DBT Junior Engineer Job at NTT DATA

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

Lead Analytics Engineer

As a Analytics Engineer in the Data Infrastructure Team at Prolific, you'll be a...

Location

United Kingdom

Salary:

Not provided

Prolific

Expiration Date

Until further notice

Requirements

Expertise in dbt & SQL: Deep experience with dbt and SQL to design, build, and maintain scalable data models
Cloud Technology Knowledge: Strong familiarity with cloud platforms like AWS, GCP etc
Data Accuracy Focus: Passion for ensuring high data quality through tests/assertions and robust documentation
Commercial Acumen: Ability to understand business needs and communicate effectively with non-technical stakeholders
Mentorship Ability: Advocate for best practices in logging and data modeling that supports robust and effective analysis, reporting , and experimentation
Collaboration: Skilled at working cross-functionally and translating complex technical concepts into actionable insights for the business
Process-Driven: Proficiency in designing repeatable and scalable workflows for data transformation

Job Responsibility

Building Data Models: Create complex dbt models, custom macros, and reusable packages. Optimise transformations and implement robust testing strategies to ensure data integrity and model performance
Ownership: Monitoring and maintaining dbt workflow jobs, ensuring smooth data refreshes and up-to-date pipelines.You will also be responsible for data models for BI analytics & company level reporting
Ensuring Data Accuracy: Writing tests and assertions to validate data integrity and consistency across models
Documenting and Standardizing: Creating and maintaining thorough documentation of dbt processes to ensure best practices within the BI team
Translating Complex Data Concepts: Acting as a key communicator, translating technical data issues into understandable business terms for stakeholders
Mentoring Team Members: Supporting junior analysts and data engineers, especially in setting up experimentation platforms and data best practices
Collaborating Across Teams: Working closely with the product, engineering, and BI teams to ensure data infrastructure supports evolving business needs

Senior Analytics Engineer II

Articulate is looking for a Sr. Analytics Engineer to join our amazing Data team...

Location

United States

Salary:

137700.00 - 206500.00 USD / Year

Articulate

Expiration Date

Until further notice

Requirements

8+ years of experience in data or analytics roles
At least 5 years in analytics engineering, preferably within a fast-paced tech company or data-driven organization
Expert in end-to-end data workflows, from data collection to analysis and presentation, with most expertise in data modeling
Confident in translating raw data to reusable, business-friendly data models
Proven experience owning and leading the creation of reliable, flexible data models in an enterprise data warehouse
Expertise in SQL (writing and analyzing complex queries)
Expertise in Data Build Tool (dbt)
Expertise in Looker/Tableau (defining data models and measures)
Experience building semantic layers using dbt, Looker, or Snowflake’s semantic tables
Ability to write complex SQL, run ad-hoc data discovery, and build data models

Job Responsibility

Provide flexible, trustworthy data models by transforming data from multiple sources with DBT, testing for quality, deploying to visualization tools such as Looker or Tableau, and publishing documentation
Collaborate directly with stakeholders to define problems and determine requirements for a solution
Set and maintain best practices for data models and processes, including project architecture and QA
Proactively identify gaps or design flaws in our data models, and bring recommendations for how to fix them
Own documentation of our tools and data, both for our team and for external users
Lead discovery on data tools and infrastructure, including setting goals for tooling, continuous analysis of existing tooling, and exploring new tools and features we may adopt
Participate as a technical leader in project planning, helping to create well-defined tasks to address data initiatives
Mentor more junior members of the data team
Represent the data team in some technical architecture and planning conversations
Identify and share data risks and dependencies in these contexts

What we offer

Bonus eligible
Robust suite of benefits

Fulltime

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