V
Lead Software Engineer
Job Description
Role: Data Analyst, Exp: 6+ years
Key Responsibilities
Analyze data flows/mappings across various data stores and systematically document all systems/data elements involved
Reverse engineer legacy implementation and create transformation specifications to support migrating data to the modernized platform
Spearhead Data Stewardship and Data Quality standards across all systems and teams
Ability to design data models/data flows for optimal data processing
Collaborate with stakeholders to understand requirements and deliver objective driven business solutions
Provide analysis, insights, and recommendations to support business needs
Stay current with emerging Generative AI technologies, tools, and best practices
Data Analysis: Thorough knowledge and hands on experience designing and analyzing data flow in data pipelines, mapping data across platforms
Hands-on experience creating data transformation specifications clearly defining the rules for implementation team to map data between various data stores
Very good knowledge on commercial data domain, understanding customer data needs and recommending the best view of the data
Hands-on experience with creating data lineage, Ontology, Reference data, data modelling, data transformations etc.
Ability to build/use tools to compare data at both macro and micro levels and derive insights to enable data migration
Very strong SQL querying skills specifically GCP data stores (Big Table, Big Query).
Advantageous to have Mainframe knowledge (to assist in reviewing the data sets we will replace)
Experience with Snowflake is preferable
Experience with Data profiling, analyzing fill rates, and comparing data attributes
Knowledge and experience in frameworks/tools to measure and enforce data quality principles, such as integrity, consistency, accuracy
Ability to report periodic data quality dashboards, derive and report data insights to aid stakeholders in making informed decisions
Proven ability to leverage AI tools simplify and accelerate tasks towards project goals
Strong analytical, problem-solving, communication, and stakeholder management skills
Worked in a completely agile environment and used tools like JIRA, Confluence
Exposure to cloud platforms, IDEs, version control repos like GitHub
API related – JSON, XML, Postman, REST
Key Responsibilities
Analyze data flows/mappings across various data stores and systematically document all systems/data elements involved
Reverse engineer legacy implementation and create transformation specifications to support migrating data to the modernized platform
Spearhead Data Stewardship and Data Quality standards across all systems and teams
Ability to design data models/data flows for optimal data processing
Collaborate with stakeholders to understand requirements and deliver objective driven business solutions
Provide analysis, insights, and recommendations to support business needs
Stay current with emerging Generative AI technologies, tools, and best practices
Data Analysis: Thorough knowledge and hands on experience designing and analyzing data flow in data pipelines, mapping data across platforms
Hands-on experience creating data transformation specifications clearly defining the rules for implementation team to map data between various data stores
Very good knowledge on commercial data domain, understanding customer data needs and recommending the best view of the data
Hands-on experience with creating data lineage, Ontology, Reference data, data modelling, data transformations etc.
Ability to build/use tools to compare data at both macro and micro levels and derive insights to enable data migration
Very strong SQL querying skills specifically GCP data stores (Big Table, Big Query).
Advantageous to have Mainframe knowledge (to assist in reviewing the data sets we will replace)
Experience with Snowflake is preferable
Experience with Data profiling, analyzing fill rates, and comparing data attributes
Knowledge and experience in frameworks/tools to measure and enforce data quality principles, such as integrity, consistency, accuracy
Ability to report periodic data quality dashboards, derive and report data insights to aid stakeholders in making informed decisions
Proven ability to leverage AI tools simplify and accelerate tasks towards project goals
Strong analytical, problem-solving, communication, and stakeholder management skills
Worked in a completely agile environment and used tools like JIRA, Confluence
Exposure to cloud platforms, IDEs, version control repos like GitHub
API related – JSON, XML, Postman, REST
More Info
Key Skills
Big Query
AI tools
Data transformation specifications
Big Table
Cloud platforms
SQL querying
Data quality principles
GCP data stores
About Company
