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Data Engineer

Job in 682011, Ernākulam, Kerala, India
Listing for: Confidential
Full Time position
Listed on 2026-02-03
Job specializations:
  • IT/Tech
    Data Engineer, Data Warehousing
Salary/Wage Range or Industry Benchmark: 200000 INR Monthly INR 200000.00 MONTH
Job Description & How to Apply Below
Location: Ernākulam

Job Title:

Senior Data Engineer / ETL Developer – Azure Data Factory
Work Mode:
Remote
Work Timings:
Qatar Time | Sunday – Thursday | 9:30 AM – 5:30 PM
Salary: ₹2,00,000 per month
Domain:
Banking & Financial Services

Mandatory Technical Skills
Azure Data Factory (ADF) – Advanced
Oracle SQL / PL-SQL – Advanced
T-SQL & Stored Procedures – Advanced
Banking Domain Experience – Advanced
Data Warehousing Concepts – Advanced
Data Modeling – Intermediate

Preferred Experience
7+ years of experience as a Data Engineer / ETL Developer
3+ years of hands-on experience with Azure Data Factory
3+ years of experience in the Banking domain
Strong expertise in building ADF pipelines and data flows
Solid understanding of enterprise data warehousing architecture
Hands-on experience with CI/CD for Azure Data Factory using Azure Dev Ops

Key Responsibilities
Collaborate closely with Data Analysts and business stakeholders to understand data requirements and design a scalable, sustainable enterprise data warehouse
Design, develop, and maintain enterprise data warehouse models and frameworks
Build and manage ETL pipelines sourcing data from multiple internal and external systems, including:
Structured data
Unstructured data
APIs
JSON files
Streaming data sources
Translate business requirements into target data models and ETL solutions
Develop optimized and high-performance data pipelines for efficient data extraction, transformation, and loading
Analyze existing data solutions and enhance or replace them with improved architectures
Implement, manage, and maintain CI/CD pipelines for Azure Data Factory using Azure Dev Ops

Additional Notes
Role follows Qatar calendar and holidays
Ideal for candidates experienced in banking data platforms and enterprise-scale data solutions
Long-term, stable remote engagement
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