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.
Educational Qualification:
Bachelor's or Master's degree (or equivalent qualification).
Certifications (If Any):
Minimum basic-level AWS certification.
Snowflake Associate / Core certification.
Shift Timing:
12:00 PM to 9:00 PM IST
OR
2:00 PM to 11:00 PM IST
Location:
DGS India - Pune - Kharadi EON Free Zone
Brand:
Merkle
Time Type:
Full time
Contract Type:
Permanent
Benefits
Health insuranceVision insurance
Additional Information
Job Description:
Business Title: Data Engineer
Years 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.
Required Skills & Qualifications:
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.
Soft Skills:
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.
Good-to-Have Skills:
Cross-functional teamwork (internal and with external clients)
Team leadership experience
Requirement gathering skills