Entry Level Data Engineer

Company Description
Saatvik Agro is the agro-ingredient unit of the Saatvik Group, specializing in high-quality maize-based ingredients used in food, nutrition, animal feed, and industrial applications. The organization focuses on purity and scientific rigor, converting responsibly sourced maize into functional and reliable ingredient solutions. Its products are designed to meet the evolving needs of modern manufacturers who demand consistency, performance, and safety. Guided by the belief that better ingredients create better outcomes, Saatvik Agro aims to support customers in delivering superior products to their markets.
Role Description
We are looking for an Entry Level Data Engineer for a full-time, on-site opportunity based in Morena, Madhya Pradesh, India.
The role is ideal for fresh graduates, recent graduates, and early-career professionals looking to start their careers in Data Engineering, SQL, Python, ETL/ELT, Databases, Data Pipelines, Business Intelligence, Analytics, Cloud, and Automation.
The Entry Level Data Engineer will work closely with IT, analytics, finance, production, supply chain, sales, operations, and other business teams to support the collection, cleaning, transformation, integration, and management of reliable data for reporting, analytics, and business decision-making.
Qualifications
B.E. / B.Tech / B.Sc. / BCA / MCA / M.Sc. / M.Tech in Computer Science, Information Technology, Data Science, Software Engineering, Mathematics, Statistics, Engineering, or a related discipline.
Freshers and candidates with up to 2 years of experience are strongly encouraged to apply.
2024, 2025, and 2026 graduates are encouraged to apply.
Candidates currently working as Junior Data Engineer, Associate Data Engineer, Data Analyst, SQL Developer, ETL Developer, BI Developer, MIS Executive, Database Developer, Analytics Engineer, or Software Engineer can apply.
Candidates from IT services, SaaS, technology, consulting, e-commerce, finance, telecom, manufacturing, FMCG, logistics, retail, or other industries are welcome.
Basic knowledge of SQL.
Familiarity with Python will be an advantage.
Basic understanding of databases, data cleaning, transformation, ETL/ELT, and data pipelines.
Familiarity with databases such as MySQL, PostgreSQL, SQL Server, Oracle, MongoDB, or similar platforms will be an advantage.
Exposure to Power BI, Tableau, Looker, Excel, or similar BI/reporting tools will be beneficial but is not mandatory.
Exposure to AWS, Azure, Google Cloud, Snowflake, Databricks, BigQuery, Redshift, Spark, Airflow, dbt, or similar technologies will be an advantage but is not mandatory.
Basic understanding of data warehousing, APIs, data modeling, or cloud data platforms will be beneficial.
Good analytical, logical, troubleshooting, and problem-solving skills.
Good communication, documentation, and teamwork abilities.
Ability to work effectively with both technical and business teams.
Willingness to work in an on-site environment.
Internship, certification, GitHub project, SQL project, Python project, hackathon, academic project, Kaggle project, or self-learning experience will be considered and is not mandatory.
Strong willingness to learn and build a long-term career in data engineering.

Work arrangement
No