Hybrid
Full-Time
Bengaluru, Karnataka
India
About the Role
Job Description
Sr Data Engineer (Python) - Bangalore
We are seeking an experienced Senior Data Engineer with a strong background in business intelligence, data engineering, and a passion for turning complex data into valuable insights that drive business decisions. If you are interested in applying AI and have experience in mentoring junior members and collaborating with peers, we invite you to join our Bangalore office as a Senior Data Engineer.
The Opportunity
As a Senior Data Engineer, you'll develop data pipeline solutions that help address business data needs, which require an understanding of the business context and technical skills to create reliable solutions. Beyond data pipelines, this rule must help be a data storyteller and have exposure building and using AI. You'd also mentor junior members and collaborate with peers.
What You'll Do
Engineering
Design, Implement, Maintain:
Structured data models typically in Cloud Databases
Semi-structured data models on storage buckets
Python & SQL for collecting, enriching, cleansing, and other transform data.
Data APIs in Python Flask containers
Leverage AI for analytics and accelerate of development
Data visualizations and dashboards using Tableau.
Optimization solutions for costs and performance
Infrastructure as code (Terraform)
Execute automated deployment processes on Jenkins or GitHub Actions.
Technical Specification
Assist business analysts with collecting stakeholders’ requirements.
Translate business requirements into detailed technical specifications.
Create as-build documentation and run books for operations.
Continuously Learn
Stay updated on the latest technical advancements, especially within GenAI
Recommend changes based on advancements in Data Engineering and AI
Embrace change and collaborate with team members by sharing and learning knowledge
What You'll Bring
Experience:
5+ years of experience in data engineering, with a strong focus on Python programming, data pipeline development, and API design.
Proven experience working with container technologies such as Docker
Hands-on experience leverage AI.
Proficiency in SQL and experience working with various relational and NoSQL databases.
Strong knowledge of data warehousing concepts, ETL processes, and data modeling techniques.
Excellent problem-solving skills, attention to detail, and the ability to work independently and as part of a team.
Experience with cloud-based (AWS, GCP, Azure) data storage and processing platforms
Bonus Skills
GenAI prompt engineer,
Machine Learning (TensorFlow, PyTorch or Similar)
Knowledge of big data technologies
Experience with Pandas, Spacy and NLP libraries
Familiarity with data visualization tools such as Tableau, Power BI, or Looker.
Experience in agile development methodologies
Optimization of data pipeline for costs and performance
Communication
Strong communication and collaboration skills in English, with the ability to work effectively with both technical and non-technical stakeholders.
Experience translating complex ideas into simple examples
Education & Certifications
Bachelor’s degree in computer science, IT, engineering or a related field
Relevant certifications in BI, AI, data engineering, or data visualization tools are highly desirable.
The Location:
This role will be based out of The Leela Office located on the 4th Floor, Airport Road, Kodihalli, Bangalore- 560008. Our expectation at this time, is that you would work HYBRID – work from our office on Tuesdays, Wednesdays, Thursdays with flexibility to work from home on Mondays and Fridays.
Sr Data Engineer (Python) - Bangalore
We are seeking an experienced Senior Data Engineer with a strong background in business intelligence, data engineering, and a passion for turning complex data into valuable insights that drive business decisions. If you are interested in applying AI and have experience in mentoring junior members and collaborating with peers, we invite you to join our Bangalore office as a Senior Data Engineer.
The Opportunity
As a Senior Data Engineer, you'll develop data pipeline solutions that help address business data needs, which require an understanding of the business context and technical skills to create reliable solutions. Beyond data pipelines, this rule must help be a data storyteller and have exposure building and using AI. You'd also mentor junior members and collaborate with peers.
What You'll Do
Engineering
Design, Implement, Maintain:
Structured data models typically in Cloud Databases
Semi-structured data models on storage buckets
Python & SQL for collecting, enriching, cleansing, and other transform data.
Data APIs in Python Flask containers
Leverage AI for analytics and accelerate of development
Data visualizations and dashboards using Tableau.
Optimization solutions for costs and performance
Infrastructure as code (Terraform)
Execute automated deployment processes on Jenkins or GitHub Actions.
Technical Specification
Assist business analysts with collecting stakeholders’ requirements.
Translate business requirements into detailed technical specifications.
Create as-build documentation and run books for operations.
Continuously Learn
Stay updated on the latest technical advancements, especially within GenAI
Recommend changes based on advancements in Data Engineering and AI
Embrace change and collaborate with team members by sharing and learning knowledge
What You'll Bring
Experience:
5+ years of experience in data engineering, with a strong focus on Python programming, data pipeline development, and API design.
Proven experience working with container technologies such as Docker
Hands-on experience leverage AI.
Proficiency in SQL and experience working with various relational and NoSQL databases.
Strong knowledge of data warehousing concepts, ETL processes, and data modeling techniques.
Excellent problem-solving skills, attention to detail, and the ability to work independently and as part of a team.
Experience with cloud-based (AWS, GCP, Azure) data storage and processing platforms
Bonus Skills
GenAI prompt engineer,
Machine Learning (TensorFlow, PyTorch or Similar)
Knowledge of big data technologies
Experience with Pandas, Spacy and NLP libraries
Familiarity with data visualization tools such as Tableau, Power BI, or Looker.
Experience in agile development methodologies
Optimization of data pipeline for costs and performance
Communication
Strong communication and collaboration skills in English, with the ability to work effectively with both technical and non-technical stakeholders.
Experience translating complex ideas into simple examples
Education & Certifications
Bachelor’s degree in computer science, IT, engineering or a related field
Relevant certifications in BI, AI, data engineering, or data visualization tools are highly desirable.
The Location:
This role will be based out of The Leela Office located on the 4th Floor, Airport Road, Kodihalli, Bangalore- 560008. Our expectation at this time, is that you would work HYBRID – work from our office on Tuesdays, Wednesdays, Thursdays with flexibility to work from home on Mondays and Fridays.