Intern – Data Research Engineering (Looking for 2023 graduates/ BCA/MCA/Bsc-Csc/ BE/ BTech) | Forbes Advisor | Mumbai, MH

December 28, 2023

Job description:

Forbes advisor is looking for Data Research Engineering Interns.

Position overview:

At Marketplace, our mission is to help readers turn their aspirations into reality. We arm people with trusted advice and guidance, so they can make informed decisions they feel confident in and get back to doing the things they care about most.

We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Marketplace boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Marketplace’s global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel.

The Data Research Engineering Team is a brand new team with the purpose of managing data from acquisition to presentation, collaborating with other teams while also operating independently. Their responsibilities include acquiring and integrating data, processing and transforming it, managing databases, ensuring data quality, visualizing data, automating processes, working with relevant technologies, and ensuring data governance and compliance. They play a crucial role in enabling data-driven decision-making and meeting the organization’s data needs.

As an intern, you will have the opportunity to work on various aspects of the data engineering process, contributing to data-driven decision-making and supporting the organization’s data needs

Job duties and responsibilities:

Assist in developing methods and processes for data quality assurance (QA) to ensure accuracy, completeness, and integrity.
Support the implementation of data validation rules and automated data quality checks.
Participate in data profiling and analysis to identify anomalies, outliers, and inconsistencies.
Contribute to the design and implementation of data models and schemas.
Assist in acquiring and integrating data from various sources, including web crawling and API integration.
Learn and contribute to building and maintaining scripts in Python for data extraction, transformation, and loading (ETL) processes.
Contribute to building and maintaining data processing workflows using tools like Knime.
Contribute to cross-functional teams in understanding data requirements and participating in data strategy and governance initiatives.
Collaborate with the Data Research Engineer Team Lead to estimate development efforts and meet project deadlines.
Assume accountability for achieving development milestones.
Prioritize tasks to ensure timely delivery in a fast-paced environment with rapidly changing priorities.
Collaborate with and assist fellow members of the Data Research Engineering Team as required.
Leverage online resources effectively, such as StackOverflow, ChatGPT, Bard, etc., considering their capabilities and limitations.

Qualifications, skills and experience required:

Currently pursuing a Bachelor’s degree in Computer Science, Data Science, or a related field.
Developing proficiency in Python programming for data extraction, transformation, and loading.
Basic proficiency in SQL and data querying.
Familiarity with Python modules such as Pandas, SQLAlchemy, gspread, PyDrive, BeautifulSoup and Selenium, sklearn, Plotly.
Developing knowledge of web crawling techniques and API integration.
Basic understanding of database concepts and data modeling principles.
Developing knowledge of data quality assurance methodologies and techniques.
Awareness of cloud platforms, including AWS (RDS, S3, EC2, and ECS), Google Cloud Platform, and big data technologies.
Exposure to Knime or similar tools for data integration and analysis is a plus.
Awareness of machine learning concepts and techniques.
Exposure to front-end technologies in web development such as HTML, CSS, JavaScript, and Angular for implementing data visualizations is a plus.
Exposure to Agile development methodologies is a plus.
Strong problem-solving and analytical skills with attention to detail.
Creative and critical thinking.
Ability to work collaboratively in a team environment.
Good and effective communication skills.
Eagerness to learn and expand knowledge in data engineering.
Exposure to version control systems, such as Git, for collaborative development.
Ability to thrive in a fast-paced environment with rapidly changing priorities.
Comfortable with autonomy and the ability to work independently.