Jobs at Bright Vision Technologies

Designs, develops, tests, and supports enterprise data and software applications. Responsibilities include building maintainable code and APIs, integrating databases and external services, implementing ETL/ELT pipelines, data modeling, orchestration, cloud data processing, testing, debugging, performance improvement, code reviews, release readiness, and production support. The role collaborates with product, architecture, QA, and operations teams in an Agile environment.

Implement, configure, integrate, and support SAP MM enterprise solutions. Gather requirements, document business processes, manage procure-to-pay, purchasing, inventory, master data, and FI/SD integrations. Coordinate testing, data conversion, reporting, security, deployments, user adoption, issue resolution, and production support while collaborating with business users, technical teams, and external partners.

Designs, builds, validates, and supports data solutions for enterprise operations, analytics, and decision-making. Responsibilities include developing data pipelines and transformations, translating business requirements into technical solutions, implementing data quality and security controls, optimizing performance and cost, documenting lineage and procedures, and supporting reliable production data systems. Requires strong SQL, Python or Scala, ETL/ELT, data modeling, Spark, orchestration, and cloud data platform experience.

Design, build, validate, and support reliable data solutions for enterprise operations and analytics. Responsibilities include developing data pipelines and transformations, translating requirements into technical solutions, implementing data quality checks and monitoring, tuning SQL and processing jobs, and documenting data definitions, lineage, and procedures. The role requires expertise in SQL, data profiling, validation, reconciliation, metadata, data modeling, ETL/ELT, data integration, access controls, and production support.

Lead the design, development, validation, and support of enterprise data solutions. Build and maintain pipelines, transformations, models, and platform components; implement data quality, security, monitoring, and recovery procedures; optimize performance and cost; document lineage and technical decisions; and translate business requirements into reliable, maintainable solutions. Collaborate with stakeholders, support production systems, and mentor peers.

Designs, builds, validates, and supports enterprise data solutions for operations, analytics, and decision-making. Responsibilities include developing pipelines and transformations, translating business requirements into technical solutions, implementing data quality and access controls, optimizing performance and cost, and documenting definitions, lineage, procedures, and technical decisions. The role requires strong SQL, data engineering, modeling, ETL/ELT, integration, governance, security, production support, and stakeholder communication skills.

Monitors service health and support queues, investigates application and data issues, coordinates escalations, maintains tickets and operational documentation, and produces reports. The role identifies recurring problems, recommends corrective actions, defines KPIs, analyzes stakeholders, and supports reliable technology services through reporting, visualization, and continuous improvement.

The SAP SD Consultant will gather requirements, document business processes, configure and support SAP SD solutions, and manage integrations across order-to-cash, pricing, sales orders, delivery, billing, and FI/MM. Responsibilities include coordinating interfaces and data conversion, conducting testing, supporting deployments and users, resolving issues, and improving processes while collaborating with business, technical, and external teams.

Designs, builds, validates, and supports enterprise data solutions for analytics and decision-making. Responsibilities include developing data pipelines, modeling and integration solutions, implementing data quality and access controls, optimizing performance and cost, documenting lineage and procedures, and supporting deployment and monitoring. The role requires collaboration with stakeholders to translate business requirements into reliable, maintainable technical solutions.

Designs, builds, validates, and supports enterprise data solutions for operations, analytics, and decision-making. Responsibilities include conceptual, logical, and physical data modeling; data integration; SQL and pipeline development; data quality, security, access controls, monitoring, and performance tuning. The role translates business requirements into maintainable technical solutions, documents data definitions and lineage, and collaborates with stakeholders throughout the delivery lifecycle.

Develop and support SAP enterprise applications using ABAP, ABAP Objects, CDS views, OData, enhancements, interfaces, debugging, and S/4HANA development. Gather requirements, configure and integrate solutions, coordinate data and security dependencies, execute testing, support deployments, resolve issues, document processes, and collaborate with business users, technical teams, and external partners.

Designs, builds, validates, and supports Snowflake-based data solutions for enterprise operations, analytics, and decision-making. Responsibilities include developing data pipelines, translating business requirements into technical solutions, implementing quality and access controls, optimizing performance and cost, documenting lineage and procedures, and supporting production data platforms. The role requires strong Snowflake, SQL, Snowpipe, Streams/Tasks, Snowpark, data modeling, ETL/ELT, governance, and stakeholder communication expertise.

The SAP FICO Consultant will gather requirements, document business processes, configure and support SAP FI/CO and S/4HANA Finance solutions, coordinate integrations and data conversion, execute testing, support deployments, resolve issues, and improve financial processes. The role covers general ledger, AP/AR, fixed assets, controlling, close processes, reporting, security, user adoption, and collaboration with business and technical teams.

Designs, builds, validates, and supports enterprise data solutions, including pipelines, transformations, models, integrations, quality controls, governance, and monitoring. Translates business requirements into maintainable technical solutions, tunes performance and costs, documents lineage and procedures, and supports production systems. The role collaborates with stakeholders and may mentor peers while working with SQL, Python or Scala, ETL/ELT, Spark, orchestration tools, and cloud data platforms.

Implement, configure, integrate, administer, and support SAP EWM solutions. Gather requirements, document warehouse processes, coordinate integrations and data conversion, execute testing, support deployments and users, resolve issues, and improve business processes. Collaborate with business users, technical teams, and external partners while delivering maintainable enterprise solutions.

Implement, configure, integrate, and support SAP PP enterprise solutions. Gather requirements, document business processes, configure functionality, coordinate integrations and data conversion, execute testing, support deployments, resolve issues, and improve manufacturing planning processes involving BOMs, routings, work centers, MRP, and production orders.

Develop and support Snowflake-based data solutions, including pipelines, transformations, data models, quality checks, access controls, monitoring, and performance optimization. Translate business requirements into reliable technical implementations, document data lineage and procedures, and collaborate with stakeholders throughout the delivery lifecycle.

Leads enterprise data integration, data warehousing, ETL, and analytics delivery using Informatica, SQL Server, Netezza, Databricks, and Power BI. Coordinates technical teams, offshore resources, stakeholders, QA, application partners, and project managers. Translates business requirements into technical solutions, oversees Agile/SDLC execution, supports production deployment, and drives data quality, performance tuning, reporting, and cloud data modernization.

Conduct functional, integration, regression, API, mobile, compatibility, and non-functional testing for iOS and Android applications. Develop and maintain automated tests, analyze failures, document reproducible defects, validate fixes, and communicate test status. Partner with engineering and product teams to improve test coverage, testability, release confidence, and software quality throughout the delivery lifecycle.

Designs and executes performance testing for native, hybrid, and mobile web applications and backend services. Measures responsiveness, startup time, resource utilization, scalability, latency, and throughput across devices and network conditions. Uses profiling, load-testing, monitoring, and diagnostic tools to identify bottlenecks, establish performance baselines, analyze trends, and provide engineering recommendations. Collaborates with mobile and backend teams on defect triage, release validation, and performance regression testing.