Tiger Analytics : Data Engineer

Brief Description of position:

Tiger Analytics is a global analytics consulting firm. With data and technology at the core of our solutions, we solve some of the toughest problems out there. Our culture is modeled around expertise and mutual respect with a team-first mindset.

Working at Tiger, you’ll be at the heart of this AI revolution. You’ll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire. We are headquartered in Silicon Valley and have our delivery centers across the globe.

Data Engineer (Chennai/Bangalore/Remote)

  • As a Data Engineer, you will build a variety of big data analytics solutions, including big data lakes. More specifically, you will:
  • Design and build scalable data ingestion pipelines to handle real-time streams, CDC events, and batch data
  • 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
  • Make tech stack and tools related decisions
  • Collaborate with business consultants, data scientists, and application developers to develop analytics solutions

Preferred Experience, Skills & Competencies

  • 5-10 years of tech experience with at least three years in big data engineering
  • Hands-on experience with:
  • Hadoop ecosystem - HDFS, Hive, Sqoop, Kafka, ELK Stack, etc
    • Spark, Scala, Python, and core/advanced Java
    • NoSQL databases e.g., Hbase, Cassandra, MongoDB
    • Relevant AWS or Azure components required to build big data solutions
    • Good to know: Databricks, Snowflake
  • Ability to develop and manage scalable Hadoop cluster environments
  • Good understanding of data warehousing concepts, distributed systems, data pipelines, ETL

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

Location
Bangalore,Chennai,Remote
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