08 Oct
|
Dentsu Global Services
|
Bengaluru
08 Oct
Dentsu Global Services
Bengaluru
Required Details
Total exp : 4 to 6 years
Skills : SQL, Python, AWS, Snowflake, React
Notice Period : Immediate to 30 Days
Job Location : Bangalore, Mumbai, Pune, Gurgaon
Qualifications
Bachelor’s degree in
Computer Science, Information Technology, Software Engineering, Data Science, or a related technical field
.
4+ years of experience in Software Development, Data Engineering, or Data Platform Development.
Solid proficiency in
Python, SQL, and Snowflake
development.
Hands-on experience designing and implementing
ETL/ELT pipelines
, Data Warehouses, and Data Lakes.
Experience building up-to-date web applications using
React.js
and JavaScript/TypeScript.
Working knowledge of
Generative AI, LLMs, RAG architectures, AI agents, and AI-powered application development
.
Experience with
Snowflake Tasks, Streams, Stored Procedures, Snowpark, and Dynamic Tables
.
Strong understanding of
Data Modeling, Data Governance, and Data Quality
principles.
Experience with
Git, CI/CD pipelines, Agile/Scrum methodologies
,
and automated testing frameworks.
Exposure to cloud platforms such as
AWS
, including services like S3, Lambda, Glue, ECS, or Bedrock.
Excellent analytical, problem-solving, and stakeholder management skills.
Strong verbal and written communication skills with the ability to work effectively across cross-functional teams.
Key Responsibilities
Design, develop, and maintain scalable data engineering solutions using Python, SQL, and Snowflake.
Build and optimize ETL/ELT pipelines for processing large-scale structured and unstructured datasets.
Develop contemporary web applications and data-driven interfaces using React.
Leverage AI/ML technologies, including Generative AI and LLM integrations, to solve business problems and improve operational efficiency.
Work within Agile development teams, actively participating in sprint planning, stand-ups, retrospectives, and code reviews.
Design and implement Snowflake data architectures, including
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