Snowflake Python Developer Job at Dutech Systems (Austin)

Power Bi & Snowflake Developer / Data Analytics Engineer - Developer

We are looking for an experienced Power BI & Snowflake Expert with strong hands-...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

3 to 5 years of experience in BI, data analytics, or data engineering roles
Power BI: Dashboard and report development, DAX, Power Query, Data modeling, Performance optimization
Snowflake: Data warehousing concepts, SQL development, Query optimization, Schema design, Snowflake objects such as databases, schemas, tables, views, stages, tasks, streams, and stored procedures
Python: Data manipulation, Automation, Scripting, Data validation
Good understanding of BI best practices, data visualization standards, and dashboard usability
Strong communication and stakeholder management skills
Must have Good Communication
Must be ready to work in 10:30 AM to 8:30 PM Shift
Flexible to work in Client Location EGL/Manyata, Bangalore
Must be ready to work from office in a Hybrid work environment

Job Responsibility

Design, develop, and maintain interactive dashboards and reports using Power BI
Build and optimize data models, DAX calculations, measures, and Power Query transformations
Work extensively with Snowflake for data warehousing, data modeling, performance tuning, and query optimization
Write efficient SQL queries, stored procedures, and scripts for data extraction, transformation, and analysis
Use Python for data processing, automation, validation, and analytics use cases

Fulltime

Power BI & Snowflake Developer / Data Analytics Engineer - Developer

We are looking for an experienced Power BI & Snowflake Expert with strong hands-...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

6 to 8 years of experience in BI, data analytics, or data engineering roles
Power BI: Dashboard and report development, DAX, Power Query, Data modeling, Performance optimization
Snowflake: Data warehousing concepts, SQL development, Query optimization, Schema design, Snowflake objects such as databases, schemas, tables, views, stages, tasks, streams, and stored procedures
Python: Data manipulation, Automation, Scripting, Data validation
Good understanding of BI best practices, data visualization standards, and dashboard usability
Strong communication and stakeholder management skills
Must have Good Communication
Must be ready to work in 10:30 AM to 8:30 PM Shift
Flexible to work in Client Location EGL/Manyata, Bangalore
Must be ready to work from office in a Hybrid work environment

Job Responsibility

Design, develop, and maintain interactive dashboards and reports using Power BI
Build and optimize data models, DAX calculations, measures, and Power Query transformations
Work extensively with Snowflake for data warehousing, data modeling, performance tuning, and query optimization
Write efficient SQL queries, stored procedures, and scripts for data extraction, transformation, and analysis
Use Python for data processing, automation, validation, and analytics use cases

Fulltime

Snowflake Developer

Senior Data Engineer Role: Snowflake Developer + Migration Execution Location:...

Location

India , Pune

Salary:

Not provided

Tech Mahindra

Expiration Date

July 14, 2026

Requirements

Strong proficiency in SQL, Python, PySpark, Apache Spark
Hands on experience with Databricks (Delta, DLT, Autoloader, Unity Catalog) and/or Snowflake (Snowpark, Snowpipe, Streams, Tasks)
Experience with AWS services S3, Redshift, Athena, Glue, EMR, Lambda
Hands on with Apache Airflow DAG development
Experience with GitLab for version control and CI/CD
Strong SQL performance tuning and optimization skills
Experience with data quality validation and reconciliation

Job Responsibility

Execute automated Lift & Shift migrations schema mapping, Iceberg table creation, pipeline generation for Bronze/Silver tables
Develop and refactor ETL/ELT pipelines decompose monolithic PSQL/Glue jobs into modular PySpark/Snowpark patterns
Review, validate, and refine AI assisted code conversions (PySpark/Snowpark)
label AI generated lines in code comments per EchoStar Addendum
Configure and execute dual run validation scripts row count, hash based integrity, business rule comparisons
Rationalize schemas, naming conventions, and lineage for AI Factory consumption patterns and Unity Catalog / Horizon Catalog governance
Develop and deploy Airflow DAGs replacing Control M orchestration
Produce before/after metrics (complexity, runtime, cost) for Technical Debt Remediation Log
Create operations runbooks, SOPs, and procedural guides for each migrated workload
Support EchoStar FTE shadowing and reverse shadowing during KT phases

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

Python Developer

Our client, a technology solutions provider company located in San Francisco, CA...

Location

United States , San Francisco

Salary:

140000.00 - 175000.00 USD / Year

ClearBridge Technology Group

Expiration Date

Until further notice

Requirements

5+ years of Python Development experience. Including previous production deployment and environment management experience.
5+ years of integrating Python with data sources including Snowflake, SQL Server, and Rest API’s.
4+ years of experience building dashboards and visualizations with Plotly and Dash.
Bachelor’s Degree in Computer Science or related field.

Job Responsibility

Developing Python based solutions in the Financial services/investment industry.

What we offer

Excellent benefits and compensation packages.

Fulltime

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

Senior Python Developer

We’re building high‑performance APIs and microservices that connect data platfor...

Location

Argentina

Salary:

Not provided

Solvd Inc.

Expiration Date

Until further notice

Requirements

8+ years of hands‑on software engineering
Strong Python backend experience
Strong API development (design + build)
Strong microservices experience
Advanced AWS
Expert SQL, especially MySQL
Experience working with enterprise‑level, high‑traffic APIs
Ability to build scalable and low‑latency services
Senior‑level ownership: independent, proactive, able to understand context and drive work without supervision

Job Responsibility

Design and develop Python-based APIs and microservices to support customer profile lookups, identity resolution and profile stitching, intent scoring and next-best-action decisioning
Build low-latency, high-availability services to support in-session routing across business units
Integrate APIs with: Data platforms (e.g., Snowflake), Middleware/data layer, Analytics and event pipelines (e.g., Segment)
Implement caching, throttling, and fail-safe mechanisms to ensure performance and resilience
Ensure APIs are secure, scalable, and compliant with consent and privacy requirements
Collaborate closely with data engineers, architects, analysts, and product teams
Support deployment across DEV, QA, STAGE, and PROD environments
Contribute to logging, monitoring, and observability for production readiness

What we offer

Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation
Be part of a global team with equal opportunities for collaboration across continents and cultures
Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards

Fulltime

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

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Snowflake Python Developer

Job Description

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