Matillion Developer Support Job at NTT DATA (Pune)

Director of Technical Support Engineering

The Director of Technical Support Engineering will lead and scale Sigma’s global...

Location

United States , New York City

Salary:

210000.00 - 250000.00 USD / Year

Sigma Computing

Expiration Date

Until further notice

Requirements

Proven experience leading and scaling technical support teams in a high-growth B2B SaaS environment
Ability to use data to improve team operations and drive measurable results
Ability to represent Technical Support’s perspective to executive stakeholders and collaborate across Product, Engineering, and Go-to-Market teams
Strategic mindset and creative problem-solving skills
ability to lead multiple initiatives simultaneously in a fast-paced startup environment
Proficient in enterprise analytics and business intelligence platforms
strong technical acumen across databases, SQL, cloud data warehouses (Snowflake, Redshift, BigQuery), and ETL solutions (Fivetran, Matillion)
Ability to build trust with customers and stakeholders by resolving issues quickly while scaling proactive, automation-driven solutions
Computer Science fundamentals or equivalent technical background
deep domain expertise in databases, data modeling, and business intelligence

Job Responsibility

Lead and mentor a team of exceptional Technical Support Engineers and Support Managers
Develop and execute the vision and strategy for Technical Support Engineering
Partner with the VP of Technical Operations to drive scale, operational rigor, process improvement, and growth
Step directly into technical and operational challenges when needed to resolve critical issues
Leverage support metrics and insights to lead operational improvements
Build and execute hiring, onboarding, and career development plans
Lead large, cross-functional initiatives from planning through delivery
Own and advance support tooling and workflows
Be the voice of Technical Support with Product and Engineering leadership

What we offer

Equity
Generous health benefits
Flexible time off policy
Paid bonding time for all new parents
Traditional and Roth 401k
Commuter and FSA benefits
Lunch Program
Dog friendly office

Fulltime

Director of Technical Support Engineering

The Director of Technical Support Engineering will lead and scale Sigma’s global...

Location

United States , San Francisco

Salary:

210000.00 - 250000.00 USD / Year

Sigma Computing

Expiration Date

Until further notice

Requirements

Proven experience leading and scaling technical support teams in a high-growth B2B SaaS environment
Ability to use data to improve team operations and drive measurable results
Ability to represent Technical Support’s perspective to executive stakeholders and collaborate across Product, Engineering, and Go-to-Market teams
Strategic mindset and creative problem-solving skills with ability to lead multiple initiatives in a fast-paced startup environment
Proficient in enterprise analytics and business intelligence platforms
Strong technical acumen across databases, SQL, cloud data warehouses (Snowflake, Redshift, BigQuery), and ETL solutions (Fivetran, Matillion)
Ability to build trust with customers and stakeholders by resolving issues quickly while scaling proactive, automation-driven solutions
Computer Science fundamentals or equivalent technical background with deep domain expertise in databases, data modeling, and business intelligence

Job Responsibility

Lead and mentor a team of exceptional Technical Support Engineers and Support Managers
Develop and execute the vision and strategy for Technical Support Engineering
Partner with the VP of Technical Operations to drive scale, operational rigor, process improvement, and growth
Step directly into technical and operational challenges when needed to resolve critical issues
Leverage support metrics and insights to lead operational improvements
Build and execute hiring, onboarding, and career development plans
Lead large, cross-functional initiatives from planning through delivery
Own and advance support tooling and workflows
Be the voice of Technical Support with Product and Engineering leadership

What we offer

Equity
Generous health benefits
Flexible time off policy
Paid bonding time for all new parents
Traditional and Roth 401k
Commuter and FSA benefits
Lunch Program
Dog friendly office

Fulltime

Data Engineer

We are seeking an experienced Data Engineer to join the Governance, Risk, and Co...

Location

United States

Salary:

65.00 - 70.00 USD / Hour ▼

GeoLogics

Expiration Date

Until further notice

Requirements

Proven experience as a Data Engineer with a focus on data warehousing, ETL/ELT development, and pipeline design
Strong proficiency in SQL, experience with relational and non-relational databases (e.g., MySQL, PostgreSQL, SQL Server, Snowflake, Databricks)
Experience building APIs and integrating data pipelines with RESTful or GraphQL APIs and implement CI/CD for pipelines and SQL transformations (Git workflows, automated testing, release/version control)
Hands-on experience with ETL/ELT tools and platforms such as Matillion, Informatica, or equivalent
Proficiency in programming languages such as Python or Java for building and optimizing data pipelines
Expertise in cloud platforms (AWS, Google Cloud, Azure) and their data services
Familiarity with BI tools like Power BI and an understanding of how to prepare data for reporting needs
Strong analytical and problem-solving skills with a focus on delivering high-quality, scalable solutions
Excellent communication and collaboration skills for cross-functional teamwork
US Citizens only apply

