Junior Data Engineer- Fifty Five Technologies

Job Description – Junior Data Engineer Company Overview 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. Website: https://www.fiftyfivetech.io/ About the Role We are looking for a motivated and detail-oriented Junior Data Engineer to join our growing data team. The ideal candidate will have a strong foundation in data engineering, hands-on experience with Python and SQL, and exposure to at least one major cloud platform (AWS, Azure, or GCP). You will work closely with data engineers, analysts, and business stakeholders to design, develop, and maintain scalable data pipelines and data processing solutions that support business intelligence and analytics initiatives. Key Responsibilities Design, build, and maintain reliable and scalable data pipelines. Develop and optimize ETL/ELT processes for data ingestion and transformation. Work with structured and semi-structured datasets from multiple sources. Write efficient and optimized SQL queries for data extraction, validation, and analysis. Develop data processing workflows using Python. Collaborate with cross-functional teams to understand data requirements and deliver solutions. Monitor, troubleshoot, and improve data pipeline performance and reliability. Ensure data quality, consistency, and governance standards are maintained. Participate in code reviews, testing, and deployment activities. Work within cloud environments to support data engineering workloads. Required Skills & Qualifications Technical Skills 3–5 years of experience in Data Engineering or related roles. Strong proficiency in Python . Strong expertise in SQL and database concepts. Hands-on experience with at least one cloud platform: AWS Microsoft Azure Google Cloud Platform (GCP) Good understanding of data engineering fundamentals, ETL/ELT processes, and data modeling. Experience working with large datasets and data transformation workflows. Understanding of data warehousing concepts and best practices. Preferred Skills Experience with one or more of the following is an advantage: Apache Spark / PySpark Databricks Apache Airflow Snowflake Redshift BigQuery Azure Data Factory CI/CD practices for data pipelines Soft Skills Excellent verbal and written communication skills. Strong analytical and problem-solving abilities. Ability to work independently in a remote/hybrid environment. Effective collaboration and stakeholder management skills. Location Preference: Bangalore Chennai Jaipur Indore Gurgaon Noida Delhi NCR