Rudder Analytics Offline Pool Campus Recruitment Drive | 4.8 LPA & 5 LPA

Role: Data Scientist / Data Engineer / Data Analyst

Position:

• Associate Analyst

Location:

• Pune (work from home till further notice)

Eligibility Criteria:

• 2025 Passout Batch Only
• BE/BTech (All Streams, Candidate should have basic knowledge of Programming)
• Minimum 65% till last semester

Job Description:

• Interface with clients across geographies and business verticals, understand their business objectives and provide actionable and implementable solutions.
• Design and develop Business Intelligence dashboards using Tableau, Microsoft Power BI, Qlik Sense, Domo, Looker etc.
• Data Engineering development and data ETL/ELT process build through Talend, Fivetran, Airbyte etc.
• Building data pipelines using PySpark, Apache Nifi, Airflow etc;
• Data warehousing using cloud services like Amazon AWS Redshift, Google GCP BigQuery, Microsoft Azure ADLS etc.
• Large-scale AI Agent development with LLMs, RAG, Vector DBs.
• Machine Learning for computer vision, speech recognition, prediction using various tools and platforms including Python, PyTorch, LangChain, Vertex AI etc.
• Data analytics, insights generation, and client advisory on multiple domains including Ecommerce, Telecom, BFSI, Pharmaceuticals, Manufacturing, Media, Sports etc.
• Take complete ownership of projects, be resourceful to design and implement solution with impeccable quality and delight clients at each touchpoint through great communication and solution delivery.

Good to have:

• Ability to adapt and thrive in a fast paced and demanding environment of a young start-up.
• Ability to learn, unlearn and relearn.
• Eye for minute details.
• Passion to master new technologies and methodologies.
• Great analytical and problem-solving skills.

CTC:

• 4.8L
• *4.20 LPA + 60 K Joining Bonus

Process Details:

• Round 1: MCQ (Aptitude & Technical), duration: 90 minutes
• Round 2: Programming test for shortlisted candidates, duration: 90 minutes (CS/IT Students only)
• Round 3: Group Discussion and Personal interview for shortlisted candidates

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Role: Data Scientist / Data Engineer / Data Analyst

Position:

• Associate Analyst

Location:

• Pune (work from home till further notice)

Eligibility Criteria:

• 2025 Passout Batch Only
• MCA/ ME/ MTech/ MSc(Computers) (Candidate should have basic knowledge of Programming)
• Minimum 65% till last semester

Job Description:

• Interface with clients across geographies and business verticals, understand their business objectives and provide actionable and implementable solutions.
• Design and develop Business Intelligence dashboards using Tableau, Microsoft Power BI, Qlik Sense, Domo, Looker etc.
• Data Engineering development and data ETL/ELT process build through Talend, Fivetran, Airbyte etc.
• Building data pipelines using PySpark, Apache Nifi, Airflow etc;
• Data warehousing using cloud services like Amazon AWS Redshift, Google GCP BigQuery, Microsoft Azure ADLS etc.
• Large-scale AI Agent development with LLMs, RAG, Vector DBs.
• Machine Learning for computer vision, speech recognition, prediction using various tools and platforms including Python, PyTorch, LangChain, Vertex AI etc.
• Data analytics, insights generation, and client advisory on multiple domains including Ecommerce, Telecom, BFSI, Pharmaceuticals, Manufacturing, Media, Sports etc.
• Take complete ownership of projects, be resourceful to design and implement solution with impeccable quality and delight clients at each touchpoint through great communication and solution delivery.

Good to have:

• Ability to adapt and thrive in a fast paced and demanding environment of a young start-up.
• Ability to learn, unlearn and relearn.
• Eye for minute details.
• Passion to master new technologies and methodologies.
• Great analytical and problem-solving skills.

CTC:

• 5L
• *4.20 LPA + 80 K Joining Bonus

Process Details:

• Round 1: MCQ (Aptitude & Technical), duration: 90 minutes
• Round 2: Programming test for shortlisted candidates, duration: 90 minutes (CS/IT Students only)
• Round 3: Group Discussion and Personal interview for shortlisted candidates

*All rounds are video proctored. Any slightest attempt to copy results in immediate disqualification. Candidate's chances of getting selected is much higher if they follow the process honestly, even highly meritorious candidates will lose their chance immediately if they adopt any dishonest practice.