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Artificial Intelligence • Information Technology • Software
Design, build, and maintain scalable ETL pipelines and data infrastructure for People Analytics. Use Airflow and dbt to create analytics-ready datasets, implement data quality monitoring, develop optimized data models, and partner with analysts and stakeholders to translate requirements into scalable solutions.
Top Skills:
AirflowAWSDbtPower BIPythonSQLTableauWorkday
Information Technology
Design, build, and optimize scalable Snowflake-based data pipelines and architectures. Implement ETL/ELT processes, ensure security and performance, collaborate with data teams, troubleshoot data issues, and mentor junior engineers while staying current with Snowflake features and cloud technologies.
Top Skills:
AWSAzureData SharingDbtGCPInformaticaMatillionPythonSnowflakeSnowpipeSQLTime Travel
Energy • Renewable Energy
Design, build, and maintain production data pipelines and integrations across applications, databases, and cloud services. Support data architecture, ingestion, embedding workflows for AI, data quality, monitoring, and platform reliability. Collaborate with Full Stack and AI teams to deploy scalable cloud-based data infrastructure and establish data engineering standards and best practices.
Top Skills:
AirflowAws CdkAws Ec2Aws EventbridgeAws GlueAws IamAws LambdaAws RdsAws S3Aws Step FunctionsBigQueryCi/CdContainerizationDbtDockerEmbedding PipelinesEvent-Driven ArchitecturesGitGitPandasPolarsPostgisPostgresPythonRag ArchitecturesRedshiftSnowflakeSQLTerraformVector Databases
Data Engineers design and build data systems and pipelines. Responsibilities include developing data processing workflows, optimizing data storage, and ensuring data accuracy. You will collaborate with data scientists and analysts to meet data requirements and resolve data issues. Strong experience in data engineering and problem-solving skills are required.
ResponsibilitiesDesign and implement data pipelines, Optimize data processing and storage, Ensure data solutions meet performance standards, Provide technical support, Collaborate with stakeholders.
QualificationsBachelor Degree
About Us EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit www.exlservice.com.
What you need to know about the Kolkata Tech Scene
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