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Data Engineer - DaAI

Infosys
Bengaluru, India
Fresher
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  • Posted 2 days ago
  • Over 50 applicants

Job Description

  • Working knowledge of data pipeline development using PySpark, Apache Spark, Airflow, dbt, Dagster, or equivalent technologies.
  • Experience working with structured data from databases, APIs, enterprise applications, data lakes, warehouses, or lakehouse platforms.
  • Exposure to cloud data platforms such as Databricks, Snowflake, BigQuery, Azure Data Lake, AWS S3, Google Cloud Storage, or equivalent platforms.
  • Understanding of data modelling, schema design, joins, keys, relationships, data validation, and data quality concepts.
  • Practical experience with data profiling, cleansing, transformation, and reconciliation.
  • Familiarity with Git, CI/CD basics, unit testing, and production-grade engineering practices.
  • Build and maintain data ingestion pipelines for structured enterprise systems such as ERP, CRM, billing, finance, HR, OSS/BSS, ServiceNow, Salesforce, SAP, Oracle, databases, and APIs.
  • Build pipelines for unstructured and semi-structured data sources such as documents, emails, logs, transcripts, PDFs, spreadsheets, and media metadata.
  • Develop ETL/ELT workflows using Python, SQL, PySpark, Apache Spark, Airflow, dbt, Dagster, cloud-native services, or equivalent technologies.
  • Support data profiling routines to identify missing values, duplicates, inconsistent formats, incomplete master data, schema changes, and conflicting records.
  • Implement data quality checks using frameworks such as Great Expectations, dbt tests, AWS Glue DataBrew, custom validation scripts, or equivalent tools.
  • Support data labelling, contextualization, harmonization, enrichment, and classification workflows required for AI agent configuration.
  • Prepare data outputs for downstream AI consumption, including embeddings, metadata, semantic tags, graph-ready datasets, and retrieval-ready document chunks.

More Info

Job Type:
Permanent Job
Industry:
Other
Function:
Data Engineering
Employment Type:
Full time

About Company

Infosys

Job ID: 151005919

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Last Updated: 09-07-2026 07:18:34 PM
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snowflake , Pyspark, AWS Glue, Rdf, Neo4j, Python, BigQuery, Apache Spark, Sql, Databricks, Airflow, GraphDB, pgvector, Great Expectations, Pinecone, Flink, Cypher, Chroma, DataBrew, owl, Stardog, Dagster, dbt, Milvus, Weaviate, Apache Jena