Senior Data Engineer at Akamai
Akamai is hiring a Senior Data Engineer in Bengaluru, Karnataka, India. The role details below come from the employer’s posting. You apply on the employer’s own site, and TechJobs360 never charges candidates.
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1. Job details
Akamai
Senior Data Engineer
Bengaluru, Karnataka, India
Not disclosed by employer
See the job description
On the employer’s site
2. Job description from Akamai
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.
3. Skills that usually matter in data and AI roles
General guidance from TechJobs360, not part of Akamai’s posting. The job description above is what counts for this role.
| Area | What to be comfortable with |
|---|---|
| Languages | Python, SQL, Scala |
| Frameworks & tools | Spark, pandas, PyTorch / TensorFlow, Airflow, a cloud data warehouse |
| Computer science basics | Data structures, algorithms, complexity |
| Ways of working | Version control, code review, testing, reading other people's code |
4. How to prepare for a Senior Data Engineer interview
Interview formats differ by company and team, so confirm the rounds with the recruiter. Most hiring loops for roles like this cover:
A recruiter call or an online test. Read the job description twice and be ready to explain how your experience matches it.
Often coding problems on arrays, strings, trees, graphs or dynamic programming, solved while you explain your thinking.
Often design and trade-off questions sized to the role: an API, a component, or a small system.
Answer with the STAR method (Situation, Task, Action, Result). Prepare two or three real stories: a hard problem you solved, a disagreement you handled, and something you learned quickly.
5. Take-home pay example (FY 2026–27, new tax regime)
An example for two common package sizes, not this job’s salary. Under the new tax regime (Section 115BAC) salaried employees get a standard deduction of ₹75,000.
| Component | Example: ₹12 LPA | Example: ₹24 LPA |
|---|---|---|
| Basic salary (40% of CTC) | ₹40,000 / mo | ₹80,000 / mo |
| Employee EPF (12% of basic) | -₹4,800 / mo | -₹9,600 / mo |
| Income tax (TDS) | -₹6,933 / mo | -₹32,450 / mo |
| Professional tax | -₹200 / mo | -₹200 / mo |
| Approx. in-hand | ₹81,344 / mo | ₹1,44,304 / mo |
Work out the take-home pay for your own offer, in either tax regime.
Open the salary calculator →6. Questions and how to apply
How do I apply?
Use the apply button below. It opens Akamai’s own application page.
Does TechJobs360 recruit for this job or charge a fee?
No. We list openings from employers’ career sites. Akamai runs the hiring, and nobody should ask you to pay to apply.
Is this job still open?
We check listings against the employer’s page every day and take down jobs that have closed.
Should I apply if I don’t match every requirement?
Usually yes, if you meet most of the core requirements and can show you learn quickly. A referral from someone on the team can help your resume get read.
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