Salary
≈ $21k – $58k per year (Estimated)
Location
In office (Lahore)
Seniority
Middle · 3+ years exp
Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Oct 13, 2026.
Overview
Company
Impact
Profile match
Requirements:
- Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field.
- Equivalent professional experience and certifications will be considered in lieu of a formal degree.
- 3+ years of hands-on experience building and managing SSIS packages, including control flow, data flow, event handlers, and error handling.
- Strong proficiency in Microsoft SQL Server (2016/2019/2022), including T-SQL, query optimization, indexing, and database design.
- Solid experience with Oracle (10g/11g/12c/19c), including PL/SQL, Oracle data types, sequences, and schema management.
- Proven experience with Oracle-to-SQL Server migrations, including schema conversion, data mapping, validation, data profiling, cleansing, and reconciliation.
- Expertise in building scalable ETL pipelines for large datasets, with strong data quality and transformation logic.
- Working knowledge of Java, including Core Java, JDBC, JDK 8+, Maven, and Java IDEs such as IntelliJ IDEA or Eclipse.
- Ability to read, debug, and migrate legacy Java-based ETL and data-integration applications to SSIS/T-SQL.
- Familiarity with Java frameworks such as Spring Batch or Apache Camel.
- Proficiency in SQL Server Management Studio (SSMS), Visual Studio (SSDT), Oracle SQL Developer or TOAD, and Microsoft SQL Server Migration Assistant (SSMA) for Oracle.
- Experience with the SSIS Catalog and SQL Server Agent for ETL job scheduling.
- Experience with Git, Azure DevOps, or TFS for version control is preferred.
- Experience with SSRS or Power BI for reporting integration is advantageous.
- Strong analytical and problem-solving skills, with excellent attention to detail.
- Excellent written and verbal communication skills for technical documentation and cross-functional collaboration.
- Ability to manage multiple tasks and priorities in a fast-paced project environment.
- Self-motivated, with the ability to work independently and as part of a team.
- Microsoft Certified: Azure Data Engineer Associate or an equivalent SQL Server certification is preferred.
- Experience with Azure Data Factory (ADF) or other cloud-based ETL platforms.
- Familiarity with data warehousing concepts, including star schema, snowflake schema, and slowly changing dimensions.
- Exposure to Azure cloud environments and experience with Agile/Scrum methodologies.
- Knowledge of data lineage and metadata management tools.
Responsibilities:
- Design, develop, and maintain robust SSIS packages for ETL workflows, data transformation, and automated data loads.
- Analyze Oracle database schemas, stored procedures, functions, and packages, and re-engineer them in T-SQL for SQL Server compatibility.
- Develop complex T-SQL queries, stored procedures, views, triggers, and functions to support business logic and reporting requirements.
- Analyze and re-engineer existing Java-based ETL applications, including JDBC-based data access, batch jobs, and stored-procedure calls.
- Convert these applications into SSIS/T-SQL equivalents and recommend modernization approaches where appropriate.
- Conduct unit testing, integration testing, and performance tuning of ETL pipelines and SQL scripts.
- Document migration strategies, data mapping specifications, ETL workflows, and technical runbooks.
- Monitor and troubleshoot ETL job failures, data discrepancies, and performance bottlenecks across production and staging environments.
- Optimize SQL queries and SSIS packages using indexing strategies, query plans, and execution profiling.
- Ensure compliance with data governance, security policies, and regulatory requirements throughout the migration process.
- Collaborate with business analysts, DBAs, and project managers to gather requirements and translate them into technical solutions.
- Provide post-migration support, including issue resolution and performance monitoring.
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