Seeking an ETL/Informatica IDMC Developer with end-to-end migration experience from PowerCenter to IDMC, specializing in Cloud Data Integration, API integration, and SQL development.
Responsibilities
Designing, developing, and supporting ETL/ELT solutions
Using Cloud Data Integration (CDI), Mass Ingestion, Cloud Application Integration (CAI), and Data Quality (DQ)
Integrating data from REST APIs using Informatica IDMC/IICS REST V2 Connector or Web Services Connector
Handling JSON/XML payloads, API authentication, and pagination handling
Loading data into relational databases and cloud data warehouse platforms
Lead the design, development, and delivery of full stack applications using Angular, Java, and related technologies for enterprise banking platforms.
Compensation
The annual salary for this position is between CAD $72,000 and CAD $126,000 depending on experience, qualifications, and other factors permitted by law.
Responsibilities
Lead the design, development, and delivery of full stack applications using Angular, Java, and related technologies.
Provide technical leadership and mentorship to development team members while ensuring adherence to development standards and best practices.
Design and develop REST and SOAP-based services and APIs that support enterprise-scale business applications.
Collaborate with cross-functional teams to gather requirements, estimate work, prioritize backlogs, and support Agile delivery processes.
Drive continuous integration, deployment, code quality, and performance improvements through modern DevOps practices and tools.
Requirements
Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field. Graduate degree preferred.
Contribute to the full development life cycle, including requirement analysis, functional design, technical design, programming, testing, documentation, implementation and ongoing technical support for agile projects.
Contribute to projects/CRs utilising Snowflake, DBT, Python, PySpark, AWS cloud technologies, Ab-Initio or any ETL tools, Teradata and Oracle.
Understand our customers' core business objectives and build end-to-end data-centric solutions to address them.
Lead or participate in the definition, execution and communication of ETL strategy and technical solution.
Develop complex data transformations, data cleansing and data aggregation logic using Ab-Initio or any other ETL tools, DBT, PySpark and SQL.
Requirements
Bachelor’s degree in engineering in Computer Science/Information Technology
Senior Informatica developer with strong Informatica PowerCenter and/or IICS, ETL and data warehousing, advanced SQL, Unix/Linux shell scripting, data modeling, workflow scheduling with Control-M or Autosys, performance tuning, and experience integrating XML, flat-file, and relational database sources.
Intermediate level position responsible for establishment and implementation of new or revised application systems and programs in coordination with the Technology team.
Compensation
$94,300.00 - $141,500.00
Responsibilities
Support the delivery of Global Reconciliations technology initiatives and partner with business stakeholders to ensure successful project execution.
Collaborate with cross-functional teams across technology, operations, and vendor organizations to achieve project objectives.
Apply subject matter expertise in reconciliations and contribute to the design, development, and implementation of technology solutions.
Demonstrate hands-on experience building and supporting Cash, Securities, Internal, and Inter-System Reconciliation solutions.
Leverage knowledge of financial services and business processes to identify and implement effective technology solutions.
Requirements
Bachelor’s degree/University degree or equivalent experience
Analyze, design, develop, and support enterprise data management solutions, Big Data platforms, ETL/ELT pipelines, and data integration processes.
Compensation
Pay: $50-$60/hr
Responsibilities
Analyze, design, develop, and support enterprise data management solutions, Big Data platforms, ETL/ELT pipelines, and data integration processes.
Collaborate with business stakeholders, data architects, and engineering teams to gather, analyze, and translate business requirements into functional and technical specifications.
Perform system analysis, impact assessments, gap analysis, data mapping, and source to target transformation analysis across enterprise data platforms.
Design, develop, and enhance large scale data processing solutions using Databricks, Apache Spark, PySpark, Python, Hadoop/HDFS, Hive, and Azure Data Factory (ADF).
Analyze and support Databricks notebooks, Spark jobs, Delta Lake tables, and Lakehouse data processing workflows.
Perform system analysis, impact assessments, gap analysis, data mapping
Design, develop, and enhance large scale data processing solutions using Databricks, Apache Spark, PySpark, Python, Hadoop/HDFS, Hive, and Azure Data Factory
Analyze and support Databricks notebooks, Spark jobs, Delta Lake tables, and Lakehouse data processing workflows
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