Tiger Analytics is a global AI and analytics consulting firm. With data and technology at the core of our solutions, our 2800+ tribe is solving problems that eventually impact the lives of millions globally. Our culture is modeled around  expertise and respect with a team-first mindset. Headquartered in Silicon Valley, you’ll find our delivery centers        across the globe and offices in multiple cities across India, the US, UK, Canada, and Singapore, including a                    
substantial  remote global workforce.

We’re Great Place to Work-Certified™. Working at Tiger Analytics, you’ll be at the heart of an AI revolution. You’ll        work with teams that push the boundaries of what is possible and build solutions that energize and inspire.

As a Big Data Engineer (Azure), you will build and learn about a variety of analytics solutions & platforms, data lakes, modern data platforms, data fabric solutions, etc. using different Open Source, Big Data, and Cloud technologies on Microsoft Azure. On a typical day, you might

● Design and build scalable & metadata-driven data ingestion pipelines (For Batch and Streaming Datasets)

● Conceptualize and execute high-performance data processing for structured and unstructured data, and data        
   harmonization

● Schedule, orchestrate, and validate pipelines

● Design exception handling and log monitoring for debugging

● Ideate with your peers to make tech stack and tools-related decisions

● Interact and collaborate with multiple teams (Consulting/Data Science & App Dev) and various stakeholders to     meet deadlines, to bring Analytical Solutions to life.

● 4 to 9 years of total IT experience with 2+ years in big data engineering and Microsoft Azure

● Experience in implementing Data Lake with technologies like Azure Data Factory (ADF), PySpark, Databricks, ADLS,
   Azure SQL Database

● A comprehensive foundation with working knowledge of Azure Synapse Analytics, Event Hub & Streaming                
  Analytics, Cosmos DB, and Purview

● A passion for writing high-quality code and the code should be modular, scalable, and free of bugs (debugging      
  skills in SQL, Python, or Scala/Java).

● Enthuse to collaborate with various stakeholders across the organization and take complete ownership of                
 deliverables.

● Experience in using big data technologies like Hadoop, Spark, Airflow, NiFi, Kafka, Hive, Neo4J, Elastic Search

● Adept understanding of different file formats like Delta Lake, Avro, Parquet, JSON, and CSV

● Good knowledge of building and designing REST APIs with real-time experience working on Data Lake or                   
   Lakehouse projects.

● Experience in supporting BI and Data Science teams in consuming the data in a secure and governed manner

● Certifications like Data Engineering on Microsoft Azure (DP-203) or Databricks Certified Developer (DE) are                
   valuable addition.

Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today we urge you to apply as there might be a suitable/unique role for you tomorrow.

We are an equal-opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust,respect, and encourage people to grow the way they desire.

Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.