• Assist in the design and maintenance of various databases, including stored procedures, indexing, and data models. • Develop and optimize ETL pipelines and workflows using SSIS, Python, PySpark, and SQL Server. • Execute large-scale data migrations, including cleansing, validation, and transformation across enterprise systems. • Develop and optimize SQL scripts and stored procedures to support data conversion, validation, and ongoing processing needs. • Build data ingestion and transformation workflows across raw, staging, curated, and analytics layers. • Build and maintain various reporting solutions using SSRS and PowerBI. • Design and implement logical and physical data models (ERDs) for various applications. • Develop stored procedures, views, SQL scripts, and other database components supporting transactional and reporting systems. • Provide production support, including troubleshooting performance issues and on-call support when needed. • Collaborate with cross-functional teams and participate in Agile ceremonies, development activities, code reviews, and release cycles. • Provide knowledge transfer.

• Develop, evolve, and maintain applications with a primary focus on back-end using .NET platform technologies. • Contribute to building scalable, secure, and highly available solutions. • Develop and maintain reusable components and libraries following team-defined standards. • Participate in identifying, analyzing, and resolving issues; propose improvements and contribute to the system's evolution. • Perform code reviews and collaborate on software quality practices. • Work collaboratively with technical teams and stakeholders, maintaining clear and effective communication. • Contribute to maintaining best practices in software development and software architecture.

• Architect and hands-on build the new ASP.NET Core / C# online banking platform - system design, service boundaries, data modeling and API contracts. • Design and implement critical features and platform components; lead code and design reviews, setting the technical bar. • Lead and mentor a small agile team - run sprints, unblock engineers, own delivery commitments, coach through 1:1s and pair programming. • Partner with Finance Group technology leaders, product, QA and security to translate business and regulatory needs into robust solutions. • Collaborate with the Embrace Technology group on shared architecture, cloud and CI/CD standards and with Venture Labs / Embrace AI Group to embed AI capabilities (AI-assisted dev, predictive insights, fraud/risk monitoring) into the platform. • Drive engineering best practices - testing, CI/CD and adoption of modern AI dev tools. • Operate as a forward-deployed engineer - embed with internal product partners to co-design solutions, then rapidly conceptualize, prototype and launch new products, compressing concept-to-production from quarters to weeks. • Lead AI-first, new-product development end-to-end - design and ship LLM- and agent-powered capabilities using services such as Google Vertex AI / Gemini, OpenAI (and Azure OpenAI) and orchestration frameworks like LangChain, with disciplined evaluation, guardrails and cost / latency management. • Build full-stack and real-time - modern, accessible UX/UI, public REST APIs and live experiences via SignalR on .NET Core / C# control plane, with event-driven services through Azure Service Bus / messaging, etc. • Own the cloud and delivery foundation - infrastructure-as-code with Terraform, CI/CD on GitHub (Actions) and containerized, repeatable deployments across Azure and/or AWS. • Engineer security and compliance in by design - identity and access management (OAuth2 / OIDC, SSO, MFA), secrets management and data protection aligned to PCI DSS, SOC 2 and FFIEC, with auditability from day one. • Build and empower the team - recruit, coach and unblock a small squad of progressive FDEs, giving them the autonomy, tooling and technical bar to ship safely and fast.

Role Description We are seeking an experienced Hadoop Big Data Developer to design, build, and operate large-scale data processing pipelines and analytics platforms on Hadoop and related big-data ecosystems. In this role you will be responsible for ingesting, transforming, and analyzing massive volumes of structured and unstructured data to support enterprise analytics, machine learning, and reporting workloads. The ideal candidate will combine deep technical expertise across the Hadoop ecosystem with strong software engineering fundamentals and a clear understanding of how to deliver reliable, performant, and cost-effective data platforms in production environments. - Design, develop, and operate end-to-end big-data pipelines on Hadoop, ingesting data from a diverse mix of relational, file-based, streaming, and API-driven sources. - Build robust ETL/ELT workflows using Apache Spark, Hive, Pig, and Sqoop, with strong attention to data quality, idempotency, error handling, and recoverability. - Develop high-throughput streaming data pipelines using Kafka, Spark Streaming, or Flink, and integrate them with downstream analytical and operational systems. - Optimize Spark and MapReduce jobs through careful tuning of partitioning, memory, serialization, and skew handling to meet demanding SLAs at minimal cost. - Design and maintain data models and storage layouts on HDFS, Hive, HBase, and modern lakehouse formats (Parquet, ORC, Delta, Iceberg, Hudi) to balance flexibility and performance. - Implement data governance, lineage, and quality controls in collaboration with data governance and security teams. - Build robust monitoring, alerting, and logging strategies for big-data pipelines, including job-level SLAs and proactive failure detection. - Partner with data scientists and analysts to deliver curated, reliable, and well-documented datasets that accelerate their work. - Automate pipeline orchestration using Airflow, Oozie, or similar workflow engines, with clean dependency management and clear ownership boundaries. - Continuously evaluate and adopt new technologies in the big-data and cloud ecosystem (EMR, Databricks, Snowflake, BigQuery) where they offer meaningful improvements. - Lead performance reviews and architecture audits of existing pipelines, proposing concrete refactoring and optimization initiatives. - Document data architectures, schemas, pipeline behaviors, and operational runbooks in a way that makes the platform supportable as the team scales. - Mentor junior engineers and contribute to the team’s engineering standards and best practices. Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related technical discipline. - Five or more years of professional experience designing and operating big-data pipelines on Hadoop. - Strong hands-on expertise with Apache Spark (Scala, Python, or Java) in production environments. - Solid experience with Hive, HDFS, Sqoop, HBase, and the broader Hadoop ecosystem. - Hands-on experience with streaming data platforms such as Kafka, Spark Streaming, or Flink. - Strong SQL skills and experience working with both relational and NoSQL data stores. - Experience with workflow orchestration tools such as Airflow or Oozie. - Solid understanding of distributed systems concepts, including partitioning, replication, and fault tolerance. - Strong scripting skills in Python or Shell. - Excellent troubleshooting, debugging, and documentation skills. Preferred Qualifications - Experience operating Hadoop on cloud platforms such as AWS EMR, Azure HDInsight, or Databricks. - Familiarity with modern lakehouse formats (Delta, Iceberg, Hudi). - Exposure to data governance tooling such as Apache Atlas or Collibra. - Experience with Kubernetes-based data platforms (Spark-on-K8s, Trino). - Hands-on experience with CI/CD and infrastructure-as-code in data engineering workflows. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 505-3899. Learn more about Bright Vision Technologies at www.bvteck.com . Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.