Data Specialist - R01569890

Brillio 2
Bangalore +1 more

Who this role is best for

Best suited to mid-level professionals with hands-on experience in IICS and Snowflake, working in data warehousing and analytics environments.

Best fit for

  • Mid-level professionals with 5 to 8 years of hands-on IICS and Snowflake experience
    — “at least 5 to 8 years of experience designing, developing, and maintaining data integration and data warehouse solutions using IICS and Snowflake
  • Candidates who can demonstrate expertise in complex ETL/ELT pipeline development
    — “Develop complex mappings, mapping tasks, taskflows, and reusable components for efficient data movement and transformation
  • Individuals who have experience with Snowflake data warehouse architecture and advanced SQL
    — “Expertise in Snowflake data warehouse architecture and features including warehouses, stages, streams, tasks, time travel, and zero-copy cloning

Things to consider

  • The role requires a significant commitment to maintaining data quality and integrity through transformation and validation processes
    — “Perform data transformation, cleansing, validation, and reconciliation to ensure data quality and integrity
  • Collaboration with business analysts and data architects is a key expectation
    — “Collaborate with business analysts, data architects, QA, and other technical teams to deliver end-to-end data solutions

How to stand out

  • Highlight experience in optimizing IICS and Snowflake workflows for performance
    — “Implement and optimize data integration workflows with IICS Cloud Data Integration (CDI)
  • Showcase your ability to manage complex data loads using SCD and CDC patterns
    — “Design and management of incremental and full data loads including SCD and CDC patterns
  • Emphasize your track record in troubleshooting ETL failures and performance bottlenecks
    — “Troubleshoot ETL failures, data issues, and performance bottlenecks to ensure reliable data operations
  • Demonstrate advanced SQL development and stored procedure optimization skills
    — “Write and optimize advanced SQL queries and Snowflake stored procedures
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Mid Level

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • successful design and development of ETL/ELT pipelines
  • implementation of robust data integration workflows
  • optimization of advanced SQL queries
  • successful data loading strategies
  • troubleshooting of ETL failures
Typical background
experience in data integration and data warehousingbackground in ETL/ELT development

Skills & requirements

Required

IICSSnowflakeEtl/elt PipelinesSQLData WarehousingData IntegrationData TransformationData CleansingData ValidationData ReconciliationData QualityData IntegrityData Loading StrategiesIncremental LoadsCDCSCDData OptimizationData Governance

Preferred

AWSAzureCI/CDDevOpsGitJenkinsAzure DevopsPythonScripting LanguagesAutomationVersion ControlLife SciencesPharmaceutical Industry

Stack & domain

IICSSnowflakeSQLInformatica Intelligent Cloud Services (iics)Cloud Data Integration (cdi)Snowflake Data Warehouse ArchitectureAWSAzureAWS S3Azure Blob StorageCI/CDDevOpsPythonGitJenkinsAzure DevopsLife SciencesPharmaceutical IndustryInformatica Cloud Data Integration

About the role

Original posting from Brillio 2 via Lever

Primary Skills:

IICS,Snowflake,SQL

Job requirements:

Experience Range:

With at least 5 to 8 years of experience designing, developing, and maintaining data integration and data warehouse solutions using IICS and Snowflake.

Key Responsibilities:

  • Design, develop, and maintain ETL/ELT pipelines using Informatica Intelligent Cloud Services (IICS) to support scalable data integration processes
  • Implement and optimize data integration workflows with IICS Cloud Data Integration (CDI), ensuring robust error handling, scheduling, and parameterization
  • Develop complex mappings, mapping tasks, taskflows, and reusable components for efficient data movement and transformation
  • Build and maintain Snowflake data warehouse solutions, including databases, schemas, tables, views, and stages to support business analytics
  • Write and optimize advanced SQL queries and Snowflake stored procedures to enable high-performance data processing and reporting
  • Implement data loading strategies from diverse source systems into Snowflake, including incremental loads, Change Data Capture (CDC), and Slowly Changing Dimensions (SCD) Type 1/Type 2
  • Perform data transformation, cleansing, validation, and reconciliation to ensure data quality and integrity
  • Troubleshoot ETL failures, data issues, and performance bottlenecks to ensure reliable data operations
  • Collaborate with business analysts, data architects, QA, and other technical teams to deliver end-to-end data solutions and support production deployments.

Required Skills:

  • Hands-on experience with Informatica Intelligent Cloud Services (IICS) and Cloud Data Integration (CDI)
  • Expertise in Snowflake data warehouse architecture and features including warehouses, stages, streams, tasks, time travel, and zero-copy cloning
  • Advanced SQL development and query optimization
  • Proficiency in ETL/ELT development and data warehousing concepts
  • Experience developing mappings, mapping tasks, and taskflows in IICS
  • Implementation of parameterization and error handling in ETL pipelines
  • Scheduling and automation of data integration workflows
  • Design and management of incremental and full data loads including SCD and CDC patterns.

 Preferred Skills:

  • Experience with AWS or Azure cloud services for data integration and storage
  • Knowledge of AWS S3 or Azure Blob Storage for data ingestion
  • Familiarity with CI/CD and DevOps practices for ETL pipeline deployment
  • Proficiency in Python or scripting languages for automation
  • Experience with version control and automation tools such as Git, Jenkins, or Azure DevOps 6. Domain experience in Life Sciences or Pharmaceutical industry

Desired Qualifications:

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a closely related discipline
  • Certification in Snowflake or Informatica Cloud Data Integration (preferred)
  • Certification in AWS or Azure cloud platforms (preferred)

Source: Brillio 2 careers (Lever)

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