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Senior Specialist - Data Engineering

  • Toronto, ON, Canada

$100,000 to $120,000 USD / year · Full-time

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Job details

Pay
$100,000 to $120,000 USD / year
Job type
Full-time
Apply by
Experience
Experience 7-11 Years
Posting language
English
Posted

Original job description


Role description

Role Informatica ETL Developer IDMC



Experience 7-11 Years


Location Canada Client location Markham Office


Working model Hybrid 3 days Work From Office 2 days mandatory Tue Wed 1 day flexible any day from Mon Thu Fri


Technical Primary Skills


Design develop and maintain ETL processes to extract transform and load data from various sources Handson experience in Informatica


Proven experience as an ETL Developer Informatica PowerCenter and Informatica BDM


Proven experience as Database Developer hands on experience in writing DDLS and DMLS for relational databases


Experience on automation tools like ControlM ZENA


Experience in writing Unix scripts


Develop and optimize complex SQL queries and stored procedures in PostgreSQL


Document technical specifications and maintain comprehensive documentation of ETL processes and database schemas


Collaborate with business teams to understand data requirements and ensure data integrity and accuracy


Knowledge of data warehousing concepts and best practices


Excellent problemsolving skills and attention to detail


Experience in Agile methodology JIRA


Ability to work both independently and as part of a team


Secondary Skills


Experience in the insurance industry able to understand underwriting data terminology


Informatica Certified Professional ICP or Informatica Foundation Level Certifications IDMC CDCG MDM etc


Good graspexperience with data technology tools such as Snowflake Hadoop


Experience in leveraging lakehouse tool Apache Iceberg


Knowledge of Tagging and catalog datasets using metadata tool Collibra


Exposure of Tableau to present insights from lakehouse data


Experience with database systems eg Oracle Postgres MySQL


Knowledge of data visualization tools eg Qlik Python Power BI SAP BO


Soft Skills


Good communication


Presentation skills


Team player


Strong ability to work with client stakeholders


Qualifying Questions


Do you know the difference between data lake house and data warehouse YesNo


Do you have hands On ETL Experience on Informatica Enterprise ETL YesNo


Do you have experince working on requirement gathering for ETL and data analysis


Have you worked on any of the insurance data domains like policy claims billing finance YesNo

Other details

Vacancy Type: New Vacancy

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree Canada (“LTIMC”):


Benefits and Perks:



  • Comprehensive Medical Plan Covering Medical, Dental, Vision

  • Health Care Spending Account

  • Short Term and Long-Term Disability Coverage

  • Life Insurance

  • Annual vacation and other Paid Leaves

  • Maternity Leave Top Up Pay


The range displayed on each job posting reflects the total compensation range for the position across all Canada locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.



Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.

Accessibility and Reasonable Accommodation:
LTIMindtree has an accommodation process in place and provides accommodations for applicants with disabilities. If you require a specific accommodation because of a disability or a medical need, please write to us at applicantaccommodation.canada@ltimindtree.com so that arrangements can be made for the appropriate accommodations to be in place.
More about this job

Responsibilities

The role involves designing, developing, and maintaining ETL processes to extract, transform, and load data from various sources. The candidate will collaborate with business teams to understand data requirements and ensure data integrity and accuracy.

Requirements

Candidates should have 7-11 years of experience in data engineering, specifically with Informatica ETL tools and database development. Experience in the insurance industry and knowledge of data warehousing concepts are also preferred.

Skills

  • Informatica ETL
  • ETL Development
  • Informatica PowerCenter
  • Informatica BDM
  • Database Development
  • SQL Queries
  • PostgreSQL
  • Unix Scripting
  • Data Warehousing
  • Agile Methodology
  • ControlM
  • ZENA
  • Snowflake
  • Hadoop
  • Apache Iceberg
  • Collibra

Benefits

  • Comprehensive Medical Plan
  • Covering Medical
  • Dental
  • Vision
  • Health Care Spending Account
  • Short Term and Long-Term Disability Coverage
  • Life Insurance
  • Annual Vacation and Other Paid Leaves
  • Maternity Leave Top Up Pay

Visa sponsorship

Not detected in the job text

Categories

  • Technology
  • Data & Analytics
  • Software
  • Consulting
  • Engineering

Keywords

  • Informatica
  • ETL
  • Data Engineering
  • SQL
  • PostgreSQL
  • Unix
  • Agile
  • ControlM
  • ZENA
  • Snowflake
  • Hadoop
  • Apache Iceberg
  • Collibra
  • Tableau
  • Qlik
  • Python
  • Power BI
  • SAP BO
  • Insurance
  • Data Warehousing
  • Data Integrity
  • Data Analysis
  • Documentation
  • Technical Specifications
  • Automation Tools
  • Data Visualization
  • Database Systems
  • DML
  • DDL
  • Metadata

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