Senior Data Entry Specialist Remote Careers At Nexahire High Impact Data

• Senior Data Entry Specialist Remote Careers at nexahire High Impact Data Management & Analytics
• Company: Netlify
• Job Location: Remote (Work from home), India
• Employment Type: Full-time
• Experience Required: 2+ years
• Salary: $51,449$64,458 a year
• About Netlify
• ```htmlAbout nexahirenexahire is a trailblazer in the AIdriven data solutions industry, empowering businesses worldwide to transform raw information into actionable insights.
• Working at Netlify

With a culture rooted in innovation, integrity, and inclusivity, nexahire delivers cuttingedge data infrastructure, analytics platforms, and machinelearning models that help clients unlock value from their data at scale.

About the Role

Whether youre a seasoned data professional or a fresh graduate eager to make an impact, nexahire offers a dynamic, collaborative environment where your ideas shape the future of data science and AI.

Why This Role Matters

As a Remote Data Entry Specialist, you will be the backbone of nexahires data pipeline, ensuring that highquality, reliable data fuels our AI models, analytics dashboards, and client solutions. Your meticulous attention to detail, combined with a passion for data integrity, will directly influence the accuracy and performance of nexahires flagship products, including our proprietary AI assistants, predictive analytics tools, and industryspecific data services. In short, youll help turn raw data into the engine that powers nexahires mission to democratize AI for everyone.

Key Responsibilities

Data Collection & Validation:Gather structured and unstructured data from diverse sources (APIs, web scraping, thirdparty feeds, internal databases) and perform rigorous quality checks to ensure accuracy, completeness, and consistency.

Data Cleaning & Transformation:Apply data cleansing techniques (deduplication, normalization, outlier detection) and transform raw data into standardized formats suitable for downstream analytics and machinelearning pipelines.

Metadata Management:Create, maintain, and update metadata catalogs, ensuring that data lineage, provenance, and schema definitions are clearly documented and accessible to data scientists and engineers.

Collaboration with CrossFunctional Teams:Work closely with Product Managers, Data Engineers, and MachineLearning Engineers to understand data requirements, provide feedback on data quality, and contribute to the design of data ingestion workflows.

Automation & Tool Development:Build and maintain scripts, ETL jobs, and data validation tools using Python, SQL, and cloud services (AWS, GCP, or Azure) to streamline repetitive data entry tasks and reduce manual effort.

• Performance Monitoring:Track key metrics such as data ingestion latency, error rates, and data freshness, and proactively identify bottlenecks or data quality issues.
• Compliance & Security:Ensure that all data handling practices comply with relevant privacy regulations (GDPR, CCPA) and nexahires internal security policies.
• Continuous Improvement:Participate in retrospectives and propose enhancements to data workflows, documentation, and tooling to increase efficiency and reduce error rates.
• Essential Qualifications
• Bachelors degree in Computer Science, Information Systems, Data Science, or a related field.
• Minimum of 2 years of experience in data entry, data quality, or data engineering roles.
• Proficiency in SQL and at least one scripting language (Python, Bash).
• Experience with cloud data platforms (AWS Redshift, Snowflake, BigQuery) and data integration tools (Airflow, dbt).
• Strong analytical mindset with a keen eye for detail and a commitment to data accuracy.
• Excellent written and verbal communication skills, capable of translating technical concepts to nontechnical stakeholders.
• Selfmotivated, organized, and able to manage multiple priorities in a fastpaced, remote environment.
• Preferred Qualifications
• Knowledge of data governance frameworks and data quality frameworks (e.g., DAMA, ISO 8000).
• Experience with data visualization tools (Tableau, Power BI, Looker) and reporting dashboards.
• Familiarity with machinelearning pipelines and the role of data in model training and evaluation.
• Prior exposure to GDPR, CCPA, or other data privacy regulations.
• Contributions to opensource data projects or personal dataengineering side projects.
• Skills & Competencies
• Data Integrity & Quality AssuranceETL & Data Pipeline DesignSQL & Database Management
• Python Programming & Automation
• Cloud Platforms (AWS, GCP, Azure)ProblemSolving & Critical Thinking
• Collaboration & CrossFunctional Communication
• Adaptability & Continuous Learning
• Career Growth & .