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WN Infotech

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203 WN Infotech Jobs

Full Stack Data Engineer (Python/SQL/Spark)

WN Infotech

1-5 years

Noida, Pune, Gurgaon / Gurugram + 1 more

1 vacancy

WN Infotech

posted 1mon ago

Job Role Insights

Key skills for the job

Data Analytics Python SQL Information Technology Clinical Data Management Front End

+ 3 more

Job Description

Web Neural Infotech is seeking a highly skilled Full Stack Data Engineer with expertise in Python , SQL , and Apache Spark to join our data engineering team. In this role, you will be responsible for designing, building, and optimizing data pipelines and data storage solutions that power our analytics and business intelligence applications. The ideal candidate will have experience with both back-end data management and front-end data visualization, ensuring seamless data flow and accessibility across our systems.

Your Role and Responsibilities

Design, develop, and maintain scalable data pipelines using Python and Apache Spark to process large datasets.

Build and optimize SQL queries for data extraction, transformation, and loading (ETL) into data warehouses.

Develop data models and schemas to organize and streamline data access for analytics and reporting.

Integrate and manage data visualization tools, ensuring accurate and accessible reporting for business stakeholders.

Optimize data workflows for performance, ensuring low latency and high reliability.

Collaborate with data scientists, analysts, and software engineers to ensure seamless data integration across the organization.

Document data structures, pipeline workflows, and architecture to support knowledge sharing and ongoing maintenance.

Required Technical and Professional Expertise

Proficiency in Python for data processing and scripting.

Strong knowledge of SQL for database management and ETL processes.

Experience with Apache Spark for distributed data processing and handling large datasets.

Familiarity with cloud data platforms like AWS (Redshift, S3) , Google Cloud (BigQuery) , or Azure (Synapse) .

Knowledge of data warehousing concepts and experience with ETL pipelines.

Experience with data visualization tools like Tableau , Power BI , or Looker is a plus.

Proficient in version control, particularly Git .

Strong problem-solving and data optimization skills.

Qualification Experience Required

Educational Background: Bachelor s degree in Computer Science, Data Engineering, Information Technology, or a related field.

Experience Level: Open to freshers, mid-level, and senior-level candidates.

Familiarity with data lake architecture and big data ecosystems (e.g., Hadoop, Kafka) is a plus.

Knowledge of Agile methodologies and experience with collaboration tools is preferred.

Employment Type: Full Time, Permanent

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