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Mumbai · On-site · 5-8 Yrs · Oct 20
Advertising & Public Relations · 5001 to 10000 Employees · Minato, Japan
Hiring: Engineering
What employees say
+ Flexible work from home options available
− On a serious note, they won't consider career of a candidate who joins in the company with ambitions. I was onboarded on a project after 40 days in bench, then off boarded within 2
More reviews on the company profile.
Interview experience · Project Manager
First HR Round, second Technical 1 and Technical 2, third Director meet. Final round with HR. Hiring process easy. Awaiting next step in the interview. Confusion in the job description and interviewer role expectation
Average difficulty · Bengaluru · 119 reports
More interview insightsJob description
Overview
Data Engineering Roles | Databricks & SQL Focus
Responsibilities
- Develop and deploy ETL/ELT pipelines using Databricks, PySpark, and SQL for data ingestion, transformation, and loading
- Write clean, efficient SQL and Python code for data processing, validation, and analytics
- Support data pipeline maintenance, monitor job executions, and troubleshoot data quality issues within SLA timelines
- Collaborate with Senior Engineers, Data Scientists, and Analytics teams to understand requirements and deliver solutions
- Implement data validation, error handling, and logging mechanisms to ensure pipeline reliability
- Document code, architecture decisions, and runbooks for operational excellence
- Participate in code reviews and contribute to knowledge sharing within the engineering team
Qualifications
- 5+ years of qualified experience in data engineering, ETL development, or data analytics engineering
- Strong proficiency in Databricks (Spark SQL, PySpark) with real-world pipeline development experience
- Solid SQL skills including query optimization, joins, aggregations, and window functions
- Hands-on experience with Python for data processing and scripting
- Experience with cloud platforms such as Azure Data Factory, AWS Glue, or similar ETL services
- Understanding of data architecture, data modeling, and relational databases
- Strong problem-solving skills with attention to data quality and accuracy
- Databricks Certified Data Engineer (Associate) OR
- Snowflake SnowPro Core Certified OR
- AWS Certified Data Engineer (Associate) OR equivalent professional data engineering certification
- Experience with orchestration tools (Apache Airflow, Tidal, Control-M, etc.)
- Familiarity with cloud data warehousing (Snowflake, Redshift, BigQuery)
- Experience with Git, CI/CD pipelines, and version control
- Knowledge of Agile methodologies and experience working in cross-functional teams
- Background in data validation frameworks and data quality testing
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Job application FAQ
Last updated 26 October 2026
- How do I apply for Sr Data Engineer (Mumbai) at dentsu?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. dentsu may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Sr Data Engineer (Mumbai) role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Sr Data Engineer (Mumbai) remote or on-site in Mumbai, Maharashtra?
- This listing is marked on_site with location Mumbai, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this Sr Data Engineer (Mumbai) role at dentsu?
- This is a senior Sr Data Engineer (Mumbai) role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.