Tableau - Senior Data Engineer

Tiger Analytics; Hyderabad, Chennai, Bengaluru; Hybrid; INR 900,000 - 1,400,000; Full time

Job summary

Tiger Analytics in Hyderabad, India is seeking a Tableau Senior Data Engineer (Pharma Domain) to enhance BI systems and translate business needs into scalable data solutions. You will engage with clients, design BI architectures, and contribute across Data Science, Consulting, and Engineering teams.

Ideal candidates have strong Tableau/Looker experience, SQL prowess, and familiarity with cloud data platforms like Snowflake/Redshift.

Qualifications

• Experience with BI tools (Tableau/Looker) and data analytics
• Fluent in SQL and data modeling concepts such as dimensional modeling

Responsibilities

• Engage with clients to understand their business context
• Translate business needs to technical specifications
• Discuss the design of BI solutions for deployment
• Leverage Tableau/Looker to build and support analytics platforms
• Involve in unit testing and troubleshooting
• Develop and execute database queries and analyses
• Create visualizations and build reports meeting client expectations
• Work on enhancing existing BI systems
• Ensure tech documentation is up to date
• Involve in BI performance tuning and SLA considerations
• Collaborate with Data Science, Consulting & Engineering teams to deliver analytics solutions

Skills

Tableau

Looker

SQL

OLAP

OLTP

Dimensional models

Synapse

Snowflake

Redshift

Azure

AWS

GCP

Relational databases

Flat file processing

Agile

Scripting language

REST API

Embedded analytics

Gen AI

Capacity planning

Tableau architecture

Tableau services

Tools

Tableau

Looker

Snowflake

Redshift

Synapse

Azure

AWS

GCP

Job description

Role & responsibilities

Curious about the role? What your typical day would look like?

As a Data Engineer, you will work to enhance our business intelligence system to help us make better decisions; Seamlessly switch

between roles of an Individual Contributor, team member, and data science engineer as demanded by each project to create and manage

BI and analytics solutions that turn data into knowledge. On a typical day, you might

• Engage with clients to understand their business context
• Translate business needs to technical specifications.
• Discuss the design of the BI solutions that can be built & deployed to solve the complex problem.
• Leverage Power BI to maintain & support data analytics platforms.
• Involve yourself in unit testing and troubleshooting.
• Develop and execute database queries and conduct analyses.
• Create visualizations and build reports that exceed the expectations of the clients.
• Work on enhancing the BI systems that exist.
• Develop or ensure that the tech documentation developed is updated.
• Involve in BI performance tuning & consumption patterns as you better understand BI SLAs.
• Ideate with your peers to design ground-breaking BI solutions.
• Interact and collaborate with multiple teams (Data Science, Consulting & Engineering) and various stakeholders to meet deadlines, to bring Analytical Solutions to life.

Preferred candidate profile

Tableau Senior Data Engineer (Pharma Domain),

• Strong experience in BI tools (Tableau, Looker).
• Strong experience in SQL
• Real-time experience working in OLAP & OLTP database models (Dimensional models).
• Comprehensive knowledge of SQL & modern DM environments (Synapse, Snowflake & Redshift)
• Adept understanding of any of the cloud services is preferred (Azure, AWS & GCP)
• Hands-on experience in relational database concepts and flat file processing concepts
• Get excited to work in agile methodologies and have profound knowledge of the software development lifecycle
• ETL technology exposure & experience in a scripting language would be value addition.
• Enthuse to collaborate with various stakeholders across the organization and take complete ownership of deliverables.
• Real-time exposure in security implementation in BI
• Excellent understanding of tableau architecture, Tableau services/Process.
• Knowledge on Rest Api capabilities, embedded analytics, capacity planning, Gen AI, Content Metadata.