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Data Integration Manager

HNM Solutions
Multiple Locations
4 - 6 Years

Posted on: 13/11/2025

Job Description

Description :



Role : Data Integration Manager



Location : Remote



Experience : 4+ years



NOTE : Immediate joiners only



Role Overview :



We are seeking a skilled Data Integration Manager with 4- 6 years of experience to lead and manage end-to-end data integration initiatives across the organization. The ideal candidate will have hands-on experience with ETL/ELT tools, data pipelines, API integrations, data mapping, and data governance, along with strong stakeholder and project management capabilities.



Key Responsibilities :



Data Integration & Architecture :



- Lead the design, development, and maintenance of data integration pipelines across systems and applications.



- Manage ETL/ELT workflows using tools like Informatica, Talend, MuleSoft, Azure Data Factory, SSIS, or similar platforms.



- Conduct data mapping, transformation, validation, and error-handling to ensure accuracy and completeness.



- Oversee integration of structured and unstructured data from diverse sources (databases, APIs, cloud platforms).



Project & Stakeholder Management :



- Manage data integration projects end-to-end, ensuring timely delivery and quality.



- Work closely with business, analytics, and engineering teams to gather requirements and align data solutions.



- Track project progress, risks, issues, and provide regular status updates to stakeholders.



Data Quality & Governance :



- Ensure data quality, consistency, and integrity across integrated systems.



- Implement best practices for data governance, metadata management, and standardization.



- Monitor data flows and resolve integration issues proactively.



Technical Leadership :



- Guide junior team members and vendors in integration best practices.



- Recommend improvements for system performance, process optimization, and automation.



Required Skills & Qualifications :



- Bachelors degree in Computer Science, IT, Data Engineering, or related field.



- 4- 6 years of hands-on experience in data integration, ETL/ELT development, or data engineering.



- Strong experience with tools such as : Informatica / Talend / MuleSoft / Azure Data Factory / SSIS / Boomi / SnapLogic.



- Proficiency in SQL, data modeling, and relational databases.



- Experience working with REST/SOAP APIs and JSON/XML data formats.



- Good understanding of cloud platforms (Azure, AWS, GCP).



- Strong analytical, problem-solving, and communication skills.



- Ability to manage multiple integration projects simultaneously.



Good to Have :



- Knowledge of Python or scripting for automation.



- Experience with data warehousing (Snowflake, Redshift, BigQuery, Synapse).



- Familiarity with DevOps pipelines, Git, CI/CD.



- Exposure to Master Data Management (MDM) concepts.



Soft Skills :



- Strong stakeholder management



- Attention to detail and process discipline



- Leadership and team coordination



- Ability to work in fast-paced and cross-functional environments


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