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Forward Eye Technologies
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Data Engineer - Scala/PySpark

Data Engineer - Scala/PySpark

Forward Eye Technologies

1 - 4 years

3 - 6 Lacs

noida

Posted:1 day ago| Platform:

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Skills Required

advance sql streamsets sql etl tool spark metadata aws iam scala pyspark data warehousing dbms emr spark programming data modeling aws emr devops hadoop etl snowflake airflow data processing data engineering data quality kafka aws data integration

Work Mode

Work from Office

Job Type

Full Time

Job Description

Contract Duration : 3 months

Skills : - PySpark or Scala with Spark, Spark Architecture, Hadoop, SQL

- Streaming Technologies like Kafka etc.- Proficiency in Advanced SQL (Window functions)- Airflow, S3, and Stream Sets or similar ETL tools.- Basic Knowledge on AWS IAM, AWS EMR and Snowflake.

Responsibilities :

- Data Pipeline Development: Design, implement, and maintain scalable and efficient data pipelines to collect, process, and store large volumes of structured and unstructured data.

- Data Modeling: Develop and maintain data models, schemas, and metadata to support the organization's data initiatives. Ensure data integrity and optimize data storage and retrieval processes.

- Data Integration: Integrate data from various sources, including databases, data warehouses, APIs, and streaming platforms, ensuring compatibility, consistency, and quality.

- Performance Optimization: Optimize data pipelines and processing systems for performance, scalability, and reliability. Identify and resolve bottlenecks and inefficiencies in data workflows.

- Data Quality Assurance: Implement data quality checks, validation rules, and monitoring mechanisms to ensure the accuracy, completeness, and consistency of data across different systems.

- Infrastructure Management: Collaborate with DevOps and IT teams to provision, configure, and manage infrastructure components such as databases, clusters, and cloud services required for data processing and storage.

- Security and Compliance: Implement data security best practices and compliance standards to protect sensitive information and ensure regulatory compliance (e.g., GDPR, HIPAA). Monitor and audit data access and usage to prevent unauthorized activities.

- Documentation and Communication: Document data pipelines, systems architecture, and technical processes. Communicate effectively with cross-functional teams to gather requirements, provide updates, and address issues.

- Continuous Learning: Stay updated on emerging technologies, tools, and techniques in data engineering and related fields. Evaluate and recommend new technologies and approaches to improve data infrastructure and workflows.

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Data Engineer - Scala/PySpark