Gcp data analyst - bigquery Job at Rackspace (Toronto)

Gcp Data Engineer

We at AlgebraIT are looking for a GCP Data Engineer with 3+ years of experience ...

Location

United States , Austin

Salary:

Not provided

AlgebraIT

Expiration Date

Until further notice

Requirements

3+ years of experience in data engineering with GCP
Proficiency in Python, SQL, and GCP services
Experience with data pipeline orchestration tools
Strong problem-solving abilities and attention to detail
Bachelor’s degree in Computer Science or related field

Job Responsibility

Build and maintain scalable data pipelines using GCP tools
Ensure data security and governance
Monitor, troubleshoot, and optimize data workflows
Collaborate with stakeholders to gather requirements and deliver data solutions
Implement data quality checks and best practices
Develop and maintain ETL processes
Create detailed documentation of data processes
Work closely with data analysts and business teams for data alignment
Ensure high availability and reliability of data services
Stay current with GCP data technology advancements

Fulltime

Data Analyst

Location

India , Pune

Salary:

Not provided

Enormous Enterprise

Expiration Date

Until further notice

Requirements

5+ years’ experience in related field preferred
Experience with other tools such as GCP BQ, Alteryx, Tableau required
Experience with data query, visualization, dashboard and/or scorecard tools preferred
Extensive experience performing Analysis and Solutioning
Experience in Big Data systems, Data Lakes and Analytics related field preferred
Hands-on experience in Data Analysis/validation/data mapping and proficient in SQL queries
Experience developing Business/Functional Requirement documentation and facilitating requirement work sessions with Business Units/Clients
Excellent verbal/written communication skills in an internal client facing role with ability to present information and findings clearly in analysis/reports
Can work on complex projects of large scope

Job Responsibility

Scopes, designs, and develops data analytics solutions/models to solve challenging business problems using Google BigQuery, SQL, SAP, Tableau, AtScale, Looker Studio, Alteryx, and other data-centric technologies
Proficiency in data modeling/design and reading/writing/debugging/optimizing advanced SQL queries are firmly required
Knowledge of data visualization, dashboard, reporting, and OLAP/dimensional design tools preferred
Translates complex business requirements into technical requirements, and ultimately into data solutions that enable the business to make fast, effective, data-driven decisions (BigQuery data models/views, AtScale virtual cubes, Tableau dashboards
supports decision-making, metric management, enterprise performance management)
Asks probing questions to understand detailed business processes, requirements, and data architectures
Brings a foundation of data analysis experience and best-practices to discover and anticipate requirements beyond those that are plainly provided Observes patterns in processes and data and implementing end-to-end data driven intelligent processes
Extracts, manipulates, and analyzes varying types of data to find insight with a high degree of accuracy and attention to detail
Integrates analysis and underlying work (e.g., data mapping, transformations, validation) back into preexisting data platforms, with an enterprise mentality beyond any single use case
Applies hypotheses and an understanding of cause-and-effect from the logical analysis of a complex situation

Senior Data Engineer

Adtalem is a data driven organization. The Data Engineering team builds data sol...

Location

United States , Lisle

Salary:

84835.61 - 149076.17 USD / Year

Adtalem Global Education

Expiration Date

Until further notice

Requirements

Bachelor's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field.
Master's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field.
Two (2) plus years experience in Google cloud with services like BigQuery, Composer, GCS, DataStream, Dataflows, BQML, Vertex AI.
Six (6) plus years experience in data engineering solutions such as data platforms, ingestion, data management, or publication/analytics.
Hands-on experience working with real-time, unstructured, and synthetic data.
Experience in Real Time Data ingestion using GCP PubSub, Kafka, Spark or similar.
Expert knowledge on Python programming and SQL.
Experience with cloud platforms (AWS, GCP, Azure) and their data services
Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed.
Familiarity with synthetic data generation and unstructured data processing

Job Responsibility

Architect, develop, and optimize scalable data pipelines handling real-time, unstructured, and synthetic datasets
Collaborate with cross-functional teams, including data scientists, analysts, and product owners, to deliver innovative data solutions that drive business growth.
Design, develop, deploy and support high performance data pipelines both inbound and outbound.
Model data platform by applying the business logic and building objects in the semantic layer of the data platform.
Leverage streaming technologies and cloud platforms to enable real-time data processing and analytics
Optimize data pipelines for performance, scalability, and reliability.
Implement CI/CD pipelines to ensure continuous deployment and delivery of our data products.
Ensure quality of critical data elements, prepare data quality remediation plans and collaborate with business and system owners to fix the quality issues at its root.
Document the design and support strategy of the data pipelines
Capture, store and socialize data lineage and operational metadata

What we offer

Health, dental, vision, life and disability insurance
401k Retirement Program + 6% employer match
Participation in Adtalem’s Flexible Time Off (FTO) Policy
12 Paid Holidays
Eligible to participate in an annual incentive program

Fulltime