Job Description:
Minimum 6 years to maximum 10 years
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.
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Design and implement scalable data architecture, including views, fact, and dimension tables.
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Develop and maintain ETL/ELT pipelines to ingest, transform, and load data from various sources.
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Write efficient and optimized SQL queries for data extraction and transformation.
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Build and monitor data quality checks and pipeline health metrics.
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Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
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Work with cloud platforms, ideally AWS (e.g., S3, Lambda), to deploy and manage data solutions.
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Utilize Python for data processing, automation, and integration tasks.
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Leverage Snowflake for data warehousing and analytics (experience is a plus).
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Support GenAI development initiatives in Python or demonstrate the ability and willingness to learn.
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Strong proficiency in SQL and Python.
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Experience with data modeling and architecture best practices.
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Hands-on experience with ETL/ELT frameworks and tools.
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Familiarity with Snowflake or similar cloud data platforms.
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Good understanding of cloud computing, preferably AWS.
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Knowledge of data pipeline monitoring and alerting systems.
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Exposure to GenAI development or strong interest in learning.
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Curious and passionate about learning new technologies.
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Strong business acumen and ability to understand domain-specific needs.
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Proactive and customer-oriented mindset.
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Excellent team spirit and collaboration skills.
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Fast learner with the ability to adapt to evolving tech landscapes.
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Cross-functional teamwork (internal and with external clients)
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Team leadership experience
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Requirement gathering skills
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Work as an Individual Contributor (IC).
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Understand design/tasks and develop code accordingly.
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Perform mid- to complex-level tasks with minimal supervision.
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Maintain proper documentation.
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Work with minimal guidance from senior resources.
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Bachelor’s or Master’s degree (or equivalent qualification).
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Minimum basic-level AWS certification.
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Snowflake Associate / Core certification.
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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