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

Data Engineer (Python & Snowflake)

We are looking for an experienced Data Engineer (Python & Snowflake) to design, ...

Location

India , Bangalore South; Mumbai; Pune

Salary:

Not provided

Wissen

Expiration Date

Until further notice

Requirements

Strong hands-on experience with Snowflake architecture, including Snowpipe, Tasks, Streams, and storage vs. compute concepts
High proficiency in SQL/SnowSQL, including complex joins, CTEs, window functions, and query optimization
Strong experience with Python for data processing, automation, and API integrations
Experience with orchestration tools such as Airflow, Prefect, or Dagster
Proficiency with dbt for SQL transformations and data modeling
Strong understanding of AWS cloud services (S3, IAM, Lambda) and integration with Snowflake
Experience using Git and CI/CD pipelines
Strong analytical and problem-solving abilities

Job Responsibility

Design and develop end-to-end ETL/ELT data pipelines to ingest data from APIs, S3, and relational databases into Snowflake
Build and optimize data models (Star/Snowflake schemas) for reporting and analytics use cases
Leverage Python for data transformation, automation, and custom workflow development
Improve Snowflake performance using clustering, partitioning, query optimization, and warehouse tuning
Implement data quality, validation rules, and governance controls (including RBAC)
Collaborate with Data Scientists, Analysts, and cross-functional teams to deliver scalable data solutions
Manage workflow orchestration using tools such as Airflow, Prefect, or Dagster
Implement modular SQL transformations using dbt (data build tool)
Integrate Snowflake with AWS services such as S3, IAM, Lambda, etc.

Fulltime

Sr. Python Engineer in Data- Snowflake

Responsible for planning and designing new software and web applications. Analyz...

Location

United States , Chicago; Englewood

Salary:

129515.93 - 203525.03 USD / Year

Comcast Advertising

Expiration Date

Until further notice

Requirements

Bachelor's Degree
7-10 Years of relevant work experience
Expertise in engineering methodologies, concepts and skills
Expertise in process design and redesign skills
Skills in Java
Python (Programming Language)
Go Programming Language

Job Responsibility

Collaborates with project stakeholders to identify product and technical requirements
Designs new software and web applications, supports applications under development and customizes current applications
Trains junior Software Development Engineers
Oversees the researching, writing and editing of documentation and technical requirements
Keeps current with technological developments within the industry
Provides technical leadership throughout the design process
Assists in tracking and evaluating performance metrics
Works with Quality Assurance team to determine if applications fit specification
Presents and defends architectural, design and technical choices to internal audiences

What we offer

Paid Time off
Physical Wellbeing benefits
Financial Wellbeing benefits
Emotional Wellbeing benefits
Life Events + Family Support benefits

Fulltime

Data Engineer - Python AND Kafka AND (Hadoop OR HDFS OR Hive) AND Snowflake AND apache AND (iceberg

The Data Engineer role at NTT DATA requires a Bachelor’s or Master’s degree in C...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, Engineering, or a related quantitative field
5–7 years of professional hands-on coding experience in collaborative, team-based environments
strong troubleshooting skills in SQL and scripting
proficiency in Python or Java
deep familiarity with SDLC, CI/CD best practices, and Kubernetes deployment
expertise in temporal data modeling (e.g., SCD Type 2)
schema management with a focus on schema evolution (Iceberg Apache)
performance optimization through data partitioning and clustering
architectural theory involving normalization/denormalization and natural vs. surrogate keys
experience with Python

Job Responsibility

Designing and implementing data solutions
optimizing performance
collaborating within a team

Fulltime

Data Engineer - Python AND Kafka AND (Hadoop OR HDFS OR Hive) AND Snowflake AND apache AND (iceberg

The Data Engineer will play a crucial role in migrating data from on-prem DataLa...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Applied Mathematics, Engineering, or a related quantitative field
Minimum of 3-5 years of professional hands-on-keyboard coding experience in a collaborative, team-based environment
Ability to troubleshoot SQL and basic scripting experience
Professional proficiency in Python or Java
Deep familiarity with the full Software Development Life Cycle (SDLC) and CI/CD best practices
K8s deployment experience
Sophisticated understanding of Temporal Data Modeling, Schema Management, Performance Optimization, and Architectural Theory
Experience with Kafka, ANSI SQL, FTP, Apache Spark
Experience with JSON, Avro, Parquet
Experience with Hadoop (HDFS/Hive), Snowflake, Apache Iceberg, Sybase IQ

Job Responsibility

Perform end-to-end datastore migration from on-prem DataLake to AWS hosted LakeHouse
Pipeline Migration - Refactoring and migrating extraction logic and job scheduling from legacy frameworks to the new Lakehouse environment
Data Transfer - Executing the physical migration of underlying datasets while ensuring data integrity
Stakeholder Engagement - Acting as a technical liaison to internal clients, facilitating handoff and sign-off conversations with data owners to ensure migrated assets meet business requirements
Consumption Pattern Migration - Translating and optimizing legacy SQL and Spark-based consumption patterns for compatibility with Snowflake and Iceberg
Usage analysis to understand usage patterns and deliver required data products
Data Reconciliation and Quality - Work with reconciliation frameworks to build confidence that migrated data is functionally equivalent to that already used within production flows

Fulltime

Lead Data Engineer (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)

Do you love building and pioneering in the technology space? Do you enjoy solvin...

