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