S&P Global

2 weeks ago

Lead Big Data Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours 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

Website LinkedIn

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S&P Global

2 weeks ago

Lead Big Data Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

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

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

Website LinkedIn