Data Lineage developer

A Data Lineage Developer is responsible for creating, implementing, and maintaining data lineage systems. These systems track data from its origin through its lifecycle, providing visibility into data's origins, movements, transformations, and quality. They ensure data integrity and reliability, enabling businesses to make data-driven decisions confidently. This role often involves working with data governance teams to meet regulatory requirements. They also troubleshoot data flow issues, develop data models, and assist in data-related risk assessment. Additionally, they may design and implement tools and methodologies for data lineage, contributing to the overall data management strategy of an organization.

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Data Lineage developer

Hiring a Data Lineage developer is pivotal for businesses dealing with complex data ecosystems. They ensure transparency in data processing, helping to understand where data originates, its movement, transformations, and dependencies. This facilitates regulatory compliance, improves data quality, aids in data risk management, and supports strategic decision-making. Their skills can be instrumental in troubleshooting data-related issues, enhancing data governance, and creating a more efficient data infrastructure. Therefore, having a Data Lineage developer is a strategic investment in maintaining data integrity and optimizing data usage.

Sheetal Reddy

IT/Programming

Data Lineage,

AWS,

Python,

Scala,

SQL,

Tableau,

Apache Hive,

Apache Kafka,

Apache Spark,

Big Data Architects,

HBase,

MapReduce,

Power BI

Nikolay Latkin

IT/Programming

Data Lineage,

cross browser testing,

JavaScript,

Jira,

Postman,

QA,

SQL,

Appium,

Cucumber,

Cypress,

GraphQL,

QA Management,

Automation Testing,

Test Cases,

Test Planning,

Web Application Testing,

QA manual,

Cross-platform development,

Software testing

Amer Farhat

IT/Programming

Data Lineage,

C#,

JavaScript,

QA,

SQL,

TCP IP

Senthil Kumar N

IT/Programming

Data Lineage,

AWS,

CRM,

Confluence,

Requirement Management,

Team Lead,

Web Application Testing,

Requirements Analysis,

Product development,

Product Management

Sergey Federolf

IT/Programming

Data Lineage,

Agile,

Jira,

Project Management,

SQL,

Business Process Modeling,

Confluence,

BPMN,

Business Analysis,

Product Management

Stan Slutsky

IT/Programming

Data Lineage,

Tableau,

HP-UX Administration,

Python,

Computer Science,

SQL query,

AWS,

MS SQL Server,

Big data,

SoapUI,

SQL,

Asm,

unix,

Data Scientists,

QA Management,

Google Cloud Datastore,

Scrum Master,

PL/SQL,

ETL,

CRM,

IBM Db2,

SAS,

J2EE,

IT Service Management,

Ibm websphere,

Toad,

Windows,

BizTalk Server,

AIX,

PowerBuilder,

Active Directory,

SharePoint,

Selenium,

Agile,

SSH,

Data architecture,

WinSCP,

Jira,

SDLC,

IT Management,

IT-consulting,

Citrix,

Waterfall,

Mathematics,

Certified Information Systems Security Professional (CISSP),

Exchange

Sheetal Reddy

IT/Programming

Data Lineage,

AWS,

Python,

Scala,

SQL,

Tableau,

Apache Hive,

Apache Kafka,

Apache Spark,

Big Data Architects,

HBase,

MapReduce,

Power BI

Nikolay Latkin

IT/Programming

Data Lineage,

cross browser testing,

JavaScript,

Jira,

Postman,

QA,

SQL,

Appium,

Cucumber,

Cypress,

GraphQL,

QA Management,

Automation Testing,

Test Cases,

Test Planning,

Web Application Testing,

QA manual,

Cross-platform development,

Software testing

Amer Farhat

IT/Programming

Data Lineage,

C#,

JavaScript,

QA,

SQL,

TCP IP

Senthil Kumar N

IT/Programming

Data Lineage,

AWS,

CRM,

Confluence,

Requirement Management,

Team Lead,

Web Application Testing,

Requirements Analysis,

Product development,

Product Management

Sergey Federolf

IT/Programming

Data Lineage,

Agile,

Jira,

Project Management,

SQL,

Business Process Modeling,

Confluence,

BPMN,

Business Analysis,

Product Management

Stan Slutsky

IT/Programming

Data Lineage,

Tableau,

HP-UX Administration,

Python,

Computer Science,

SQL query,

AWS,

MS SQL Server,

Big data,

SoapUI,

SQL,

Asm,

unix,

Data Scientists,

QA Management,

Google Cloud Datastore,

Scrum Master,

PL/SQL,

ETL,

CRM,

IBM Db2,

SAS,

J2EE,

IT Service Management,

Ibm websphere,

Toad,

Windows,

BizTalk Server,

AIX,

PowerBuilder,

Active Directory,

SharePoint,

Selenium,

Agile,

SSH,

Data architecture,

WinSCP,

Jira,

SDLC,

IT Management,

IT-consulting,

Citrix,

Waterfall,

Mathematics,

Certified Information Systems Security Professional (CISSP),

Exchange

Sheetal Reddy

IT/Programming

Data Lineage,

AWS,

Python,

Scala,

SQL,

Tableau,

Apache Hive,

Apache Kafka,

Apache Spark,

Big Data Architects,

HBase,

MapReduce,

Power BI

Nikolay Latkin

IT/Programming

Data Lineage,

cross browser testing,

JavaScript,

Jira,

Postman,

QA,

SQL,

Appium,

Cucumber,

Cypress,

GraphQL,

QA Management,

Automation Testing,

Test Cases,

Test Planning,

Web Application Testing,

QA manual,

Cross-platform development,

Software testing

Amer Farhat

IT/Programming

Data Lineage,

C#,

JavaScript,

QA,

SQL,

TCP IP

Senthil Kumar N

IT/Programming

Data Lineage,

AWS,

CRM,

Confluence,

Requirement Management,

Team Lead,

Web Application Testing,

Requirements Analysis,

Product development,

Product Management

Sergey Federolf

IT/Programming

Data Lineage,

Agile,

Jira,

Project Management,

SQL,

Business Process Modeling,

Confluence,

BPMN,

Business Analysis,

Product Management

Hiring a Data Lineage Developer brings several significant advantages to your organization. They play an essential role in understanding, organizing, and managing vast amounts of data. Their expertise ensures the traceability of your data, providing a clear picture of data origin, movement, characteristics, and quality.

Data Lineage Developers can help your organization maintain regulatory compliance, as they can map out data flows, essential in sectors like finance or healthcare where data integrity and privacy are paramount. They enable quicker troubleshooting by identifying where errors might have been introduced into data processes.

They can also enhance decision-making as they provide a better understanding of data dependencies and how data manipulations impact the overall system. This understanding can lead to more accurate insights and predictions.

Moreover, they can improve the efficiency of data management as they help eliminate redundant data storage and processing, leading to cost savings. Lastly, they can boost collaboration between data teams, as a clearer understanding of data lineage can help in resolving misunderstandings or assumptions about data, resulting in better data governance.

In a data-driven world, a Data Lineage Developer can be an invaluable asset to any organization.

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