Job Responsibility

Collaborate with the Business and Data Analysts as well as Front-end and Full Stack AI Developers to understand data requirements and deliver scalable solutions that support large-scale automation initiatives, incorporating AI/ML
Design, develop, and optimize ETL/ELT pipelines to process, model and transform data from raw to curated layers, enabling seamless integration into published layers for BI and advanced analytics
Implement and manage data warehousing solutions using Object storage, Snowflake, Databricks, Matillion, and Informatica
Develop and maintain APIs to facilitate secure and efficient data integration between various IT, Cyber and GRC systems, applications, and data pipelines
Ensure the accuracy, reliability, and scalability of data pipelines and data models
Support the ingestion, integration, and transformation of large datasets to meet IT, Cybersecurity and GRC operational and reporting needs
Partner with stakeholders to understand their data and reporting requirements and provide tailored solutions
Stay informed on the latest advancements in data engineering, warehousing, and integration tools and methodologies

Data Engineer

We are seeking an experienced Data Engineer to join the Governance, Risk, and Co...

Location

United States

Salary:

65.00 - 70.00 USD / Hour ▼

GeoLogics

Expiration Date

Until further notice

Requirements

Proven experience as a Data Engineer with a focus on data warehousing, ETL/ELT development, and pipeline design
Strong proficiency in SQL, experience with relational and non-relational databases (e.g., MySQL, PostgreSQL, SQL Server, Snowflake, Databricks)
Experience building APIs and integrating data pipelines with RESTful or GraphQL APIs and implement CI/CD for pipelines and SQL transformations (Git workflows, automated testing, release/version control)
Hands-on experience with ETL/ELT tools and platforms such as Matillion, Informatica, or equivalent
Proficiency in programming languages such as Python or Java for building and optimizing data pipelines
Expertise in cloud platforms (AWS, Google Cloud, Azure) and their data services
Familiarity with BI tools like Power BI and an understanding of how to prepare data for reporting needs
Strong analytical and problem-solving skills with a focus on delivering high-quality, scalable solutions
Excellent communication and collaboration skills for cross-functional teamwork
US Citizens only apply

Job Responsibility

Collaborate with the Business and Data Analysts as well as Front-end and Full Stack AI Developers to understand data requirements and deliver scalable solutions that support large-scale automation initiatives, incorporating AI/ML
Design, develop, and optimize ETL/ELT pipelines to process, model and transform data from raw to curated layers, enabling seamless integration into published layers for BI and advanced analytics
Implement and manage data warehousing solutions using Object storage, Snowflake, Databricks, Matillion, and Informatica
Develop and maintain APIs to facilitate secure and efficient data integration between various IT, Cyber and GRC systems, applications, and data pipelines
Ensure the accuracy, reliability, and scalability of data pipelines and data models
Support the ingestion, integration, and transformation of large datasets to meet IT, Cybersecurity and GRC operational and reporting needs
Partner with stakeholders to understand their data and reporting requirements and provide tailored solutions
Stay informed on the latest advancements in data engineering, warehousing, and integration tools and methodologies

Full Stack Software Engineer

We’re looking for a Front End Software Engineer with strong React experience, an...

Location

United Kingdom , Manchester

Salary:

44000.00 - 66000.00 GBP / Year

Matillion

Expiration Date

Until further notice

Requirements

Strong React and Typescript experience
Exposure to Java and a good understanding of OOP, programming concepts, and best practices
Experience across the full software development lifecycle, including CI/CD deployment, agile methodologies, and cloud technologies (AWS preferred)
A collaborative, solution-oriented mindset with the ability to work independently, tackle technical challenges, and contribute to cross-functional teams
Curiosity, motivation, and attention to detail, with a passion for data accuracy, integrity, and quality
Strong problem-solving skills, inquisitiveness, and a growth mindset, with the ability to balance the big picture while focusing on details

Job Responsibility

Design, develop, test, and release features for Matillion’s cloud platform using Java (11+, ideally 17) and React, following best practices in code quality, scalability, and security
Collaborate with your team to understand requirements, review code, and deliver solutions that meet business goals
Participate in research, prototyping, and exploring new technologies to drive innovation and improve development processes
Support and maintain production services, participating in monitoring, incident resolution, and on-call rotations as needed
Continuously develop your skills, contribute to knowledge sharing, and help improve team practices, processes, and workflows

What we offer

Company Equity
30 days holiday + bank holidays
5 days paid volunteering leave
Health insurance
Life Insurance
Pension
Access to mental health support

Fulltime

Senior Data Platform Consultant

As Snap continues to scale, we’re delivering increasingly complex and strategic ...

