Role Description Als Backend Developer bist du das Rückgrat unserer App-Entwicklung! Du arbeitest eng mit unserem Team Lead Development und dem Team zusammen, um die Vision von MetaFlow technisch umzusetzen. - Feature-Entwicklung: Du setzt neue Features im Python/Django-Umfeld um und erweiterst unsere REST API (idealerweise mit Django Ninja) um neue, performante Endpunkte. - Daten & Architektur: Du verantwortest die Datenmodellierung und Implementierung in unserer PostgreSQL-Umgebung und achtest dabei stets auf Query-Optimierung. - Qualitätssicherung: Du schreibst automatisierte Tests (pytest/unittest), führst gewissenhafte Code-Reviews durch und sorgst für Deployments, auf die man sich verlassen kann. - System-Pflege: Du übernimmst das Monitoring, Bugfixing sowie die CI/CD-Pflege, um unsere Systeme stabil und verfolgbar zu halten. - Innovation: Du nutzt KI-unterstützte Entwicklungstools, um effizienter zu werden, und bringst aktiv Vorschläge zur Performance-Optimierung ein. Qualifications - 4–5 Jahre fundierte Erfahrung in der Python-Entwicklung mit Django in produktiven, komplexen Softwareprojekten. - Tiefes Verständnis von RESTful API Design, ORMs, Datenmigrationen und Clean Code Prinzipien (SOLID, Design Patterns). - Routine im Umgang mit Git, Docker, relationalen Datenbanken (PostgreSQL/MySQL) und modernen CI/CD-Tools. - Strukturiert und lösungsorientiert, übernimmst Verantwortung und legst hohen Wert auf hochwertige Ergebnisse. - Kommunikation auf Deutsch (C1) und Englisch (B1/B2). Requirements - Erfahrung mit Celery/Redis, Monitoring-Tools (Sentry) oder Kenntnisse in React Native sind sehr willkommen. Benefits - Full Mobile Office Work & Flexibilität: Arbeite deutschlandweit mit maximalem Vertrauen. - 30 Urlaubstage + 2 Charity-Tage on top. - Corporate Benefits, Fitnesszuschuss, mentale Gesundheits-Plattform (Nilo Health). - Mobilitäts-Zuschuss, Tierpatenschaft, Teamevents, Produktpakete. - Und am wichtigsten: immer ein offenes Ohr für dich!

Role Description Reporting to the Software Engineering Manager as a member of the Development team at IDC, the Principal Software Engineer is responsible for delivering quality and performant software and design to handle the vast array of use cases that our customers have today. This role is responsible for developing software solutions by learning information needs, discussing with managers, studying systems flow, data usage, finding problem areas and coming up with solutions & following the software development lifecycle. - Responsible for technical development of multiple projects & products - Working on data structures & algorithms, time & space complexity, OOPs - Transforming Logic to Code - Designing and developing UI front end Technologies - Working on web application development - Developing products by using different technologies - Doing optimization of Code - Working on Debugging and fixing Cross Browser Compatibility issues and Optimization for web by using best practices - Making sure that Web applications are secure - DevOps transformation using Agile and SCRUM methodologies - Provide recommendations for continuous improvement - Assisting in the integration of technical and application components - Work alongside other team members & Leaders to elevate technology and consistently apply best practices - Responsible for providing smart & applicable solutions for complex problems/ blockers - Supports and mentor junior team members by providing advice, coaching & solutions for blockers Qualifications - 5+ years’ experience in product development field with hands-on experience - Strong knowledge in OOPS with .Net, C# or relevant technologies with SQL Server or any RDBMS - Hands-on experience in design and development on UI front end Technologies - Good exposure to web application development using HTML 5, CSS3, Bootstrap, JavaScript - Experience in development of Angular 4+, VueJS or React - Expertise in Responsive web design, HTML5, and CSS pre-processors - Strong in JavaScript (object-oriented concepts) & JavaScript optimization - Strong logical, analytics and problem-solving skills - Must be able to work effectively across team boundaries - Attention to details - Ability to work independently - Strong oral and written communication skills - Working knowledge of CI/CD pipelines and AWS/Azure cloud services is essential - Hands-on experience of building products for Unix systems in addition to Windows is good to have - Very good communicator Education - Engineering graduate or higher from Tier I or Tier II colleges Company Description Energy Exemplar is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all team members. We welcome applications from people of all backgrounds, experiences, identities, and abilities. Please let us know if you require accommodations at any stage of the recruitment process—we're here to support you in showcasing your full potential. Energy Exemplar respects your privacy and is committed to protecting the personal data you share during the recruitment process.

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. Key Responsibilities - 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 For immediate consideration, please send your resume to [email protected] or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com .

• Design and develop backend services within our microservices ecosystem. • Build new services for subscriptions and loyalty. • Refactor and gradually extract business logic from the monolith into dedicated services. • Design interfaces for exchanging financial data between engineering teams. • Participate in architectural discussions and technical decision-making. • Improve system performance, maintainability, and transparency. • Review code and promote engineering best practices. • Collaborate closely with engineers across multiple product teams. • Gradually take ownership of leadership within the team.