01Overview
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 contemporary 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 a Data Engineer for a full-time opportunity to support data-driven decision-making across business and operational functions.
The role is suitable for fresh graduates and early-career professionals interested in working across data engineering, data analytics, databases, reporting, ETL, automation, business intelligence, and data management.
The Data Engineer will work with business, operations, finance, supply chain, production, marketing, and technology teams to collect, organize, transform, and maintain reliable data for reporting, analytics, and business decision-making.
Qualifications
- B.E. / B.Tech / B.Sc. / BCA / MCA / M.Tech or equivalent qualification in Computer Science, Information Technology, Data Science, Engineering, Mathematics, Statistics, or a related discipline.
- Freshers and experienced candidates are encouraged to apply.
- Candidates with 05 years of experience in data engineering, analytics, databases, software development, business intelligence, or related areas can apply.
- Basic to good knowledge of SQL and databases.
- Familiarity with Python or another programming language will be an advantage.
- Understanding of ETL/ELT, data pipelines, data cleaning, transformation, and integration will be preferred.
- Exposure to databases such as MySQL, PostgreSQL, SQL Server, Oracle, or similar technologies will be an advantage.
- Familiarity with Power BI, Tableau, Excel, or other business-intelligence tools will be beneficial.
- Exposure to AWS, Azure, Google Cloud, Snowflake, Databricks, Spark, Airflow, or similar data technologies will be an advantage but is not mandatory.
- Good analytical, logical, and problem-solving skills.
- Ability to work with large datasets and identify inconsistencies or patterns.
- Good communication, documentation, and teamwork skills.
- Internship, certification, personal project, GitHub project, or academic experience in data engineering, analytics, SQL, Python, cloud, or databases will be considered.
- Strong willingness to learn new data technologies and tools. .
