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, in office opportunity based in Morena, Madhya Pradesh, India.

The role is designed for fresh graduates and early-career professionals interested in data engineering, SQL, Python, databases, ETL/ELT processes, data pipelines, cloud technologies, data transformation, analytics, and modern data platforms.

The Entry Level Data Engineer will work closely with software, IT, analytics, operations, finance, production, supply chain, sales, and other business teams to collect, clean, transform, integrate, validate, and organize data for reporting, analytics, automation, and business applications.

The role may involve working with Python, SQL, relational and NoSQL databases, APIs, ETL/ELT pipelines, data warehouses, cloud platforms, workflow orchestration, data-quality processes, reporting tools, and modern data-engineering technologies depending on project and business requirements.

Qualifications

- B.E. / B.Tech / B.Sc. / BCA / MCA / M.Sc. / M.Tech in Computer Science, Information Technology, Software Engineering, Computer Applications, Data Science, Artificial Intelligence, Mathematics, Statistics, or a related discipline.
- Fresh graduates and candidates with up to 2 years of relevant experience are strongly encouraged to apply.
- Final-year students who are completing their degree and are available for full-time employment may also apply.
- Candidates with 0–2 years of experience in data engineering, data analytics, database development, ETL development, software development, backend development, business intelligence, data science, automation,



or related technology roles can apply.
- Candidates currently working as Entry Level Data Engineer, Junior Data Engineer, Graduate Data Engineer, Associate Data Engineer, Data Engineering Intern, ETL Developer, SQL Developer, Database Developer, Data Analyst, BI Developer, Python Developer, Junior Software Engineer, or Associate Software Engineer are encouraged to apply.
- Candidates from IT services, SaaS, product companies, technology, consulting, e-commerce, fintech, telecom, analytics, manufacturing, logistics, FMCG, or other industries are welcome.
- Basic to positive knowledge of Python, SQL, and data-engineering fundamentals.
- Understanding of relational databases, tables, relationships, joins, subqueries, aggregations, views, indexes, normalization, transactions, and database queries.
- Familiarity with MySQL, PostgreSQL, SQL Server, Oracle, SQLite, MongoDB, or similar databases will be beneficial.
- Exposure to Python libraries such as Pandas, NumPy, Requests, SQLAlchemy, or similar data-processing libraries will be advantageous.
- Basic understanding of data cleaning, transformation, validation, integration, profiling, and data-quality concepts.
- Familiarity with ETL/ELT processes, data ingestion, data pipelines, workflow automation, and movement of data between multiple systems will be beneficial.
- Basic understanding of REST APIs, JSON, CSV, Excel files, web services, and integrating data from different sources.
- Exposure to data warehouses, data lakes, dimensional modeling, fact and dimension tables, data marts, or analytical databases will be considered an advantage.
- Exposure to AWS, Microsoft Azure, Google Cloud, or similar cloud platforms will be beneficial but is not mandatory.
- Familiarity with technologies such as Amazon S3, Redshift, AWS Glue, Azure Data Factory, Azure Synapse, Google BigQuery,



or similar cloud-data services will be considered an additional advantage.
- Exposure to Apache Spark, PySpark, Apache Airflow, Kafka, dbt, Hadoop, Databricks, or similar data-engineering tools will be beneficial but is not mandatory.
- Basic understanding of batch processing, data scheduling, workflow orchestration, and automated data-processing pipelines will be advantageous.
- Exposure to streaming data, real-time data processing, event-driven pipelines, or message queues will be considered an additional advantage.
- Familiarity with Power BI, Tableau, Looker, Excel, or other reporting and business-intelligence tools will be beneficial.
- Familiarity with Git, GitHub, version control, debugging, documentation, and collaborative development workflows.
- Exposure to Docker, Linux, CI/CD, Jenkins, GitHub Actions, or similar DevOps technologies will be beneficial but is not mandatory.
- Exposure to machine learning, artificial intelligence, data science, predictive analytics, or statistical analysis will be considered an additional advantage.
- Basic understanding of data governance, access controls, data security, privacy, backup, and recovery concepts will be beneficial.
- Familiarity with Agile, Scrum, Jira, SDLC, technical documentation, requirements gathering, or issue tracking will be advantageous but is not mandatory.
- Positive analytical, logical, troubleshooting, data interpretation, and problem-solving skills.
- Good communication, documentation, collaboration, and teamwork abilities.
- Ability to understand business requirements and contribute to reliable, structured, scalable, and maintainable data solutions.
- Willingness to work in an on-site environment.
- Internship, academic project, SQL project, Python project, ETL project, analytics project, data-pipeline project, GitHub project, hackathon, freelance assignment, or data-science project will be considered but is not mandatory.
- Candidates without previous full-time data-engineering experience can apply.
- Strong willingness to learn new databases, cloud platforms, ETL tools, programming technologies, data architectures, and modern data-engineering practices.

Job Location: Morena, Madhya Pradesh Employment Type: Full-time, On-site

Experience: Freshers & 0–2 Years

📌 Entry Level Data Engineer (Morena)
🏢 Saatvik Agro
📍 Morena