ReaCredence IT Solutions Inc Hiring Drive 2023: ReaCredence IT Solutions Inc hiring for a job role of Technical Data Engineering Internship for India Location Jobseekers With Years Of Experience candidates can apply for this job role ASAP.
Company Name: ReaCredence IT Solutions Inc
Role: Data Engineer Internship
Location: India
Experience: 2 Years
Qualification: Bachelor’s degree
Batch: Any Batch
Salary: Estimated
ReaCredence IT Solutions Inc Hiring Drive 2023
Key Responsibilities:
- Designing and developing data pipelines: Collaborate with the team to design and implement efficient and scalable data pipelines, including data ingestion, transformation, and storage.
- Data infrastructure management: Assist in setting up and maintaining data infrastructure components such as databases, data warehouses, and data lakes. Monitor and optimize performance to ensure data availability and reliability.
- Data integration: Integrate data from various sources and formats, ensuring data quality and consistency. Develop data integration workflows and scripts to automate data processing tasks.
- Data transformation and modeling: Implement data transformation processes to convert raw data into structured formats suitable for analysis. Work on data modeling activities to support data analysis and reporting requirements.
- Data quality and validation: Implement data validation and quality checks to ensure accuracy, completeness, and consistency of data. Identify and resolve data quality issues in collaboration with the data engineering team.
- Performance optimization: Identify opportunities for performance improvement and optimization of data processing and storage systems. Propose and implement solutions to enhance system efficiency and scalability.
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Skills Required:
- Currently pursuing a bachelor’s or master’s degree in Computer Science, Engineering, or a related field.
- Strong programming skills in languages such as Python, Java, or Scala.
- Familiarity with databases (SQL, NoSQL) and data modeling concepts.
- nowledge of data processing frameworks and technologies such as Apache Spark, Apache Hadoop, Git, Jupyter Notebooks, Docker,Splunk, Elasticsearch / Logstash / Kibana (ELK Stack) or Apache Kafka.
- Understanding of data integration and ETL (Extract, Transform, Load) processes.
- Previous experience with cloud platforms (e.g., AWS, Azure, Google Cloud) is a plus.
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