Data Platform Engineer

2K
Bengaluru
Workplace: OnsiteFull timeFunction: DevOps, Cloud & InfrastructureExperience: 6+ yearsEducation: bachelorsSkills: ["Problem-solving","Collaboration","Strategic thinking","Innovation","Efficiency"]

Design and evolve the core architectural foundation of the data ecosystem to enable self-service analytics across the organization. Build and optimize data platform components such as Snowflake, Databricks, Kafka, and AWS S3 data lakes, while scaling streaming telemetry for low-latency analytics. Develop Data-as-a-Service capabilities, improve distributed processing with Spark/PySpark, and implement secure RBAC and interoperability standards for a single source of truth.

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FursaFursa
2K
2K
3 months ago

Data Platform Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live
Reposted: similar role first listed 2 months ago

Job Summary

Design and evolve the core architectural foundation of the data ecosystem to enable self-service analytics across the organization. Build and optimize data platform components such as Snowflake, Databricks, Kafka, and AWS S3 data lakes, while scaling streaming telemetry for low-latency analytics. Develop Data-as-a-Service capabilities, improve distributed processing with Spark/PySpark, and implement secure RBAC and interoperability standards for a single source of truth.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Lead the design, implementation, and optimization of core data platform components including Snowflake, Databricks, and AWS S3 data lakes.
  • •Manage and scale high-throughput streaming systems using Kafka or Kinesis for real-time telemetry and low-latency analytics.
  • •Develop Data-as-a-Service (DaaS) features that let business units and studios onboard data and manage access with minimal friction.
  • •Optimize Spark and PySpark applications for performance and cost-efficiency across large distributed clusters.
  • •Design and automate granular access control models (RBAC) and ensure interoperability between platforms to maintain a single source of truth.

Pay and Benefits

Perks:Health InsurancePaid LeaveChildcareGym Membership

Key Requirements

  • •6+ years of professional experience in data platform or distributed systems engineering in high-volume environments.
  • •Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
  • •Strong proficiency in SQL and Python, with expert knowledge of big data processing frameworks like Spark.
  • •Deep experience with AWS services (S3, EKS, IAM, SNS/SQS) and working knowledge of Snowflake or Databricks.
  • •Experience building or extending workflow orchestration platforms like Apache Airflow and strong data modeling knowledge (Kimball, Inmon, Data Vault).
Experience:6+ yearsGamingDistributed systemsBig dataData platforms
Education:Bachelor's in Computer Science, Engineering, or a related technical field
Skills:Problem-solvingCollaborationStrategic thinkingInnovationEfficiency
Languages:English
Tech Stack:SnowflakeDatabricksKafkaKinesisAWSS3EKSIAMSNSSQSSparkPySparkApache IcebergSQLPythonApache AirflowTerraformMonte CarloDataHubSoda

Company Brief

2K
2K is a video game publisher and developer known for sports, action, and strategy franchises such as NBA 2K, WWE 2K, Borderlands, and Sid Meier’s Civilization. It operates as a major label within Take-Two Interactive.
Industry: Gaming
Company Size: Large (251 to 1,000 employees)
Growth: Established Company
Headquarters: Novato, United States
Founded: 2005
WebsiteLinkedIn