Tableau Developer_ Bangalore_F2F interview

Adecco India; Bengaluru; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Adecco India is seeking an experienced data engineer to design and maintain robust data pipelines and analytics models. You will leverage SQL and Python to transform data, build scalable ETL/ELT processes, and collaborate with analytics teams to deliver reliable data views.

The role requires hands-on experience with Snowflake or BigQuery, dbt, Airflow, and strong modeling skills. You will work with cross-functional stakeholders to ensure data quality and accessibility for business insights.

Qualifications

• 5+ years of experience in data engineering, backend engineering, or a related discipline.
• Define success metrics for analytics projects and understand business impact.
• Proficiency in SQL and Python for data transformation and pipeline development.
• Hands-on experience with cloud data warehouses such as Snowflake or BigQuery.
• Expertise in ETL/ELT pipeline development using dbt, Airflow, or Spark.
• Experience with Airflow for pipeline orchestration and scheduling.
• Familiarity with Data Labs or similar platforms to support analytics teams.
• Strong data modeling skills including dimensional modeling and schema design.
• Experience with Git, CI/CD workflows, and production-quality code.
• Experience designing semantic layers to provide consistent enterprise data views.
• Ability to work independently with an ownership mindset and strong communication with stakeholders.

Skills

Data engineering

Backend engineering

Define success metrics

SQL

Python

Data modeling

Dimensional modeling

Schema design

Ownership mindset

Communication with stakeholders

Independent work

Analytics for conversational support

Tools

Snowflake

BigQuery

dbt

Airflow

Apache Spark

Job description

• 5+ years of experience in data engineering, backend engineering, or a related discipline


• Understand business and define success metrics. Exposure to analytics on conversational support.


• Strong proficiency in SQL and Python for data transformation and pipeline development


• Deep hands-on experience with Snowflake, BigQuery, or similar cloud data warehouses


• Expertise in ETL/ELT pipeline development using tools such as dbt, Airflow, or Apache Spark


• Hands-on experience with Apache Airflow for pipeline orchestration, scheduling, and workflow management


• Proficiency in working with Data Labs or similar collaborative data experimentation platforms to support analytics and data science teams


• Strong understanding of data modelling principles, including dimensional modelling and schema design


• Experience with Git, CI/CD workflows, and writing clean, production-quality code


• Proven experience in designing and implementing semantic layers that abstract complexity from underlying data marts, empowering analysts with a single, consistent, and performant view of enterprise data


• Ability to work independently with minimal oversight and strong ownership mindset


• Excellent communication skills to collaborate effectively with both technical and non-technical stakeholders