Tiger Analytics is a global analytics consulting firm. With data and technology at the core of our solutions, we are solving 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 the Silicon Valley and have our delivery
centers across the globe. The below role is for our Chennai or Bangalore office, or you can choose to work remotely.
About the role:
As a Data Engineer focused on modern data warehousing, you will be working on teams that will build a variety of
modern DW solutions. More specifically, you will
Transition data within/across traditional RDBMS, MPP DW, modern cloud-based DW
Build data warehouses & data marts on-premises/cloud
Ingest batch and streaming data, build ELT / ETL pipelines
Perform data profiling and quality analysis
Understand and load dimensional data models
Perform SQL performance tunings on long running queries
Collaborate with business consultants, data scientists, and application developers to develop analytics solutions
Required Experience, Skills & Competencies:
Hands-on experience with:
SQL
ETL tools (e.g. Informatica, Talend, Pentaho, SSIS)
RDBMS (e.g. Oracle, DB2, SQL Server)
DW on cloud (e.g. Snowflake, Redshift, Azure Synapse)
Cloud environments (e.g. AWS, Azure, GCP)
Unix shell scripting
Scheduling tools (e.g. Control-M, Autosys, Cron)
Experience in working with data marts and dimensional models (star, snowflake schema)
5+ years of relevant experience
Designation will be commensurate with expertise/experience. Compensation packages are among the best in the industry.