Fifty Five Technology- (Oracle)Senior Data Engineer

About Company

FiftyFive is a global software development and technology consulting company, delivering full-cycle digital solutions across industries and geographies. We help businesses across the USA, UK, Australia, MENA, and the Nordics accelerate innovation and drive digital transformation. Our offerings span: - Custom Software & MVP Development - Web & Mobile App Development - Cloud Engineering (AWS, Azure, GCP) - Embedded Software & IoT Solutions - UI/UX and 3D Design - Software Testing & QA We specialize in cutting-edge technologies including: - AI/ML, Data Engineering, and Blockchain - Cybersecurity & DevOps - Robotic Process Automation - Sustainability-Focused Digital Initiatives We also support: - Legacy Modernization - IT Consulting & System Integrations - ERP/CRM Implementation (SAP, Microsoft Dynamics, Salesforce) - Power BI, OpenAI/ChatGPT, and other third-party integrations Through flexible remote team extension services, we help businesses build scalable and cost-effective engineering teams that move fast. Our domain expertise spans finance, healthcare, manufacturing, energy, logistics, retail, e-commerce, telecommunications, and more, empowering clients to solve complex challenges, optimize operations, and drive sustainable growth.

Location

Gurgaon / Indore / Jaipur

Onsite Requirement

Candidate should be open to work from client location in Qatar for 7–8 months

Key Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines and enterprise data workflows.
• Develop and manage data integration solutions using Oracle Cloud Infrastructure (OCI) services.
• Work extensively on Cloudera/Hadoop ecosystems for distributed data storage and processing.
• Implement data virtualisation and integration solutions using Denodo.
• Build and optimise SQL queries, stored procedures, and transformation logic for high-volume datasets.
• Design and maintain enterprise data warehouse structures, schemas, and analytical data models.
• Process and manage large-scale structured and unstructured datasets efficiently.
• Monitor, troubleshoot, and optimise pipeline performance and distributed data jobs.
• Ensure data quality, governance, security, and compliance standards are maintained.
• Collaborate with architects, analysts, business stakeholders, and engineering teams to deliver enterprise data solutions.
• Contribute to automation, CI/CD practices, and version control processes.
• Prepare technical documentation, operational runbooks, and deployment procedures.

Required Skills & Experience

• 5+ years of experience in Data Engineering or Big Data technologies.
• Strong hands-on experience with Oracle Cloud Infrastructure (OCI).
• Experience working with Cloudera and Hadoop ecosystems.
• Hands-on experience with Denodo for data virtualisation and integration.
• Strong proficiency in SQL and Python.
• Experience designing and developing ETL/ELT pipelines.
• Good understanding of enterprise data warehousing and modern data architectures.
• Experience handling large-scale distributed data processing workloads.
• Strong troubleshooting, optimisation, and performance tuning skills.
• Familiarity with enterprise data governance and security best practices.
• Excellent communication and stakeholder management abilities.

Good to Have

• Experience with Hive, Spark, or PySpark.
• Exposure to cloud-native data engineering frameworks and tools.
• Knowledge of CI/CD pipelines and version control systems such as Git.
• Familiarity with reporting and BI platforms.
• Experience working in Telecom, BFSI, or large enterprise environments.