Location

India , Pune

Salary:

Not provided

Snap Analytics

Expiration Date

Until further notice

Requirements

Significant professional experience in cloud data engineering for analytics
Strong experience in cloud data warehousing (ideally Snowflake or Databricks), SQL, and cloud ETL tools such as dbt, Matillion, Fivetran, etc.
Experience designing, building and implementing dimensional data models and leading technical delivery
Strong communication skills and confidence working directly with client stakeholders
A commercial mindset and ability to align data work with business goals

Job Responsibility

Leading the delivery of data solutions, including data warehouse builds, migrations, and platform modernisation
Managing delivery across projects or workstreams, ensuring high‑quality outcomes for clients
Building strong relationships with client stakeholders and aligning technical solutions with business goals
Anticipating delivery risks, introducing mitigations, and balancing the needs of clients, teams, and timelines
Coaching and mentoring consultants, providing feedback and supporting development through hands‑on guidance
Contributing to internal initiatives and helping shape delivery best practices across the team

Fulltime

Data Engineer

We are looking for a talented Data Engineer to join our team in Grand Rapids, Mi...

Location

United States , Grand Rapids

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

At least 3 years of hands-on experience with Snowflake, including SnowSQL, Snowpipe, Streams, Tasks, and Warehouses
Strong SQL skills with expertise in performance tuning and complex query development
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud
Proficiency in ETL development using tools like dbt, Matillion, or similar technologies
Solid understanding of data modeling techniques, including star schema and dimensional modeling
Experience with scripting languages, particularly Python
Knowledge of data warehousing concepts, data lakes, and modern data architecture patterns
Preferred experience with CI/CD tools like GitHub Actions, Azure DevOps, or Jenkins

Job Responsibility

Design and implement scalable data models, schemas, and tables within Snowflake, including staging, integration, and presentation layers
Develop and optimize data pipelines using Snowflake tools such as Snowpipe, Streams, Tasks, and stored procedures
Ensure data security and access through role-based controls and best practices for data sharing
Build and maintain ETL pipelines leveraging tools like dbt, Matillion, Fivetran, Informatica, or Azure-native solutions
Integrate data from diverse sources such as APIs, IoT devices, and NoSQL databases to create unified datasets
Enhance performance by utilizing clustering, partitioning, caching, and efficient warehouse sizing strategies
Collaborate with cloud technologies such as AWS, Azure, or Google Cloud to support Snowflake infrastructure and operations
Implement automated workflows and CI/CD processes for seamless deployment of data solutions
Maintain high standards for data accuracy, completeness, and reliability while supporting governance and documentation
Work closely with analytics, reporting, and business teams to troubleshoot issues and deliver scalable solutions

What we offer

medical
vision
dental
life and disability insurance
company 401(k) plan

Lead Data Engineer

The Data Engineer reports to the Director of Data and Analytics and plays a crit...

Location

Canada , Saint-Laurent

Salary:

Not provided

Psycho Bunny

Expiration Date

Until further notice

Requirements

6 to 8 years of experience in a related field
Diploma in Computer Science, Data Engineering, or a related field
Extensive experience with Snowflake, including Snowflake-specific capabilities like virtual warehouses, zero-copy cloning, and Snowpipe
Proficiency in Python, SQL, and Java or Scala for large-scale data processing
Hands-on experience with Kafka, Spark, or similar tools for streaming and batch processing
Advanced knowledge of AWS, Azure, or GCP
experience with integrating Snowflake into cloud ecosystems such AWS
Data Integration: Proficiency with ETL/ELT tools like Fivetran, Matillion, or Informatica
Strong project management skills to deliver on complex, multi-stakeholder data projects
Excellent communication skills to collaborate with both technical and non-technical stakeholders

Job Responsibility

Partner with business unit leaders to understand all data needs and requirements, ensuring alignment with business objectives
Design, develop, and maintain reliable data pipelines that efficiently process large volumes of data according to evolving business needs
Implement systems and practices to ensure data is accessible and usable for business intelligence tools, data analytics teams, and other stakeholders
Manage the loading and transformation of data through both technical processes and business logic
Produce strategic data that adds value and contributes to the organization’s growth and competitiveness
Establish and enforce data quality standards, methodologies, and systems to ensure data accuracy and reliability
Monitor data ingestion and processing, resolving any discrepancies and ensuring smooth data flows
Collaborate with data source providers, Psycho Bunny vendors and internal stakeholders to address data quality issues effectively
Catalog and document the data sources needed to implement self-service analytics across the organization
Process Improvement: Continually improve ongoing reporting and analysis processes and practices to enhance data quality and efficiency

What we offer

Sweet discount on the coolest fits
Room to grow in a rapidly expanding brand
Surrounded by smart and passionate people
A group RRSP/DPSP plan, which includes a very generous match from Psycho Bunny!
On-site gym and on-site cafeteria / bistro with subsidized meals, including breakfast and lunch
Three (3) weeks of vacation
Six (6) wellness days and your birthday off, on us

Fulltime

Matillion Developer Support

NTT DATA

Location:
India , Pune

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 18, 2026

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