Data Engineer (Python + Snowflake) Job at Wissen (Bangalore South)

Sr. Data Engineer - Snowflake

Data Ideology is seeking a Sr. Snowflake Data Engineer to join our growing team ...

Location

Salary:

Not provided

Data Ideology

Expiration Date

Until further notice

Requirements

7+ years of experience in data engineering, data warehousing, or data architecture
3+ years of hands-on Snowflake experience (performance tuning, data sharing, Snowpark, Snowpipe, etc.)
Strong SQL and Python skills, with production experience using dbt
Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data tooling (Airflow, Fivetran, Power BI, Looker, Informatica, etc.)
Prior experience in a consulting or client-facing delivery role
Excellent communication skills, with the ability to collaborate across technical and business stakeholders
SnowPro Core Certification required (or willingness to obtain upon hire)
advanced Snowflake certifications preferred

Job Responsibility

Design and build scalable, secure, and cost-effective data solutions in Snowflake
Develop and optimize data pipelines using tools such as dbt, Python, CloverDX, and cloud-native services
Participate in discovery sessions with clients to gather requirements and translate them into solution designs and project plans
Collaborate with engagement managers and account teams to help scope work and provide technical input for Statements of Work (SOWs)
Serve as a Snowflake subject matter expert, guiding best practices in performance tuning, cost optimization, access control, and workload management
Lead modernization and migration initiatives to move clients from legacy systems into Snowflake
Integrate Snowflake with BI tools, governance platforms, and AI/ML frameworks
Contribute to internal accelerators, frameworks, and proofs of concept
Mentor junior engineers and support knowledge sharing across the team

What we offer

Flexible Time Off Policy
Eligibility for Health Benefits
Retirement Plan with Company Match
Training and Certification Reimbursement
Utilization Based Incentive Program
Commission Incentive Program
Referral Bonuses
Work from Home

Fulltime

Senior Data Engineer – Data Engineering & AI Platforms

We are looking for a highly skilled Senior Data Engineer (L2) who can design, bu...

Location

India , Chennai, Madurai, Coimbatore

Salary:

Not provided

OptiSol Business Solutions

Expiration Date

Until further notice

Requirements

Strong hands-on expertise in cloud ecosystems (Azure / AWS / GCP)
Excellent Python programming skills with data engineering libraries and frameworks
Advanced SQL capabilities including window functions, CTEs, and performance tuning
Solid understanding of distributed processing using Spark/PySpark
Experience designing and implementing scalable ETL/ELT workflows
Good understanding of data modeling concepts (dimensional, star, snowflake)
Familiarity with GenAI/LLM-based integration for data workflows
Experience working with Git, CI/CD, and Agile delivery frameworks
Strong communication skills for interacting with clients, stakeholders, and internal teams

Job Responsibility

Design, build, and maintain scalable ETL/ELT pipelines across cloud and big data platforms
Contribute to architectural discussions by translating business needs into data solutions spanning ingestion, transformation, and consumption layers
Work closely with solutioning and pre-sales teams for technical evaluations and client-facing discussions
Lead squads of L0/L1 engineers—ensuring delivery quality, mentoring, and guiding career growth
Develop cloud-native data engineering solutions using Python, SQL, PySpark, and modern data frameworks
Ensure data reliability, performance, and maintainability across the pipeline lifecycle—from development to deployment
Support long-term ODC/T&M projects by demonstrating expertise during technical discussions and interviews
Integrate emerging GenAI tools where applicable to enhance data enrichment, automation, and transformations

What we offer

Opportunity to work at the intersection of Data Engineering, Cloud, and Generative AI
Hands-on exposure to modern data stacks and emerging AI technologies
Collaboration with experts across Data, AI/ML, and cloud practices
Access to structured learning, certifications, and leadership mentoring
Competitive compensation with fast-track career growth and visibility

Fulltime

Data Engineer – Snowflake & ETL

We are seeking a Data Engineer in Hyderabad (WFO) with expertise in data enginee...

