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Big Data Engineer

5 years

2 Lacs

Posted:6 hours ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Dear Candidate,

Greetings from Quess corp !

  • Total years of exp: 8+ (5+ years of proven experience to design, implement, and maintain scalable data solutions )
  • Skills: Scala (Advanced level), SQL, Spark, Streaming (Spark | Kafka), MongoDB, GCP, Terraform, Spotfire/PowerBI
  • Job Location in INDIA: Pune (preferred/co-location)
  • Shift Timing: 12.00 to 9.30 pm IST

Mandatory Skills: Scala (Advanced level), SQL, Spark, Streaming (Spark | Kafka), MongoDB, GCP
Programming • Scala (Advanced level) and Shell scripting experience.

  • SQL, including writing and optimizing complex queries.
  • Infrastructure as Code: Experience scripting infrastructure changes using Terraform.
  • Python (nice to have).

Process and mindset • Experience working in an Agile/Scrum environment with CI/CD.

  • Maintain high coding standards, be proactive at code reviews, ensuring quality with unit and integration testing.
  • End to end ownership and support of created solutions.
  • Excellent communication skills (spoken and written English).

Data Engineering and Cloud

  • Experience with Apache Spark Structured Streaming and Hadoop.
  • Experience with MongoDB and Parquet, including a solid understanding of data modeling.
  • Strong expertise in Apache Kafka.
  • MongoDB and Parquet, including knowledge about data modelling.
  • Familiarity with Google Cloud services: Big Query and Storage.
  • Familiarity with fundamental data science concepts.
  • Certifications in Google Cloud Platform are nice to have.

Dashboarding & BI Tools Experience with data visualization using BI tools such as Spotfire, PowerBI, or similar

  • Notice Period- 0-30 Days
  • Location- Pune

*

Job Types: Full-time, Permanent

Pay: ₹200,000.00 - ₹240,000.00 per year

Benefits:

  • Cell phone reimbursement
  • Food provided
  • Health insurance
  • Internet reimbursement
  • Leave encashment
  • Life insurance
  • Paid sick time
  • Paid time off
  • Provident Fund

Schedule:

  • Day shift
  • Morning shift
  • Rotational shift

Work Location: In person

Application Deadline: 31/07/2025

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