Required Skills and Experience

- Expertise in data mining, data storage and Extract-Transform-Load (ETL) processes
- Experience in data pipelines development and tooling, e.g., Glue, Databricks, Synapse, or Dataproc
- Experience with both relational and NoSQL databases, PostgreSQL, DB2, MongoDB
- Excellent problem-solving, analytical, and critical thinking skills
- Ability to manage multiple projects simultaneously, while maintaining a high level of attention to detail
- Communication Skills: Must be able to communicate with both technical and non-technical colleagues, to derive technical requirements from business needs and problems

Preferred Skills and Experience
- Experience working as a Data Engineer and/or in cloud modernization
- Experience in Data Modelling, to create conceptual model of how data is connected and how it will be used in business processes
- Professional certification, e.g., Open Certified Technical Specialist with Data Engineering Specialization
- Cloud platform certification, e.g., AWS Certified Data Analytics - Specialty, Elastic Certified Engineer, Google Cloud Professional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate
- Understanding of social coding and Integrated Development Environments, e.g., GitHub and Visual Studio
- Degree in a scientific discipline, such as Computer Science, Software Engineering, or Information Technology

Who You Are

You re valuable at what you do and possess the required experience to prove it. However, equally as important - you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused - someone who prioritizes customer success in their work. And finally,



you re open and borderless - naturally inclusive in how you work with others.

Role Overview

We are seeking an experienced Senior SSIS Developer Administrator to design, develop, deploy, and manage enterprise-grade ETL solutions using Microsoft SQL Server Integration Services (SSIS). The role will also be responsible for administration, performance optimization, and ensuring data integration reliability across systems.

Key Responsibilities SSIS Development

- Design, develop, and maintain SSIS packages for data extraction, transformation, and loading (ETL)
- Build scalable data integration workflows across multiple sources (SQL Server, Oracle, flat files, APIs, etc.)
- Implement complex transformations, data cleansing, and business rules
- Develop reusable SSIS components and frameworks

Database Data Engineering
- Write optimized T-SQL queries, stored procedures, views, and functions
- Design and support data warehouse and dimensional models (Star/Snowflake schemas)
- Work closely with BI teams (Power BI / SSRS)

SSIS Administration
- Deploy, configure, and manage SSIS packages using SSIS Catalog (SSISDB)
- Monitor package execution and troubleshoot failures
- Manage SQL Server Agent jobs and scheduling
- Perform environment migrations (Dev QA Prod)

Performance Optimization




- Tune SSIS packages for performance (parallelism, memory, buffering)
- Identify bottlenecks in ETL pipelines and implement improvements
- Optimize SQL queries and data loads

Data Governance Quality
- Ensure data quality, integrity, and consistency across systems
- Implement logging, auditing, and error-handling frameworks
- Support data validation and reconciliation processes

Support Maintenance
- Provide L2/L3 production support for ETL processes
- Troubleshoot data issues and performance degradation
- Maintain documentation for ETL processes and pipelines

Required Skills Experience Technical Skills
- 6-10+ years of experience in SSIS development and administration
- Strong expertise in Microsoft SQL Server (2012/2016/2019/2022)
- Proficiency in SSIS, SSMS, SQL Server Agent
- Advanced T-SQL programming skills
- Experience with Data Warehousing concepts (ETL, OLAP, dimensional modeling)
- Hands-on with SSIS performance tuning and troubleshooting
- Experience with Data Migration and Integration projects

Additional Skills (Preferred)
- Experience with Azure Data Factory (ADF) / Azure Data Integration tools
- Knowledge of Power BI / SSRS reporting
- Exposure to DevOps / CI-CD pipelines for SSIS deployments
- Experience using Git or version control systems
- Familiarity with Python / scripting for automation

Soft Skills
- Strong analytical and problem-solving skills

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Engineer - Cognos - MS SSIS Developer and Admin (Hyderabad)
🏢 Kyndryl
📍 Hyderabad