Desired Qualifications: Bachelor’s degree in Computer Science

Experience: 7 -8 Years

Number of positions: 01

Contract: 12 months extendable

Role Overview

We are seeking a Senior Data Engineer with strong hands-on expertise in Cloudera-based big data platforms and enterprise ETL environments. The role involves building scalable data pipelines and supporting enterprise-grade financial data processing.

Key Responsibilities

· Design and implement scalable data pipelines within the Cloudera ecosystem

· Develop transformations using Spark / PySpark and advanced SQL

· Build and optimize Hive / Impala-based data structures

· Develop and maintain ETL workflows using IBM DataStage and Informatica

· Design and manage enterprise Data Warehouse models (Star/Snowflake schemas)

· Integrate data from core banking and financial systems

· Implement data quality, validation, and reconciliation frameworks

· Optimize performance in distributed processing

Required Skills & Experience

· 8+ years experience in Data Engineering

· Strong hands-on experience with:

o Cloudera (CDP, Hadoop, HDFS, Hive, Impala)

o Spark / PySpark

o Advanced SQL

· Strong experience in enterprise ETL tools such as IBM DataStage and/or Informatica

· Strong Data Warehouse modelling expertise

· Experience with Oracle databases

· Experience in banking / financial services domain

· Preferred:

o Exposure to OFSAA-related data structures

o Experience working with large-scale financial reporting datasets

o Familiarity with distributed performance tuning

If you are interested in this opportunity, please send your resume ensuring the position name is included in the subject line. Additionally, please provide the following information:

Ps: candidates who can join on an immediate basis will be highly considerable.

💼 Relevant years of experience: -

📍 Current location: -

💰 Current Salary: -

💰 Expected Salary: -

📆 Notice period: -