Fresh Jobs at Interswitch

Job Summary

• Implement and monitor robust, stable and highly available technology platforms (i.e. systems, applications and services) that drive Interswitch business solutions

KEY RESPONSIBILITIES

• Contributes perspective to the functional direction
• Participate in Dynamics 365FO implementation throughout all project stages including analysis, design development, tests and support.
• Hands-on implementation and deployment of MS Dynamics 365 F&O in Finance, logistics and commercials.
• D365 Solution architect and consulting services to customers.
• Business process discovery documentation
• Prepare functional specifications for customization
• Offer user support to end users on day to end users of AX/dynamics 365
• Designing and preparing various reports required by various users.
• Design analysis services that can be used for business analysis
• Prepare user manuals and deliver training to end user
• Prepare test scripts and conduct user acceptance testing
• Develops, deploys, maintains and updates application code.
• Completes required coding to satisfy the defined acceptance criteria and deliver the desired outcome
• Writes and maintains units test for application codes
• Participate in daily stand-up meetings to plan and implement product features and upgrades.
• Contributes to requirement analysis, system design, and task estimation during sprint planning meetings.
• Assists in the development of automated testing and supporting code as necessary
• Responsible for delivery under the supervision of the software architect
• Solves problems efficiently

EDUCATION AND EXPERIENCE

Academic Qualification(s):

• Good first degree in Finance/Computer science or other related area Professional

Qualification(s):

Experience (Number of relevant years):

• Minimum of two (3) years’ experience

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Job Summary

• To build reliable data integration solutions, clean, transform, and analyze vast amounts of big data from various systems using Spark and other ETL tools to provide ready-to-use datasets to data scientists and data analysts, while ensuring data quality and integrity. Collaborate with stakeholders to design scalable and efficient data solutions that enable informed decision-making, and compliance with data governance.

Responsibilities:

Data Ingestion and Extraction

• Develop and implement efficient data ingestion pipelines to acquire and extract large volumes of structured and unstructured data.
• Ensure data integrity and quality during the ingestion process.
• Integrate various data sources and formats into a unified data ecosystem.

Data Processing and Transformation

• Design and execute data processing workflows to clean, transform, and enrich raw data.
• Develop scalable data processing algorithms and techniques to handle big data volumes efficiently.
• Optimize data processing pipelines for performance and reliability.

Data Storage and Management

• Create and maintain data storage architectures that cater to the specific needs of big data applications.
• Implement robust data management strategies, including data partitioning, indexing, and compression techniques.
• Ensure data security, privacy, and compliance with relevant regulations.

Data Analysis and Modeling

• Collaborate with data scientists and analysts to understand their requirements and translate them into scalable data models.
• Apply data visualization techniques to communicate insights effectively.

Performance Optimization

• Identify and implement strategies to enhance the performance and efficiency of big data applications and systems.
• Conduct performance tuning, load testing, and capacity planning to meet scalability and throughput requirements.
• Monitor system performance and troubleshoot issues related to data processing, storage, and retrieval.

Data Governance and Compliance

• Establish and enforce data governance policies, standards, and best practices.
• Ensure compliance with data regulations, such as GDPR or HIPAA, by implementing appropriate data protection measures.
• Conduct data audits and implement data quality controls to maintain data accuracy and consistency.

Collaboration and Communication

• Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand their data requirements and provide technical support.
• Communicate complex technical concepts and findings to non-technical stakeholders clearly and concisely.
• Participate in knowledge-sharing activities and contribute to the continuous improvement of data engineering practices.

Documentation and Documentation

• Document data engineering processes, workflows, and system architectures for future reference and knowledge transfer.
• Prepare technical documentation, including data dictionaries, data lineage, and system specifications.
• Create and maintain documentation related to data governance, compliance, and security protocols.

Education

Academic Qualification(s):

• BSc in Computer Science/Engineering or related field.

Evidence of strong industry/sector participation and relevant professional certifications such as:

• Azure Data Engineer Associate
• Databricks Certified Data Engineer Associate
• Databricks Certified Data Engineer Professional
• Amazon Web Services (AWS) Certified Data Analytics – Specialty
• Cloudera Data Platform Generalist Certification
• Data Science Council of America (DASCA) Associate Big Data Engineer
• Data Science Council of America (DASCA) Senior Big Data Engineer
• Google Professional Data Engineer
• IBM Certified Solution Architect – Cloud Pak for Data v4.x
• IBM Certified Solution Architect – Data Warehouse V1

Experience

• At least 3 years developing, deploying, and managing robust ETL/ELT data solutions, preferably in a reputable Financial Institution or FinTech company.