Lead Big Data Engineer

S&P Global
Hyderabad
Workplace: OnsiteFull timeFunction: Administration & Executive AssistanceExperience: 8+ yearsSkills: ["Cross-functional communication","Problem-solving","Analytical rigor"]

Design and develop scalable data processing pipelines and ETL workflows for large-scale enterprise datasets. Build data-intensive applications and services on cloud analytics platforms, including real-time stream processing to support business-critical operations. Collaborate with cross-functional teams to translate complex requirements into robust technical solutions, and provide production support and troubleshooting to ensure high availability and performance.

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FursaFursa
S&P Global
S&P Global
1 month ago

Lead Big Data Engineer

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 21 days agoStatus: Live

Job Summary

Design and develop scalable data processing pipelines and ETL workflows for large-scale enterprise datasets. Build data-intensive applications and services on cloud analytics platforms, including real-time stream processing to support business-critical operations. Collaborate with cross-functional teams to translate complex requirements into robust technical solutions, and provide production support and troubleshooting to ensure high availability and performance.
Location: Hyderabad
Workplace: Onsite
Employment Type: Full time
Job Function: Administration & Executive Assistance
Seniority: Mid level

Key Responsibilities

  • •Design and develop scalable data processing pipelines using distributed computing frameworks for large-scale enterprise datasets.
  • •Build and maintain ETL processes to extract, transform, and load data into information products that support organizational goals.
  • •Develop data-intensive applications and services using modern programming languages and cloud-based analytics platforms.
  • •Implement stream processing solutions for real-time data processing to support business-critical operations.
  • •Provide production support and troubleshooting for data systems to ensure high availability and performance.

Pay and Benefits

Perks:Health InsurancePaid LeaveLearning BudgetRetirement

Key Requirements

  • •8+ years of hands-on experience in technology application development and production support.
  • •6+ years developing data pipelines that use Python, Scala, or Java for ETL and data processing.
  • •3+ years developing and supporting ETL processes using cloud-based analytics platforms such as Databricks, Snowflake, or Azure Synapse.
  • •Experience building data-intensive applications using technologies including C#, Java, Python, Scala, and SQL.
  • •Proficiency with cloud computing environments such as AWS, Azure, or Google Cloud Platform.
Experience:8+ yearsEnterprise dataDistributed computingETLCloud analyticsStream processing
Skills:Cross-functional communicationProblem-solvingAnalytical rigor
Tech Stack:PythonScalaJavaC#SQLDatabricksSnowflakeAzure SynapseAWSAzureGoogle Cloud PlatformApacheApache PulsarAmazon KinesisApache SparkDaskHadoop MapReduceApache NiFiTalendInformatica

Company Brief

S&P Global
Provides financial information, analytics, benchmarks, and credit ratings to markets and institutions worldwide, offering data, research, indices, and risk assessment tools across the financial services and commodities sectors.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York, United States
Founded: 1917
WebsiteLinkedIn