Technical Specialist – Data Engineering

Birlasoft

Technical Specialist in Data Engineering at Birlasoft, focusing on data processing and reporting responsibilities in Cloud and AI technologies.

Posted 7/14/2026full-timeBengaluru • 🇮🇳 IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Engineering and Reporting, with proficiency in PySpark and Palantir Foundry for data processing and management. Strong ability to design and implement data models while converting business problems into technical solutions.

Highest-signal resume keywords

Data EngineeringPySpark ProficiencyPalantir Foundry ApplicationsData Model DesignFinancial Reporting Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData ProcessingData ManagementData Model DesignData AnalysisHadoop FamiliaritySpark OptimizationTechnical ImplementationQuantitative AnalysisValuation Standards

Tools & Technologies

Palantir FoundryPySparkHadoopSpark

Industry Keywords

Financial ReportingIFRS17Data Health ChecksContourQuantitative Field

Tech Stack

Tools & technologies

HadoopPySparkSpark

About the role

Key responsibilities & impact

Area(s) of responsibility
Key Responsibilities: Education: Bachelor’s or master’s degree in computer science, Information Systems, or equivalent experience.

Requirements

What you’ll need

Overall, 4 to 6 years of working experience in data engineering and reporting
Proficiency in PySpark for data processing and management
Proficiency in Palantir Foundry & its applications (building pipeline using code-repository, creating data-health Checks & Expectations, data analysis in Contour)
Familiarity with Hadoop and Spark along with optimizing spark-based pipelines
Data Model Design and implementation based on the requirements
Able to convert the business problem / situation into technical implementation
Familiarity with Financial Reporting & Valuations (like IFRS17) is an advantage
University degree (equivalent) in quantitative field (e.g. Mathematics, Statistics, Operations Research, Industrial engineering, Computer Science Engineering, Econometrics or Information Technology)

Benefits

Comp & perks

Educational Background – Bachelor's degree in Computer Science, Information Technology, or related field.