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Fifty Five - Senior Data Engineer

Posted 14 Days Ago
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In-Office
Gurugram, Haryana
Senior level
In-Office
Gurugram, Haryana
Senior level
Design, build, and optimize scalable ETL/ELT pipelines and big-data processing on Databricks using PySpark. Implement orchestrated workflows (Airflow/Dagster/Prefect), ensure data quality/security, enable analytics and ML, and contribute to CI/CD and DevOps practices for data platforms on AWS (Redshift, Glue, S3, Lambda).
The summary above was generated by AI

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. 

Website

https://www.fiftyfivetech.io/

Industry

IT Services and IT Consulting

Company size

201-500 employees

Headquarters

Gurgaon, Haryana

Founded

2019

Specialties

IOT, 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

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