Senior Data Engineer

Akamai Technologies; India; On-site; INR 2,400,000 - 4,500,000; Full time

Job summary

VELNEXAA TECHNOLOGIES LLP seeks a Senior Data Engineer focused on Tableau to design and deploy enterprise BI solutions. You will build scalable data pipelines and dimensional models, publish Tableau dashboards, and ensure data quality and governance across the organization.

You will collaborate with data architects and stakeholders, optimize ETL/ELT processes, and manage Tableau Server/Cloud environments while enabling executive decision-making through insights.

Qualifications

• Bachelor's degree and 6+ years of data engineering experience.
• Expert proficiency in Tableau development and enterprise data sources.
• Strong SQL skills and experience with cloud data warehouses.
• Python for data manipulation, ETL automation, and orchestration tooling.
• Knowledge of AI/ML concepts or integrating models into analytics pipelines.
• Excellent communication and cross-functional collaboration abilities.

Responsibilities

• Design, build, and maintain high-performance ETL/ELT pipelines using SQL and Python.
• Architect scalable data models (star/snowflake) and data marts optimized for Tableau.
• Develop and maintain Tableau dashboards with advanced calculations and RLS.
• Translate business needs into data modeling specs and visuals.
• Oversee Tableau Server/Cloud administration and scheduling of extracts.
• Provide guidance on data quality, governance, and performance tuning.
• Support CI/CD, documentation, and ongoing operational data pipeline improvements.

Skills

Tableau development

SQL

Python

dbt

Apache Airflow

Tableau Server Administration

ETL/ELT pipelines

Data modeling

Row-Level Security

Education

Bachelor's degree

Tools

Snowflake

Oracle

AIDP

Job description

Senior Data Engineer (Tableau)

Join our Data & Analytics Team!

As a Senior Data Engineer, you will collaborate with internal customers, data architects, and business stakeholders to design, build, and optimize end-to-end data pipelines and high-performance Tableau solutions. The Data & Analytics team partners across the entire organization to ensure strategic decision-making through scalable data architecture and actionable insights.

Partner with the best

As a Senior Data Engineer, you will be an integral part of our Data and Analytics team. You will design, develop, and deploy robust data pipelines, dimensional data models, and enterprise Tableau dashboards that provide substantial insights to educate and guide key stakeholders, including executive leadership.

As a Senior Data Engineer, you will be responsible for:

• Designing, building, and maintaining high-performance ETL/ELT pipelines using SQL and Python to power enterprise reporting systems
• Architecting scalable data models (star/snowflake schemas) and data marts specifically optimized for Tableau extracts (.hyper), live connections, and custom SQL queries
• Delivering Data Intelligence by developing, publishing, and maintaining intuitive Tableau dashboards, complex calculations (LODs), and Row-Level Security (RLS) architectures
• Working with stakeholders and analytics teams to translate complex business requirements into concrete data modeling specs and advanced visual capabilities
• Overseeing Tableau Server/Cloud administration, enterprise folder structures, user permissions, and extract refresh scheduling
• Becoming a subject matter expert in core business data assets, data quality governance, and performance tuning across backend data stores and front-end reports
• Providing guidance and technical assistance to the broader team on data pipeline CI/CD, process improvements, technical documentation, and on-going operational support

Do what you love

To be successful in this role you will:

• Have a bachelor's degree and 6+ years of relevant data engineering experience delivering scalable data infrastructure and high-quality BI solutions.
• Demonstrate expert proficiency in Tableau development, including enterprise data source creation, dashboard design, complex LOD calculations, RLS, and performance optimization.
• Demonstrate advanced SQL query writing skills and hands-on experience with cloud data warehouses (e.g., Snowflake, AIDP, Oracle).
• Demonstrate strong technical skills in Python for data manipulation, ETL automation, and orchestration tools (e.g., dbt, Apache Airflow).
• Possess excellent communications (written, verbal, and interpersonal) skills and effective articulation skills to translate technical infrastructure to diverse business audiences.
• Knowledge of AI/ML concepts (predictive modeling, automated forecasting) or experience integrating ML models into analytics pipelines.
• Be a good team player, drive for results, demonstrate the ability to multi-task, collaborate, prioritize, and solve complex structural problems in a fast-changing environment.
• Be able to work cross-functionally and interact effectively with all levels of the organization.