# Data Integration Engineer

> Weekday AI · Hyderabad, India · Full-time · Posted 2026-09-21

**Salary:** INR 2,500,000–3,000,000

**Workplace:** on_site

**Department:** Weekday's Client via platform

## Description

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟮𝟱𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟯𝟬𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟮𝟱-𝟯𝟬 𝗟𝗣𝗔)

Experience: 12+ yrs

Location: Hyderabad

Job Type: Full-time

We are looking for an experienced **Senior Data Integration Engineer** to design, develop, and support robust data integration solutions that enable the reliable movement of financial and operational data across complex enterprise systems.

The role requires strong expertise in **ETL/ELT, SQL, data pipelines, batch processing, data transformation, reconciliation, and data quality**. You will play a critical role in ensuring that business-critical data is accurately transformed, validated, and delivered to analytics platforms, downstream systems, and external partners.

The ideal candidate will bring strong technical expertise, excellent problem-solving capabilities, and experience working with enterprise-scale data environments, particularly within financial services.

## Requirements

Key Responsibilities

-   Design, develop, test, and maintain scalable **data integration and ETL/ELT solutions**.
-   Build reliable pipelines for extracting, transforming, validating, and delivering financial and operational data.
-   Analyse source systems and develop accurate **source-to-target mappings, transformation rules, and business logic**.
-   Develop automated processes for data extraction, transformation, validation, reconciliation, and file generation.
-   Build and support scheduled **batch processing frameworks and recurring data pipelines**.
-   Implement data quality controls, reconciliation checks, exception management, and control-total validations.
-   Collaborate with Business Analysts, Product Owners, Data Owners, vendors, and other stakeholders to understand integration requirements.
-   Validate source data, file specifications, mapping requirements, transformation logic, and integration outputs.
-   Support **System Integration Testing (SIT), User Acceptance Testing (UAT), production deployments, and post-deployment validation**.
-   Investigate data discrepancies, perform root-cause analysis, and implement corrective and preventive actions.
-   Monitor production jobs, data pipelines, and time-sensitive data feeds to ensure accurate and timely delivery.
-   Troubleshoot integration failures and coordinate with relevant teams to resolve production issues.
-   Optimise data integration processes for **performance, scalability, reliability, and maintainability**.
-   Create and maintain interface specifications, mapping documents, transformation documentation, and operational procedures.
-   Maintain audit-ready documentation and support data governance, compliance, and control requirements.
-   Contribute to Agile planning, technical discussions, code reviews, and continuous improvement initiatives.

What Makes You a Great Fit

-   **12+ years of experience** in data engineering, data integration, ETL/ELT, enterprise application integration, or a related technology domain.
-   Strong hands-on experience designing and developing **data integration, ETL/ELT, batch processing, and scheduled data delivery solutions**.
-   Strong proficiency in **SQL** and experience working with enterprise databases.
-   Experience working with **file-based integrations, analytics platforms, and enterprise data systems**.
-   Proven ability to analyse complex source systems and create effective **source-to-target mappings and transformation rules**.
-   Strong understanding of data quality, reconciliation, validation, exception handling, and control-total processes.
-   Experience supporting **SIT, UAT, production releases, deployment validation, and defect resolution**.
-   Strong production-support experience involving business-critical data pipelines and time-sensitive data feeds.
-   Experience creating technical documentation including interface specifications, mappings, transformation logic, and operational procedures.
-   Strong understanding of data governance, security controls, regulatory requirements, and audit considerations.
-   Experience working with **financial services data** such as brokerage, wealth management, banking, cash management, or deposit systems is highly desirable.
-   Strong analytical, debugging, and root-cause analysis skills.
-   Excellent communication and stakeholder-management skills.
-   Ability to work effectively with Business Analysts, Product Owners, Data Owners, vendors, Scrum Masters, and engineering teams.
-   Experience working in **Agile/Scrum development environments**.
-   Strong ownership mindset with the ability to manage complex integration challenges independently.
-   Bachelor's degree in **Computer Science, Information Systems, Engineering, or a related discipline** is preferred; equivalent professional experience may also be considered.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/DCF4563D14/apply)

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