Associate Data Engineer

Job Description & Official Details

Job Description

Description

Position: Associate Data Engineer

🎯 What Success Looks Like in This Role

Undergo structured training in modern data engineering tools, technologies, and best practices

Collaborate with senior engineers on the design and development of data pipelines and processing systems

Work with real-world datasets and cloud-based platforms to gain practical, hands-on experience

📋 Requirements & Qualifications

Recent B.Tech graduates in Computer Science, Information Technology, or Electronics & Communication

Strong analytical and problem-solving skills

Basic programming knowledge (Python, SQL, or similar)

Ability to work from our Pune office during the training period

Available to join immediately

🎁 What We Offer

Private Health Insurance

Paid Time Off

Work From Home (Post 3~6 months of training in Pune office)

Training & Development

🎯 Candidate Preparation Notes & Expectations

What this role is about This is an entry-level Associate Data Engineer position with a structured training period in the Pune office. The listing says you will train on modern data engineering tools, work with senior engineers on data pipelines, and handle real-world datasets on cloud-based platforms. Work from home is mentioned only after 3 to 6 months of training in Pune.

Who it is meant for The listing targets recent B.Tech graduates in Computer Science, IT, or Electronics & Communication. It asks for analytical and problem-solving skills, basic programming (Python, SQL or similar), the ability to work from Pune during training, and immediate availability. If you cannot relocate to Pune or cannot join soon, check this before applying.

How to prepare (practical tips)

1. •SQL: Practice joins, GROUP BY, subqueries, window functions (ROW_NUMBER, RANK) and basic query optimisation. SQL is the most common screening topic for data roles.
2. •Python: Be comfortable with lists, dictionaries, functions, file handling and reading CSV/JSON data. Basic pandas helps.
3. •Data concepts: Understand what an ETL/ELT pipeline is, the difference between a database and a data warehouse, and what batch processing means. You do not need deep expertise, but you should explain these in simple words.
4. •Cloud basics: Know what cloud storage, compute and managed databases are. A free-tier account on any major cloud provider is enough to try small exercises.
5. •One small project: Build a mini pipeline, for example read a public CSV, clean it with Python, load it into a SQL database, and write 3 to 4 queries on it. Keep it on GitHub with a clear README.
6. •Explain your thinking: In problem-solving rounds, say your approach out loud before writing code. Interviewers for fresher roles usually care about how you think.

Before you apply Open the official career page, confirm the posting is still live, and read the full eligibility there. Apply only through the official page. A genuine employer will not ask you for money at any stage.