Data Engineering Training and Internship

About the Company :

Refonte Learning is a dynamic Ed-Tech division of Refonte Private Limited, dedicated to empoweringindividuals and businesses in the digital age. Weofferindustry-relevant IT training programs in Python, SQL, Tableau, and Advanced Excel, alongwith hands-on projects and internshipsthroughour unique Global Training &Internship Program (OGTIP). Additionally, weprovidecutting-edge digital marketing solutions to help businesses achievetheirgrowth objectives.

Program Overview:

The Data Engineering Training and Internship Program is designed for individuals who are passionate about working with large datasets and building the data pipelines that power data-driven decision-making. Throughout this internship, you will get the chance to work on real-world data challenges, using modern tools and technologies to create scalable, efficient, and robust data systems.

You will be exposed to data warehousing, data pipelines, ETL processes, and real-time data streaming, working alongside senior data engineers to enhance your skills in data architecture and management.

Key Responsibilities:

• Data Pipeline Development: Assist in building, optimizing, and maintaining data pipelines to process and store large volumes of data from various sources.
• ETL Processes: Learn how to design and implement ETL (Extract, Transform, Load) processes to ensure efficient data integration and transformation.
• Data Warehousing: Support the development and management of data warehouses to store structured and unstructured data for analysis and reporting.
• Big Data Technologies: Gain hands-on experience with big data technologies such as Hadoop, Spark, and Kafka for handling large-scale data.
• Database Management: Work with relational (SQL) and NoSQL databases (e.g., MongoDB, Cassandra) to manage and query data effectively.
• Data Quality and Monitoring: Assist in ensuring data quality through monitoring, validation, and troubleshooting data issues.
• Collaboration: Collaborate with cross-functional teams, including data analysts, data scientists, and software engineers, to deliver data solutions.
• Documentation: Help document data architectures, processes, and procedures for future reference and team usage.

Program Learning Outcomes:

• Proficiency in building, maintaining, and optimizing data pipelines and workflows.
• Hands-on experience with various databases (SQL/NoSQL) and big data tools (Hadoop, Spark, Kafka).
• In-depth knowledge of data integration techniques (ETL) and working with data in cloud environments.
• Understanding of data warehousing concepts and the ability to design data architectures.
• Experience with ensuring data quality and troubleshooting data-related issues.
• Improved collaboration and communication skills while working in a team setting.

Skills & Qualifications:

• Educational Background: Currently pursuing or recently graduated with a degree in Computer Science, Data Science, Information Technology, or a related field.
• Technical Skills: Basic understanding of databases (SQL/NoSQL), data structures, and data modeling. Familiarity with Python, Java, or Scala is a plus.
• Big Data Technologies: Familiarity with tools like Apache Hadoop, Spark, or Kafka is desirable but not required.
• Problem-Solving: Strong analytical thinking and troubleshooting skills, particularly related to data and databases.
• Learning Orientation: A keen interest in learning and gaining experience in data engineering and big data technologies.
• Communication Skills: Ability to clearly explain technical concepts and document processes for both technical and non-technical stakeholders.
• Team Collaboration: Ability to work effectively in a team-oriented environment and handle complex data projects.
• Language Skills: Proficiency in English (written and spoken) is required.

Program Benefits:

• Hands-on experience working with real-world data engineering challenges.
• Mentorship from experienced data engineers and technical staff.
• Exposure to industry-standard data tools and cloud platforms.
• Opportunities to work on impactful projects that drive business insights.
• Networking opportunities with professionals in the data and analytics fields.
• Potential for full-time employment after successful completion of the internship.

How to Apply:

Interested and qualified candidates shouldsendtheir CV to: ursila.ramparanysandia@refontelearning.co using the Title as the subject of the mail.