Fifty Five Technology- (Oracle)Senior Data Engineer

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

\n Key Responsibilities

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

Required Skills & Experience

• 5+ years of experience in Data Engineering or Big Data technologies.\n

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

\n


\n Good to Have
Experience with Hive, Spark, or PySpark.

\n
• \n

  Exposure to cloud-native data engineering frameworks and tools.

\n
• \n

  Knowledge of CI/CD pipelines and version control systems such as Git.

  \n

  Familiarity with reporting and BI platforms.

\n
• \n

  Experience working in Telecom, BFSI, or large enterprise environments.