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State Street

Holds assets for institutions and runs index funds

ETL Developer

Data EngineeringConfirmed live in the last 24 hours
Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

  • Strong hands-on experience with Snowflake Data Cloud, including advanced Snowflake SQL and data transformation.
  • Experience working with Snowflake tables, views, stages, file formats, and data-loading patterns.
  • Understanding of Snowflake performance optimization and warehouse/resource management.
  • Experience troubleshooting large-volume data-processing workloads.
  • Strong hands-on development experience with dbt, including reusable models, sources, staging and transformation models, incremental models, and macros/Jinja.
  • Understanding of Azure-based data engineering architecture and experience building or supporting automated ingestion and orchestration workflows.
  • Strong SQL development and performance-tuning skills.
  • Experience handling high-volume datasets and complex transformations.
  • Understanding of data modeling and data-quality validation.

Responsibilities

  • Design, develop, and maintain scalable data pipelines using Snowflake, Azure, and dbt.
  • Develop complex data transformations and business logic using dbt models and advanced SQL.
  • Build and optimize Snowflake objects, including databases, schemas, tables, views, and other data-processing components.
  • Develop data ingestion and integration solutions to load data from multiple upstream systems into the Snowflake platform.
  • Implement incremental processing, reusable transformation models, and dependency-driven workflows using dbt.
  • Develop automated data-quality checks, reconciliation, and validation controls to ensure reporting data is complete and accurate.
  • Optimize SQL queries and Snowflake workloads for performance, scalability, and efficient resource utilization.
  • Work with Azure-based data services and orchestration frameworks supporting ingestion, transformation, and downstream delivery.
  • Troubleshoot data-quality, pipeline, and production-processing issues and perform root-cause analysis.
  • Support development, testing, release, and production implementation activities.
  • Work with business analysts, application teams, and downstream reporting teams to translate requirements into technical solutions.
  • Maintain technical documentation covering data flows, transformations, dependencies, and operational procedures.
  • Use Git-based version control, code review, and CI/CD practices for dbt and data engineering components.
  • Participate in production support and ensure timely resolution of batch and data-processing failures.

About the Company

State Street

Holds assets for institutions and runs index funds

State Street holds and services investments for pension funds, insurers, fund companies, and other large institutions, and it also runs index funds through State Street Investment Management. It launched the first US-listed exchange-traded fund, the SPDR S&P 500 ETF Trust, in 1993, and in 1924 it became custodian of the first US mutual fund. As a custody bank, it safekeeps clients' stocks and bonds, completes their trades, calculates what their funds are worth, and lends their securities to other investors. It earns fees on the assets it services and manages, plus income from currency trading and from interest on client cash. State Street traces its roots to a bank chartered in 1792 and is based in Boston, Massachusetts.

Company size
10,001+
Company stage
IPO
Headquarters
Boston, MA
Founded
1792

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