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Snowflake Mattillion

Remote: 
Full Remote
Experience: 
Senior (5-10 years)
Work from: 
Canada

Offer summary

Qualifications:

Bachelor's in mathematics or Computer Science, 7+ years in ETL/Data transformation projects, Advanced SQL knowledge and experience with relational databases, Good to have experience with Matillion ELT tool.

Key responsabilities:

  • Analyze and interpret complex data sets
  • Collaborate with Data Leads and Analysts to validate requirements
NexTurn logo
NexTurn https://nexturn.com/
201 - 500 Employees
About NexTurn
NexTurn is a next-generation engineering services firm specialized in providing cloud native solutions. We help clients accelerate their innovation & digital transformation journey by unlocking full value of cloud. We are a team of passionate technologists with strong experience in architecting, developing, deploying, and operating large scale modern applications & infrastructure in a hybrid multi-cloud environment. Our consultants/architects are high performing engineering talent with integrated full stack competencies, have strong technology transformation experience and operate with a product-centric mindset. NexTurn enables clients navigate the paradigm shift in digital engineering with Cloud-First solutions. Our services are aligned with Client’s digital transformation journey covering setting up strong cloud foundation & Security practices, Cloud Native Engineering and Data Engineering. Also, our platforms driven approach across the engineering lifecycle accelerates experimentation, creates new value, and drives intelligent automation.
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Job description

We are looking for a Senior Data Engineer to expedite our Data Platform Stack to support our developers, database architects, data analysts on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects in a dynamic environment.

Primary Duties And Responsibilities

  • Analyze and interpret complex data sets. Ability to identify data anomalies and resolve data issues
  • Understand specific business processes and domain concepts and relate them to data subject domains
  • Collaborate with Data Leads, Data Analysts and QA analysts to validate requirements, participate in user requirement sessions
  • Perform tests and validate data flows and prepare ETL processes according to business requirements
  • Perform ETL tuning and SQL tuning
  • Ability to document data flows representing business logic in ETL routines
  • Design and implement data conversion strategy from legacy to new platforms
  • Perform design validation, reconciliation, and error handling in data load processes
  • Design and prepare technical specifications and guidelines including ER diagrams and related documents

Qualifications

  • Must be well versed with Data warehousing concepts including design patterns (Star schemas, Snowflake design schemas). Must be aware of data modeling concepts including the data modeling Normal forms
  • Knowledge of AWS Infrastructure including S3, SNS, Ec2, CloudWatch and RDS
  • 7+ years working in ETL/Data transformation projects with one or more related products such as Informatica or Talend or Microsoft SSIS
  • 7+ years working in business intelligence, data warehousing initiatives
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases like Oracle or Ms Sql Server or Vertica.
  • Good to have at least 1+ years working with Matillion ELT tool and Snowflake Database
  • Good to have experience in building AWS Data Pipelines using Python or Spark, SparkSQL in any of Cloud Environments (AWS / Azure / Google).
  • Good to have – Experience with any of the NoSQL datastores such as ElasticSearch, MongoDB, DynamoDB, Cassandra

Education/Experience

Bachelor’s in mathematics, Computer Science or related technical field. Post graduate degree preferred. Minimum 5 years of relevant experience.

Location: Remote first job, but where the client mandates Work From Office, Candidate needs to relocate.

Kindly Submit Your Resume

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Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

Data WarehousingETL (Extract Transform Load)SQL (Programming Language)Data ModelingSparkrBusiness IntelligenceMatillionTalendInformaticaSnowflake (Data Warehouse)Python (Programming Language)NoSQLRelational DatabasesAmazon Web ServicesApache SparkApache CassandraAmazon DynamoDBMongoDBElasticsearchAmazon Data Pipeline

Other Skills

  • Collaboration
  • Problem Solving
Are you interested?

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