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 a Junior Data Engineer for a full-time, on-site opportunity based in Morena, Madhya Pradesh, India. The role is ideal for fresh graduates and early-career professionals interested in data engineering, ETL/ELT pipelines, SQL, Python, data processing, cloud platforms, databases, data warehouses, analytics infrastructure, automation, and modern data technologies. The Junior Data Engineer will work closely with software, IT, analytics, operations, production, supply chain, finance, sales, and other business teams to collect, clean, transform, validate, integrate, and organize data from different systems while contributing to reliable pipelines, reporting datasets, data platforms, and analytics solutions. Depending on project requirements, the role may involve Python, SQL, Pandas, NumPy, relational databases, ETL/ELT processes, REST APIs, data warehouses, cloud platforms, Spark, PySpark, Airflow, Kafka, dbt, Databricks, Git, Docker, and other modern data-engineering technologies. 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 completing their degree and available for full-time employment may also apply.
- Candidates with 0–2 years of experience in data engineering, data analytics, ETL development, database development, software development, data integration, business intelligence, or related technology roles can apply.
- Candidates currently working as Junior Data Engineer, Associate Data Engineer, Graduate Data Engineer,



Entry Level Data Engineer, Data Engineer, Junior ETL Developer, Junior SQL Developer, Data Analyst, Junior Data Analyst, Data Integration Engineer, Database Developer, Associate Software Engineer, Graduate Engineer, or similar roles 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 good knowledge of Python and SQL.
- Understanding of data structures, data processing, file handling, exception handling, debugging, scripting, and clean coding practices.
- Familiarity with Python libraries such as Pandas, NumPy, Requests, SQLAlchemy, PyArrow, or similar libraries will be beneficial.
- Basic understanding of relational databases such as MySQL, PostgreSQL, SQL Server, Oracle, or similar technologies.
- Familiarity with SQL concepts including joins, aggregations, subqueries, views, stored procedures, indexes, transactions, data types, and query optimization will be advantageous.
- Understanding of data cleaning, transformation, validation, profiling, deduplication, standardization, and data-quality concepts.
- Exposure to ETL/ELT processes, data pipelines, batch processing, workflow automation, data ingestion, transformation, loading, and integration will be beneficial.
- Familiarity with REST APIs, JSON, CSV, Excel, XML, flat files, databases, and other common data sources will be advantageous.
- Exposure to data warehouses, data lakes, data marts, dimensional modelling, fact tables, dimension tables, star schemas, or analytical data models will be beneficial but is not mandatory.
- Exposure to AWS, Microsoft Azure, or Google Cloud will be considered an advantage.
- Familiarity with cloud data technologies such as Amazon S3, Redshift, Glue, Athena, Azure Data Factory, Synapse, Data Lake, Google BigQuery, Cloud Storage, or similar services will be beneficial but is not mandatory.
- Exposure to Apache Spark, PySpark, Airflow, Kafka,



dbt, Hadoop, Databricks, or similar data-engineering technologies will be considered an advantage.
- Basic understanding of batch processing, streaming data, workflow orchestration, scheduling, monitoring, and pipeline troubleshooting will be beneficial.
- Familiarity with Git, GitHub, version control, branching, pull requests, code reviews, and collaborative development workflows.
- Exposure to Docker, Linux, command-line tools, CI/CD, environment configuration, logging, monitoring, or deployment concepts will be advantageous.
- Familiarity with Power BI, Tableau, Looker, Excel, dashboards, reporting tools, or business-intelligence platforms will be beneficial.
- Exposure to data analytics, machine learning, AI, predictive modelling, or generative AI will be considered an additional advantage but is not mandatory.
- Basic understanding of data governance, access control, data security, privacy, metadata, lineage, cataloguing, backup, and recovery concepts will be beneficial.
- Exposure to ERP, CRM, supply-chain systems, manufacturing applications, inventory platforms, finance systems, or enterprise databases will be considered an advantage.
- Familiarity with Agile, Scrum, Jira, SDLC, technical documentation, requirements gathering, user stories, sprint planning, or issue tracking will be advantageous but is not mandatory.
- Good analytical, numerical, logical, debugging, troubleshooting, and problem-solving skills.
- Good communication, documentation, collaboration, and teamwork abilities.
- Ability to understand business data requirements and contribute to reliable, scalable, maintainable, and accurate data solutions.
- Willingness to work in an on-site environment.
- Internship, academic project, data-engineering project, Python project, SQL project, ETL project, analytics project, database project, GitHub project, hackathon, freelance assignment, startup project, or open-source contribution will be considered but is not mandatory.
- Candidates without previous full-time data-engineering experience can also apply.
- Solid willingness to learn new data technologies, cloud platforms, databases, pipeline tools, analytics systems, and modern data-engineering practices. Job

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

Experience:
Freshers & 0–2 Years

📌 Junior Data Engineer (Morena)
🏢 Saatvik Agro
📍 Morena