Location

United States , McLean, Virginia; Chicago, Illinois

Salary:

179400.00 - 225100.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor’s Degree
At least 4 years of experience in application development (Internship experience does not apply)
At least 2 years of experience in big data technologies
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Job Responsibility

Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions using data movement tools and technologies
Work, as a lead developer, with a team of developers with deep experience in data movement, distributed computing, and full stack systems
Utilize programming languages like Python, SQL and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Snowflake, Databricks
Optimize information system for end-user and downstream application consumers by using sound data design practices
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Comprehensive, competitive, and inclusive set of health, financial and other benefits

Fulltime

Snowflake Data Engineer

We are seeking a highly analytical and technically skilled Data Analyst & Engine...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Primary Skillset: Snowflake: 3+ years of deep, hands-on experience with the Snowflake Data Cloud
Advanced SQL and query performance tuning
Data Analysis & Analytics: Proven experience in performing quantitative and qualitative data analysis
Strong ability to translate raw data into actionable business insights
Secondary Skillset: AWS: Solid understanding of core AWS services, particularly: S3
AWS Lambda
Workflow Orchestration: Experience with building and scheduling data pipelines using MWAA (Managed Workflows for Apache Airflow) or a similar tool
Containerization: Familiarity with Docker and Kubernetes (EKS) is a plus
Infrastructure as Code (IaC): Experience with Terraform is highly desirable
Programming: Proficiency in Python for scripting and data manipulation

Job Responsibility

Design, develop, and maintain complex SQL queries, stored procedures, and data models within Snowflake to support analytical requirements
Perform in-depth data analysis to identify trends, patterns, and insights that address key business questions
Ensure data integrity, quality, and accuracy within the Snowflake environment
Support the data engineering team by contributing to the design and maintenance of data pipelines using tools like MWAA, AWS EKS and AWS Lambda
Work within a modern data stack, utilizing Terraform for infrastructure and EKS for containerized applications where necessary

Fulltime

Sr. Data Engineer - Python Developer

Seeking a hands-on Senior Data Engineer (ETL / Python Developer) to support the ...

Location

United States , Springfield

Salary:

52.00 - 54.00 USD / Hour

Myticas Consulting

Expiration Date

Until further notice

Requirements

5+ years of data engineering experience with a focus on enterprise data warehousing
5+ years of hands-on ETL development using Informatica PowerCenter, Azure Data Factory, or similar tools
5+ years of Python development for data engineering and automation
3+ years of experience with Spark-based processing frameworks (Databricks or equivalent)
Strong SQL expertise and experience with relational databases (such as Teradata, Snowflake, Oracle, SQL Server)
Experience with source control and DevOps practices (Azure DevOps, GitHub, CI/CD)
Bachelor's degree or higher in Computer Science, Engineering, Analytics, or a related field
Strong analytical, problem-solving, and troubleshooting skills

Job Responsibility

Design, develop, and maintain enterprise ETL pipelines using Azure Data Factory (ADF), Informatica PowerCenter, and Python-based frameworks
Build and optimize scalable data processing solutions using Python, Spark, and Databricks
Support Medicaid analytics and federal reporting initiatives (e.g., T-MSIS, PERM, MARS, Quality of Care)
Develop robust data validation, reconciliation, and audit-traceable data pipelines
Write and optimize SQL and stored procedures across relational platforms such as Snowflake, Oracle, and SQL Server
Participate in cloud migration and modernization initiatives within Azure-based architectures
Collaborate with analysts, QA, and reporting teams to ensure data quality, accuracy, and timeliness
Follow data engineering best practices for performance, reliability, reusability, and security
Support production operations, incident resolution, and root-cause analysis
Participate in code reviews, source control, and CI/CD processes using Azure DevOps and GitHub

Fulltime

Snowflake Data Engineer

The Snowflake Data Engineer role requires a minimum of 5 years of experience in ...

Location

Romania , Cluj

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

BSc/MSc in Computer Science, Data Engineering, or related field
Snowflake certifications (SnowPro Core, Advanced) highly desirable
Minimum 5–8 years in data engineering, data warehousing, or data architecture roles, with at least 3+ years working with Snowflake
Proven experience in data engineering and pipeline development on Snowflake and cloud-native platforms
Deep expertise with Snowflake features (warehouses, Snowpark, data sharing, performance tuning)
Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent
Strong SQL and Python (or equivalent language) skills for data manipulation and automation
Hands-on experience with cloud platforms (AWS, Azure, GCP)
Knowledge of data modelling methodologies (star schemas, Data Vault, Kimball, Inmon)
Familiarity with data lake architectures and distributed processing frameworks (e.g., Spark, Hadoop)

Job Responsibility

Client Engagement & Delivery: Collaborate with clients to understand data requirements, contribute to solution delivery, and ensure successful project outcomes
Data Pipeline Development: Design, build, and optimise robust, scalable data pipelines to support analytics, reporting, and operational workloads
Snowflake & Cloud Data Platforms: Develop and maintain data solutions on Snowflake and modern cloud ecosystems, ensuring performance, security, and reliability
Data Architecture & Modelling: Implement high‑quality data models and contribute to architectural decisions that support enterprise‑grade data platforms
Collaboration & Best Practices: Work closely with cross‑functional teams to promote engineering best practices, code quality, and continuous improvement
Quality & Governance: Ensure data accuracy, consistency, and compliance through strong testing, documentation, and governance practices
Partner with architects to translate solution designs into high‑quality engineering deliverables
Collaborate with technical teams to support development, troubleshooting, and end‑to‑end data delivery
Client Stakeholders: Engage with client technical leaders
Delivery of high-performing, scalable, and secure data pipelines aligned to client requirements

What we offer

Smooth integration and a supportive mentor
Pick your working style: choose from Remote, Hybrid or Office work opportunities
Our projects have different working hours to suit your needs
Sharpen your tech skills with our sponsored certifications, trainings and top e-learning platforms
Private Health Insurance
Individual coaching sessions
Accredited Coaching School
Epic parties or themed events

Fulltime

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Data Engineer (Python + Snowflake)

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Data Engineer (Python + Snowflake)

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