
11 - 50 employees
Founded 2023
👥 HR Tech
🎯 Recruiter
🤝 B2B
HR Tech • Recruitment • B2B
HR POD is a leading premium global recruitment agency dedicated to elevating human resource management services. With a focus on helping companies strategize and build robust HR frameworks, HR POD specializes in recruitment, training, and performance management. They pride themselves on serving a diverse client base, particularly in the tech industry, and adopt a data-driven approach to optimize HR practices that align with organizational goals. Their commitment to integrity, customer satisfaction, and excellence positions them as a reliable partner in enhancing talent acquisition and retention strategies for businesses worldwide.
🔥 17 hours ago
Improve your chances of getting an interview by checking your resume score before you apply.

11 - 50 employees
Founded 2023
👥 HR Tech
🎯 Recruiter
🤝 B2B
HR Tech • Recruitment • B2B
HR POD is a leading premium global recruitment agency dedicated to elevating human resource management services. With a focus on helping companies strategize and build robust HR frameworks, HR POD specializes in recruitment, training, and performance management. They pride themselves on serving a diverse client base, particularly in the tech industry, and adopt a data-driven approach to optimize HR practices that align with organizational goals. Their commitment to integrity, customer satisfaction, and excellence positions them as a reliable partner in enhancing talent acquisition and retention strategies for businesses worldwide.
• Design, develop, and maintain SSIS packages for ETL workflows, data transformation, and automated data loads • Analyze Oracle schemas, stored procedures, functions, and packages, and re-engineer them in T-SQL for SQL Server • Develop complex T-SQL queries, stored procedures, views, triggers, and functions for business logic and reporting • Analyze and re-engineer Java-based ETL applications, including JDBC data access, batch jobs, and stored-procedure calls, into SSIS/T-SQL equivalents • Recommend modernization approaches for legacy Java-based ETL and data-integration applications • 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 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 • Collaborate with business analysts, DBAs, and project managers to gather requirements and translate them into technical solutions • Provide post-migration support, issue resolution, and performance monitoring
• Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field; equivalent professional experience and certifications considered in lieu of a formal degree • 3+ years of hands-on experience building and managing SSIS packages • 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 scalable ETL pipelines for large datasets, data quality, and transformation logic • Working knowledge of Java, 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 Spring Batch or Apache Camel • Proficiency in SSMS, Visual Studio (SSDT), Oracle SQL Developer or TOAD, and SSMA for Oracle • Experience with 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 • Microsoft Certified: Azure Data Engineer Associate or equivalent SQL Server certification is preferred • Experience with Azure Data Factory 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 Agile/Scrum methodologies • Knowledge of data lineage and metadata management tools • Strong analytical and problem-solving skills, attention to detail, and communication skills • Ability to manage multiple tasks and priorities in a fast-paced project environment • Ability to work independently and as part of a team
• Remote work from anywhere in Pakistan • USD salary
Apply Now🕒 August 20
Lead Data Engineer building real-time pipelines, vector databases, and ML workflows. Scaling AI infrastructure that automates operations for property management businesses.
Airflow
Apache
AWS
Azure
Cloud
ElasticSearch
Google Cloud Platform
Kafka
MongoDB
MySQL
NoSQL
Pandas
Postgres
Python
Spark
🕒 June 5
Senior Data Engineer managing marketing data pipelines for consumer brands. Building ingestion layers and ensuring data reliability across multiple platforms in a fast-paced environment.
Amazon Redshift
BigQuery
ETL
Python
SQL
🕒 March 31
Data Engineer responsible for architecting and developing data pipelines within Azure Data Lake for Creative Chaos. Working with cross-functional teams on data integration and governance practices.
Azure
ETL
Java
Python
SQL
🕒 March 31
Senior Data Engineer at a dynamic team, responsible for developing data infrastructure and optimizing workflows. Collaborating across teams to fulfill data infrastructure needs.
Apache
AWS
Azure
Cloud
ETL
Java
Kafka
MongoDB
MySQL
Postgres
Python
Scala
Spark
SQL
🕒 February 12
Senior Manager - Data Engineer aimed at designing data architecture and maintaining robust data pipelines. Leading improvements in data engineering solutions across Wholesale & Ops Banking function.
Apache
AWS
Azure
Cloud
ETL
Hadoop
Java
Kafka
MS SQL Server
NoSQL
PySpark
Python
RDBMS
Spark
SQL
Unix