The Role
Design and maintain scalable data architectures and ETL/ELT pipelines; write optimized SQL and Python code; deploy solutions on AWS (S3, Lambda) and Snowflake; implement data quality checks and monitoring; support GenAI initiatives; collaborate with stakeholders; document work and perform mid-to-complex tasks with minimal supervision.
Summary Generated by Built In
Job Description:
Business Title: Data EngineerYears of Experience:Minimum 6 years to maximum 10 years
Job Description:We are seeking a highly skilled and motivated Data Engineer to join our team and help build robust, scalable, and efficient data infrastructure. You will play a key role in designing and maintaining data pipelines, ensuring data quality, and supporting analytics and AI initiatives.
Must-Have Skills:- Design and implement scalable data architecture, including views, fact, and dimension tables.
- Develop and maintain ETL/ELT pipelines to ingest, transform, and load data from various sources.
- Write efficient and optimized SQL queries for data extraction and transformation.
- Build and monitor data quality checks and pipeline health metrics.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Work with cloud platforms, ideally AWS (e.g., S3, Lambda), to deploy and manage data solutions.
- Utilize Python for data processing, automation, and integration tasks.
- Leverage Snowflake for data warehousing and analytics (experience is a plus).
- Support GenAI development initiatives in Python or demonstrate the ability and willingness to learn.
- Strong proficiency in SQL and Python.
- Experience with data modeling and architecture best practices.
- Hands-on experience with ETL/ELT frameworks and tools.
- Familiarity with Snowflake or similar cloud data platforms.
- Good understanding of cloud computing, preferably AWS.
- Knowledge of data pipeline monitoring and alerting systems.
- Exposure to GenAI development or strong interest in learning.
- Curious and passionate about learning new technologies.
- Strong business acumen and ability to understand domain-specific needs.
- Proactive and customer-oriented mindset.
- Excellent team spirit and collaboration skills.
- Fast learner with the ability to adapt to evolving tech landscapes.
- Cross-functional teamwork (internal and with external clients)
- Team leadership experience
- Requirement gathering skills
- Work as an Individual Contributor (IC).
- Understand design/tasks and develop code accordingly.
- Perform mid- to complex-level tasks with minimal supervision.
- Maintain proper documentation.
- Work with minimal guidance from senior resources.
- Bachelor’s or Master’s degree (or equivalent qualification).
- Minimum basic-level AWS certification.
- Snowflake Associate / Core certification.
- 12:00 PM to 9:00 PM IST
OR - 2:00 PM to 11:00 PM IST
Location:
DGS India - Pune - Kharadi EON Free ZoneBrand:
MerkleTime Type:
Full timeContract Type:
PermanentSkills Required
- Design and implement scalable data architecture (views, fact and dimension tables)
- Develop and maintain ETL/ELT pipelines to ingest, transform, and load data
- Write efficient and optimized SQL queries for extraction and transformation
- Build and monitor data quality checks and pipeline health metrics
- Collaborate with cross-functional teams to translate business requirements into technical solutions
- Work with cloud platforms, preferably AWS (S3, Lambda), to deploy and manage data solutions
- Proficiency in Python for data processing, automation, and integration tasks
- Familiarity with Snowflake or similar cloud data warehousing platforms
- Experience with data modeling and architecture best practices
- Hands-on experience with ETL/ELT frameworks and tools
- Knowledge of data pipeline monitoring and alerting systems
- Support GenAI development initiatives in Python or demonstrate strong willingness to learn
- Minimum 6 years to maximum 10 years of relevant experience
- Bachelor's or Master's degree (or equivalent)
- Minimum basic-level AWS certification
- Snowflake Associate / Core certification
- Cross-functional teamwork experience
- Team leadership experience
- Requirement gathering skills
dentsu Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about dentsu and has not been reviewed or approved by dentsu.
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Parental & Family Support — Paid parental leave at full pay and caregiver supports (including backup care) are emphasized as standout elements. Feedback suggests family-oriented benefits are a strong part of the package.
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Leave & Time Off Breadth — Flexible or unlimited PTO, extensive paid holidays, and a year-end office closure are established components. Feedback suggests time-off policies are generous and add meaningful flexibility.
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Retirement Support — A large, established 401(k) plan with employer matching is clearly documented. Feedback suggests retirement benefits feel competitive and straightforward.
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The Company
What We Do
We are dentsu. We team together to help brands predict and plan for disruptive future opportunities and create new paths to growth in the sustainable economy. We know people better than anyone else and we use those insights to connect brand, content, commerce and experience, underpinned by modern creativity. We are the network designed for what’s next
