Looking for a curious and technically strong fresher to build a career in data engineering and analytics.

About the Company

DS Group is a reputable firm involved in various sectors, including strategic consulting. The firm is dedicated to harnessing the power of data to derive actionable insights and enhance business operations. With a strong commitment to innovation and excellence, DS Group prides itself on cultivating a collaborative environment that fosters continuous learning and professional growth.

Role Overview

We are looking for an AI Engineer who is a curious and technically adept individual ready to embark on a career in data engineering and analytics. This entry-level position is ideal for fresh graduates seeking to apply their knowledge in SQL and Python to real-world data challenges. The selected candidate will engage with seasoned professionals to develop reliable data pipelines, validate data accuracy, automate processes, and support business decision-making through insightful analytics.

Key Responsibilities

• Interpret business requirements and translate them into actionable data mappings and transformation rules.
• Develop efficient SQL queries for data manipulation tasks and reporting.
• Construct and maintain data pipelines for seamless data flow between operational systems and reporting platforms.
• Utilize Python for data extraction, transformation, and analysis, ensuring data integrity and quality.
• Create user-friendly dashboards utilizing appropriate visualization tools and practices to present data insights effectively.
• Conduct data analysis to identify trends, anomalies, and areas for improvement.
• Collaborate with business teams to troubleshoot data-related issues and enhance reporting reliability.
• Document technical processes and data pipeline workflows.
• Adhere to best practices in coding, version control, and data security throughout all development processes.
• Continuously seek to learn and adapt to new data technologies to improve efficiency and performance in data processing tasks.

Tech Stack

• Languages: SQL, Python
• Libraries/Tools: Pandas, NumPy, Streamlit, Plotly, Dash, Matplotlib, Seaborn
• Concepts: ETL/ELT processes, Dashboard development, Data Cleaning and Validation

Overall, this position presents a remarkable opportunity for recent graduates eager to start a career focused on data engineering and analytics, providing the platform to explore, innovate, and grow professionally.

Job Requirements

• Education: B.E./B.Tech, BCA, MCA, B.Sc./M.Sc. in Computer Science, IT, Data Science, or related field.
• Technical Skills:
  • Proficient in SQL and strong understanding of database fundamentals.
  • Strong programming skills in Python with exposure to data-processing libraries such as Pandas and NumPy.
• Knowledge of Data Pipeline Concepts:
  • ETL/ELT processes and management of data workflows.
• Analytical Skills:
  • Ability to analyze and interpret data, identifying trends and issues.
• Soft Skills:
  • Problem-solving abilities, curiosity, attention to detail, and effective communication skills.
• Experience:
  • Fresh graduates or candidates with internships or academic projects in relevant fields are encouraged to apply.

Benefits

• Opportunity to work with a dynamic team and learn from experienced professionals.
• Exposure to cutting-edge data technologies and practices.
• Exposure to diverse business scenarios, enhancing analytical skills.
• Career growth opportunities within the organization.
• Supportive work environment fostering learning and development.