FIND_THE_RIGHTJOB.
Azure Data Engineer (Senior)
India
ROLES & RESPONSIBILITIES
ABOUT THE ROLE:
We are looking for an experienced AWS Databricks Engineer to join our data engineering team. The ideal candidate will have hands-on experience designing, developing, and maintaining scalable data pipelines using Databricks on AWS cloud infrastructure.
KEY RESPONSIBILITIES:
Design, develop, and optimize scalable data pipelines and workflows using Databricks and Apache Spark on AWS.
Collaborate with data scientists, analysts, and other stakeholders to transform data into actionable insights.
Implement data ingestion processes from various sources including S3, RDS, Redshift, and external APIs.
Optimize Spark jobs for performance and cost efficiency.
Monitor and troubleshoot data workflows, ensuring data quality and integrity.
Automate deployment and orchestration of data pipelines using AWS services like Lambda, Step Functions, or Glue.
Maintain security and governance standards in cloud data environments.
Document processes, data lineage, and architecture designs.
EXPERIENCE
SKILLS
ABOUT THE COMPANY
Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP).
Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.
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