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Open nowFirst seen 4 days ago

SSIS / SQL Developer – Data Migration (Remote, Anywhere From Pakistan, USD Salary))

HR POD - Hiring Talent Globally47 open roles

Where
Lahore, Pakistan
Work mode
Remote
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Your applicationOpen nowSSIS / SQL Developer – Data Migration (Remote, Anywhere From Pakistan, USD Salary))HR POD - Hiring Talent Globally · Lahore, Pakistan

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. HR POD - Hiring Talent Globally postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: first seen 4 days ago

HR POD - Hiring Talent Globally median: 1 days open

The posting

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, with the 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, into SSIS/T-SQL equivalents while recommending 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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