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JD #2454
Applications open Internship

Junior Software Engineer

Zema Global Data Corporation

  • Navi Mumbai, Maharashtra
  • Not disclosed
  • 2 Years
  • Posted Nov 10, 2026
HR
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About the role

Zema Global Data Corporation, founded in 1995, is a leading technology provider that specializes in enterprise data management, analytics, and decision‑support solutions for the energy, commodities, and financial markets. With a presence across North America, Europe and Asia, the company builds platforms that ingest massive volumes of market data, transform it, and deliver actionable insights to its global clientele. The engineering culture at Zema Global emphasizes innovation, collaboration, and continuous learning, allowing engineers to work on cutting‑edge data pipelines, cloud‑native services, and high‑performance APIs that power critical business processes.

The Junior Software Engineer role is positioned within the Engineering department in Navi Mumbai (Seawoods) and follows a hybrid work model. Reporting to senior architects and product leads, the incumbent will contribute to the design, development, and maintenance of scalable data pipelines, web applications, and RESTful APIs that feed Zema Global’s analytics platforms. The position is ideal for recent graduates or early‑career professionals with 6 months to 2 years of hands‑on software development experience, especially those proficient in Core Java, Spring, Oracle databases and SQL.

The role offers exposure to a global engineering team, opportunities to work with diverse data sources, and a clear path toward senior technical positions.

Key responsibilities include

  • Designing, building, and managing data feeds that aggregate information from multiple vendors and external sources.
  • Transforming raw data into structured formats suitable for internal consumption and analytics.
  • Developing and maintaining scalable data pipelines using Java and Spring.
  • Creating, testing, and supporting web applications and REST APIs that expose data services to internal and external users.
  • Writing clean, maintainable code and adhering to software development best practices.
  • Working with Oracle databases, crafting complex SQL queries, and optimizing data models.
  • Collaborating with data analysts, product managers, and other engineers to ensure data quality and reliability.
  • Identifying repetitive tasks and automating them using scripting or CI/CD tools.
  • Maintaining documentation for data collection processes, codebases, and deployment procedures.
  • Participating in agile ceremonies, providing accurate estimations, and reporting progress daily.

The technical stack revolves around Core Java, Spring Framework, Oracle SQL, Git for version control, and automation tools such as Jenkins. Familiarity with ETL concepts, data warehousing, and cloud platforms (AWS, Azure, GCP) is considered a plus. The role also encourages learning about CI/CD pipelines, containerization, and modern DevOps practices.

Growth at Zema Global is structured: Junior engineers can progress to Software Engineer, then to Senior Engineer, and eventually to Technical Lead or Architect, depending on performance and skill acquisition. The company invests in continuous learning through internal workshops, mentorship programs, and access to industry conferences.

Why join Zema Global? You will be part of a globally distributed team that tackles real‑world data challenges in high‑stakes markets, gain exposure to enterprise‑grade technologies, and enjoy a supportive environment that values innovation, work‑life balance, and career advancement. The hybrid model offers flexibility while still fostering team cohesion, and the company’s commitment to employee development ensures that you can build a rewarding long‑term career in software engineering.

Eligibility & process

Who can apply

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering or a related field; minimum 60% aggregate (or equivalent CGPA); batch years 2022‑2026; no active backlogs at the time of application; 6 months to 2 years of relevant professional experience (freshers may apply only after confirming eligibility with the recruiter).

Skills & stack

Core Java Spring Framework Oracle Database SQL Git Data Modeling REST APIs Etl Concepts

Selection process

  1. Round 1: Online coding assessment (Java/SQL problems)
  2. Round 2: Technical interview (deep dive into Java, Spring, data pipelines, problem‑solving)
  3. Round 3: HR interview (fit, motivations, work‑culture alignment)

Prep kit

20 resources
Study material 4
Company-specific guides 4
Likely coding questions 4
Round-wise strategy 4
Round 1: Online Assessment (OA) Aptitude, Quantitative Logic & 2 Coding Problems Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1 Core Tech Stack (Core Java, Spring Framework, Oracle Database, SQL, Git, Data Modeling, REST APIs, Etl Concepts) & Live Code Tracing Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving Database Schemas, APIs & Architecture Basics Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion Zema Global Data Corporation Core Values, Learning Agility & Offer Terms Demonstrate passion, strong communication, and readiness for full-time collaboration.
Technical questions 5
What is the difference between WHERE and HAVING clauses in SQL? Answer
Model answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer
Model answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer
Model answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer
Model answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer
Model answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Behavioural & HR questions 3
Why do you want to join Zema Global Data Corporation as a Junior Software Engineer?
Highlight Zema Global Data Corporation's market reputation, recent tech innovations, and how your skills in Core Java directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Zema Global Data Corporation Not disclosed
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