Location

India , Hyderabad

Salary:

Not provided

Right Angle Solutions

Expiration Date

Until further notice

Requirements

Minimum 5+ years of experience in data engineering, ETL, and Snowflake development
Proven expertise in Snowflake including SQL scripting, performance tuning, and data warehousing concepts
Hands-on experience with Matillion ETL for building and maintaining ETL jobs
Strong understanding of cloud platforms (AWS, Azure, or GCP) and cloud-based data architectures
Proficiency in SQL, Python, or other scripting languages for automation and data transformation
Experience with API integrations and data ingestion frameworks
Knowledge of data governance, security policies, and access control within Snowflake environments
Excellent communication skills with the ability to engage both business and technical stakeholders
Self-motivated professional capable of working independently and delivering projects on time
Qualification: BE/BS/MTech/MS or equivalent work experience

Fulltime

Snowflake Solutions Engineer

We are seeking an innovative Snowflake Solutions Engineer to join our growing IT...

Location

United States , Easton

Salary:

Not provided

Victaulic

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Information Systems, Data Engineering, Data Science or related technical field
At least 2 years of recent hands-on experience with Snowflake platform including advanced features
Minimum 3 years of experience in data engineering or solutions architecture roles
7-10 years of experience in Data Architecture/Engineering and/or BI in a multi-dimensional environment
Proven track record of developing data applications or analytical solutions for business users
Snowflake Expertise: Advanced knowledge of Snowflake architecture including data warehousing, data lakes, and emerging lakehouse features
Security and Governance: Deep understanding of RBAC, row-level security, data masking, and Snowflake security best practices
DevOps and CI/CD: Strong experience with GitHub, SnowDDL, automated deployment pipelines, and infrastructure as code
Application Development: Proficiency with Snowflake Streamlit for building interactive data applications
SQL Proficiency: Expert-level SQL skills with experience in complex analytical queries and optimization

Job Responsibility

Snowflake Native Application Development (30%): Design and develop interactive data applications using Snowflake Streamlit for self-service analytics and operational workflows that enable business users to interact with data through intuitive interfaces
Create reusable application frameworks and component libraries for rapid solution delivery
Integrate Snowflake Native Apps and third-party marketplace applications to extend platform capabilities
Develop custom UDFs and stored procedures to support advanced application logic and business rules
Data Architecture and Modern Platform Design (30%): Design and implement modern data architecture solutions spanning data warehousing, data lakes, and lakehouse patterns
Implement and maintain medallion architecture (bronze-silver-gold) patterns for data quality and governance
Evaluate and recommend architecture patterns for diverse use cases including structured analytics, semi-structured data processing, and AI/ML workloads
Establish best practices for data organization, storage optimization, and query performance across different data architecture patterns
AI Support and Advanced Analytics Collaboration (15%): Support AI and data science teams with Snowflake platform capabilities and best practices
Collaborate on implementing Snowflake Cortex AI features for business use cases

Fulltime

Senior Data Engineer

Senior Data Engineer role driving Circle K's cloud-first strategy to unlock the ...

Location

India , Gurugram

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Engineering, Computer Science or related discipline
Master's Degree preferred
5+ years of ETL design, development, and performance tuning using ETL tools such as SSIS/ADF in a multi-dimensional Data Warehousing environment
5+ years of experience with setting up and operating data pipelines using Python or SQL
5+ years of advanced SQL Programming: PL/SQL, T-SQL
5+ years of experience working with Snowflake, including Snowflake SQL, data modeling, and performance optimization
Strong hands-on experience with cloud data platforms such as Azure Synapse and Snowflake for building data pipelines and analytics workloads
5+ years of strong and extensive hands-on experience in Azure, preferably data heavy / analytics applications leveraging relational and NoSQL databases, Data Warehouse and Big Data
5+ years of experience with Azure Data Factory, Azure Synapse Analytics, Azure Analysis Services, Azure Databricks, Blob Storage, Databricks/Spark, Azure SQL DW/Synapse, and Azure functions
5+ years of experience in defining and enabling data quality standards for auditing, and monitoring

Job Responsibility

Collaborate with business stakeholders and other technical team members to acquire and migrate data sources
Determine solutions that are best suited to develop a pipeline for a particular data source
Develop data flow pipelines to extract, transform, and load data from various data sources
Efficient in ETL/ELT development using Azure cloud services and Snowflake
Work with modern data platforms including Snowflake to develop, test, and operationalize data pipelines
Provide clear documentation for delivered solutions and processes
Identify and implement internal process improvements for data management
Stay current with and adopt new tools and applications
Build cross-platform data strategy to aggregate multiple sources
Proactive in stakeholder communication, mentor/guide junior resources

Fulltime

Data Engineer III

As a Data Engineer, you will play a key role in designing, developing, and maint...

