Senior Data Engineer - cloud data services - Python,Spark, Hadoop, Hive, Kafka

𝐀𝐛𝐨𝐮𝐭 𝐔𝐬 :

AutomatonsX is a new-age brand from CtrlS-Cloud4C group, mission-focused on architecting and delivering intelligent automations for large-scale organizations in key industries. We go beyond regular RPA, rendering hyperautomation solutions powered by data transformations and deep analytics, autonomous platforms, and GenAI innovations. From manufacturing, healthcare, energy, BFSI, logistics industries to the BUs under them, we envision helping leaders smartly automate redundant processes at scale and improve productivity multi-fold, freeing up human resources for critical business and creative activities. Backed by CtrlS-Cloud4C group, the leading rated-IV datacenter and application-focused multi-cloud MSP globally, our experts have saved 1.2 million man hours and supported 5X faster GTMs. That's only the tip of the iceberg! Make your enterprise ready for the intelligent wave. Unlock the X-factor in business growth with the powerful integration of Analytics, AI, and Automation.

Job Summary :

We are seeking a highly skilled Senior Data Engineer to join our data engineering team. The ideal candidate will be responsible for building, optimizing, and maintaining data pipelines and architectures. You will work closely with data analysts, data scientists, and business stakeholders to deliver high-quality data solutions that support analytical and operational use cases.

Key Responsibilities :

• Design, build, and maintain scalable data pipelines and systems.
• Develop and optimize ETL / ELT processes for data ingestion, transformation, and loading.
• Collaborate with cross-functional teams to understand data needs and deliver reliable data solutions.
• Ensure data quality, integrity, and security across all platforms.
• Implement and monitor data infrastructure using cloud-based solutions (AWS, Azure, or GCP).
• Work with large datasets using technologies such as Spark, Kafka, and Hadoop.
• Develop data models and maintain data dictionaries.
• Drive automation and performance improvements across the data platform.
• Mentor junior team members and contribute to best practices and technical standards.

Required Skills and Qualifications :

Preferred Qualifications :