spark

Delta Lake / Delta Tables

Data Lake / Data Warehouse concepts

Education

B.E./B.Tech/M.Tech/MCA/M.Sc. in Computer Science, IT, Data Science, Data Engineering or related disciplines

Tools

Databricks Notebooks/Jobs

Delta Lake

Apache Spark

PySpark

Job description

Position Overview

We are looking for fresh graduates / entry-level Data Engineers to join our Data Engineering team supporting enterprise data initiatives for a leading banking client. The candidate should have strong fundamentals and hands-on academic/project exposure in Databricks, ETL, SQL and Python/PySpark.

Key Responsibilities

• Develop and support ETL/ELT data pipelines using Databricks.
• Perform data ingestion, transformation, cleansing and validation using PySpark and SQL.
• Work with Apache Spark, DataFrames and Delta Lake/Delta Tables.
• Develop SQL queries involving joins, aggregations, CTEs and window functions.
• Work with structured and semi-structured data and support incremental data processing.
• Support Bronze, Silver and Gold data processing layers.
• Monitor data pipelines, troubleshoot failures and resolve basic data-quality issues.
• Follow coding, documentation, security and data-governance standards.

Mandatory Skills

• Databricks – Notebooks, Jobs/Workflows and basic platform understanding
• ETL/Data Engineering – Data ingestion, transformation, cleansing and validation
• SQL – Joins, aggregations, subqueries/CTEs, window functions
• Python & PySpark – DataFrames, transformations, filtering, joins and aggregations
• Apache Spark fundamentals
• Delta Lake / Delta Tables – basic understanding of MERGE, schema management and ACID concepts
• Basic understanding of Data Lake / Data Warehouse concepts

Candidate Profile

• Strong analytical and problem-solving skills
• Genuine hands-on project/internship exposure to Databricks and ETL
• Ability to explain an end-to-end data pipeline/project
• Good communication and teamwork skills
• Willingness to learn enterprise data engineering practices
• Awareness of data accuracy, confidentiality and security, particularly for financial/customer data

Education & Experience

• Experience: 0–1 year / Freshers
• Qualification: B.E./B.Tech/M.Tech/MCA/M.Sc. in Computer Science, IT, Data Science, Data Engineering or related disciplines
• 2025/2026 graduates with relevant hands-on project experience may be considered.

Key Skills: Databricks | ETL | SQL | Python | PySpark | Delta Lake | Data Engineering