Location

India , Chennai

Salary:

Not provided

Arcadia

Expiration Date

Until further notice

Requirements

3+ years as a Data Engineer, data-adjacent Software Engineer, or a did-everything small data team member with a focus on building and maintaining data pipelines
Strong Python skills, especially in the context of data orchestration
Strong understanding of database management and design, including experience with Snowflake or an equivalent platform
Proficiency in SQL
Familiarity with data integration patterns, ETL/ELT processes, and data warehousing concepts
Experience with Argo, Prefect, Airflow, or similar data orchestration tools
Excellent problem-solving and analytical skills with a strong attention to detail
Ability to bring a customer-oriented and empathetic approach to understanding how data is used to drive the business
Strong communication skills

Job Responsibility

Design, develop, and maintain scalable and efficient data pipelines in an AWS environment, centered on our Snowflake instance and using Fivetran, Prefect, Argo, and dbt
Collaborate with business analysts, analytics engineers, and software engineers to understand data requirements and deliver reliable solutions
Design, build and maintain tooling that enables users and services to interact with our data platform, including CI/CD pipelines for our data lakehouse, unit/integration/validation testing frameworks for our data pipelines, and command-line tools for ad-hoc data evaluation
Identify and implement best practices for data ingestion, transformation, and storage to ensure data integrity and accuracy
Optimize and tune data pipelines for improved performance, scalability, and reliability
Monitor data pipelines and proactively address any issues or bottlenecks to ensure uninterrupted data flow
Develop and maintain documentation for data pipelines, ensuring knowledge sharing and smooth onboarding of new team members
Implement data governance and security measures to ensure compliance with industry standards and regulations
Keep up to date with emerging technologies and trends in data engineering and recommend their adoption as appropriate

What we offer

Competitive compensation based on market standards
Flexible Leave Policy
Office is in the heart of the city in case you need to step in for any purpose
Medical Insurance (1+5 Family Members)
We provide comprehensive coverage including accident policy and life Insurance
Annual performance cycle
Quarterly team engagement activities and rewards & recognitions
L&D programs to foster professional growth
A supportive engineering culture that values diversity, empathy, teamwork, trust, and efficiency

Fulltime

Senior Data Engineer

We are looking for a Senior Data Engineer to join one of the best team at Sigma ...

Location

Salary:

Not provided

Sigma Software Group

Expiration Date

Until further notice

Requirements

Python / strong
SQL / strong
Snowflake / good
English / strong

What we offer

Diversity of Domains & Businesses
Variety of technology
Health & Legal support
Active professional community
Continuous education and growing
Flexible schedule
Remote work
Outstanding offices (if you choose it)
Sports and community activities

Sr Data Engineer

(Locals or Nearby resources only). You will work with technologies that include ...

Location

United States , Glendale

Salary:

Not provided

Enormous Enterprise

Expiration Date

Until further notice

Requirements

7+ years of data engineering experience developing large data pipelines
Proficiency in at least one major programming language (e.g. Python, Java, Scala)
Hands-on production environment experience with distributed processing systems such as Spark
Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines
Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Databricks, Big Query)
Experience in developing APIs with GraphQL
Advance understanding of OLTP vs OLAP environments
Candidates must work W2, no Corp 2 Corp
US Citizen, Green Card Holder, H4-EAD, TN-Visa
Airflow

Job Responsibility

Contribute to maintaining, updating, and expanding existing Core Data platform data pipelines
Build and maintain APIs to expose data to downstream applications
Develop real-time streaming data pipelines
Collaborate with product managers, architects, and other engineers to drive the success of the Core Data platform
Contribute to developing and documenting both internal and external standards and best practices for pipeline configurations, naming conventions, and more
Ensure high operational efficiency and quality of the Core Data platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams)

What we offer

3 levels of medical insurance for you and your family
Dental insurance for you and your family
401k
Overtime
Sick leave policy: accrue 1 hour for every 30 hours worked up to 48 hours

Data Engineer (Python + Snowflake)

Wissen

Location:
India , Bangalore South ▼
Mumbai
Pune

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 05, 2026

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