Description:

Incedo, a US-based consulting, data science, and technology services firm with over 3,000 professionals across the US, Mexico, and India, is looking for an experienced Senior Cloud Data Platform (GCP) Engineer to join their Hyderabad team.

The company specializes in helping clients achieve competitive advantage through end-to-end digital transformation, combining strong engineering, data science, and design capabilities with deep domain expertise. Incedo serves clients in telecom, banking, wealth management, product engineering, and life sciences & healthcare.

As a Senior Cloud Data Platform (GCP) Engineer, you will be responsible for designing, developing, and deploying cloud-based data platforms on Google Cloud Platform, ensuring optimal performance, scalability, and security. You will work closely with data analysts and scientists to build efficient data pipelines, integrate large datasets, and support advanced data science experiments. This role demands expertise in big data technologies, cloud computing, and GCP tools, along with leadership capabilities to guide a team towards successful project delivery.

Key Technical Skills:

Google Cloud Storage, Google BigQuery, Google Cloud Dataflow, Apache Beam, Hadoop, Spark, Python, Java, SQL, ETL processes, GCP infrastructure deployment, Data pipeline optimization

Requirements:

• B.Tech/B.E/M.Tech or MCA degree from a reputed university (Computer Science preferred)
• 4–6 years of experience in a relevant field
• In-depth knowledge of GCP services such as Google Cloud Storage, BigQuery, and Dataflow
• Experience building scalable and reliable data pipelines using GCP services and big data technologies like Apache Beam
• Strong programming skills in Python, Java, and SQL
• Familiarity with cloud-based infrastructure and deployment on GCP
• Excellent communication skills to explain complex technical concepts to non-technical stakeholders
• Proven leadership and team guidance capabilities

Nice-to-Have:

• Experience with other cloud platforms such as AWS or Azure
• Knowledge of advanced big data tools like Hadoop or Spark
• Strong understanding of security compliance in cloud environments