Company Sum y First American (India) is a GCC (Global Capability Center) of the First American Financial Corporation (NYSE: FAF) family of companies. FAI is a proud member of the FORTUNE 500 companies and has been a gst the Fortune 100 Best Companies to Work For list for eight consecutive years. First American Financial Corporation provides comprehensive title insurance, closing/settlement, property data and technology solutions. First American (India) creates quality solutions for its customers by combining software, back office, and knowledge processing operations to fulfill First Americans business requirements. Our priorities are our employees, customers, and shareholders - in that order. First American (India) has been ranked a gst Indias Best Companies To Work For : Listed a gst the Top 100 by Great Place To Work India, FAI is also certified Best Workplaces for Women and Workplace with Inclusive Practices.
Job Sum y Be part of a transformative team that is shaping the way First American builds and delivers world-class technology products that fuel the real estate industry. We are looking for the best-of-the-best technology experts who will envision, design, build, and deliver in ative solutions that provide exceptional experiences and lasting value to our customers.
We are looking for a Senior Data Engineer who is passionate about learning, experimenting, and building solutions in a fast-paced environment. This person will design, build, and maintain scalable data pipelines and cloud infrastructure, leveraging Databricks and PySpark to process large datasets efficiently. In this role, you will have the chance to make a big impact and drive efficiency across our organization.
What You ll Do:
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Operationalize our Databricks Lakehouse: Develop and maintain a unified data platform using Azure Databricks, enabling efficient data storage, processing, and analysis across the organization.
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Deploy Data Technology: Utilize technologies such as Spark, Kafka, and Airflow to manage large-scale data processing. Test, itor and troubleshoot systems to ensure smooth operation.
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Collaborate: Work closely with data engineers, analysts, and scientists to understand their needs and optimize the performance of data workflows
What You ll Bring:
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Development Experience: 5+ years with Python, Scala, Java, or C#. Experience with Python is preferred.
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Data Engineering Tools: 5+ years with Databricks, Snowflake, BigQuery, Apache Spark, HIVE, Hadoop, Cloudera, or RedShift. Experience with PySpark on Databricks is
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Data Architecture: Proficiency in high-performance data pipeline design and mastery of pipeline guarantees, such as Idempotency, At-Least-Once Processing, Exact-Once Processing, Fault Tolerance, Eventual Consistency, Streaming Consistency, Transactional Consistency, and Observability.
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Containerization: Experience developing in a containerized environment like Docker, Rancher, or Kubernetes.
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Data Orchestration: Experience with Apache Airflow (or similar tool) for orchestrating data processing jobs.
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Education: Bachelors degree in Computer Science (or related field) or equivalent combination of education and experience.
This is low for my experience, which is 7+, and 5+ respectively
FAI is committed to create an environment that respects, supports and inspires all individuals. We do not discriminate on the basis of color, religion, sex, gender identity, sexual orientation and age. At FAI, we celebrate diversity and believe that an inclusive workforce benefits employees, the organization and our community. We are an Equal Opportunity Employer. For more information about our company and dedication to putting People First, check out