Job Title: Senior AWS Data Engineer
Exp Range – 4-7 Years
Location – Gurugram (WFO – Hybrid)
Job Summary:
We are looking for a Mid-Senior Data Engineer to join our growing data team and help build
scalable, reliable, and efficient data pipelines and platforms. The ideal candidate has hands-on
experience in managing large-scale data systems, cloud platforms, and workflow orchestration
tools. You will play a critical role in enabling analytics, machine learning, and real-time decision-
making across the organization.
Key Responsibilities:
• Design, build, and optimize robust ETL/ELT pipelines using Python and SQL.
• Develop and manage big data processing jobs using Apache Spark (PySpark) on platforms like Databricks.
• Build and maintain orchestrated workflows using Apache Airflow, Dagster, or Prefect.
• Develop and scale cloud-based data platforms using:
• AWS (Redshift, Glue, S3, Lambda)
• Leverage Databricks for scalable data processing, Delta Lake integration, and collaborative analytics.
• Work closely with data analysts, scientists, and product teams to understand data needs and translate them into scalable solutions.
• Ensure data quality, integrity, and security across all data systems.
• Contribute to CI/CD practices for data pipeline deployment and version control.
Required Skills & Experience:
• 5+ years of professional experience in data engineering or a related field.
• Strong expertise in advanced SQL (joins, window functions, CTEs, query optimization).
• Proficient in Python, with hands-on experience using Pandas, PySpark, and SQLAlchemy.
• Solid understanding of Apache Spark architecture and performance tuning.
• Experience working on Databricks and using Delta Lake for high-performance data storageand retrieval.
• Hands-on experience with at least one cloud platform (AWS).
• Experience in data modeling, warehouse architecture, and dimensional modeling.
• Comfortable with Git and DevOps practices for data projects.
Soft Skills:
• Excellent problem-solving and debugging skills.
• Strong written and verbal communication.
• Ability to thrive in a cross-functional and agile environment.
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.
Websitehttps://www.fiftyfivetech.io/
IT Services and IT Consulting
Company size201-500 employees
HeadquartersGurgaon, Haryana
Founded2019
SpecialtiesIOT, Web Application Development, Cloud Computing, Big Data, Game Development, Generative AI, Mobile App Development, DevOps, Custom Software Development, AI/ML, Web3.0, Data Engineering, and Blockchain
Skills Required
- 5+ years of professional experience in data engineering or a related field.
- Advanced SQL (joins, window functions, CTEs, query optimization).
- Proficient in Python, with hands-on experience using Pandas, PySpark, and SQLAlchemy.
- Solid understanding of Apache Spark architecture and performance tuning.
- Experience working on Databricks and using Delta Lake.
- Hands-on experience with AWS (Redshift, Glue, S3, Lambda).
- Design, build, and optimize ETL/ELT pipelines.
- Experience with workflow orchestration tools (Apache Airflow, Dagster, or Prefect).
- Experience in data modeling, warehouse architecture, and dimensional modeling.
- Familiarity with Git and CI/CD/DevOps practices for data projects.
- Excellent problem-solving and debugging skills.
- Strong written and verbal communication skills.
- Ability to work effectively in a cross-functional and agile environment.
What We Do
NextHire Consulting is an AI-driven recruiting platform that streamlines the hiring process for companies. By leveraging AI agents for sourcing, screening, and interviewing, the platform enables teams to focus on pre-qualified finalists. It provides data-driven insights into candidate soft skills and behavioral styles, aiming to disrupt traditional recruitment models with efficient, automated, and science-based talent acquisition solutions for businesses of all sizes.
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