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Data/ETL Engineer

Data/ETL Engineer

ascendion
Early Applicant
  • Posted 3 days ago
  • Be among the first 10 applicants

Job Description

About Ascendion India Pvt. Ltd.

  • Ascendion India Pvt. Ltd. is a leading technology company specializing in innovative solutions and services. We are committed to delivering excellence and driving digital transformation for our clients worldwide.
  • Our offices are located in Bangalore, Pune, Chennai, and Hyderabad, offering a dynamic work environment and opportunities for growth.

Job Title: Data/ETL Engineer

  • Design, build, and maintain scalable data pipelines for AI/ML applications.
  • Develop ETL/ELT workflows to ingest data from databases, APIs, files, and streaming systems.
  • Prepare, clean, transform, and validate data for machine learning and Generative AI use cases.
  • Build data platforms and pipelines using Python, SQL, Spark, and cloud technologies.
  • Work with structured and unstructured data, including documents, text, logs, and embeddings.
  • Build and maintain data lakes, data warehouses, and lakehouse architectures.
  • Develop data pipelines for LLM/RAG applications, including document ingestion, chunking, metadata extraction, embedding generation, and vector storage.
  • Integrate AI/ML models and APIs into production data workflows.
  • Implement data quality, governance, security, lineage, and monitoring.
  • Optimize pipeline performance, storage, and cloud costs.
  • Collaborate with Data Scientists, ML Engineers, Software Engineers, and business teams.
  • Deploy and monitor production data/AI pipelines using CI/CD and DevOps practices.

Required Skills

  • Programming
  • Python — mandatory
  • SQL — advanced
  • Bash/Linux
  • Familiarity with REST APIs and JSON
  • Data Engineering
  • ETL/ELT pipeline development
  • Apache Spark / PySpark
  • Apache Airflow or similar orchestration tools
  • Kafka or other streaming technologies
  • Data modeling
  • Data quality and validation
  • Batch and real-time processing
  • Databases & Storage
  • PostgreSQL / MySQL
  • NoSQL databases such as MongoDB
  • Data warehouses: Snowflake, BigQuery, Redshift, or Databricks
  • Data lakes: S3, ADLS, or GCS
  • Parquet and other data formats

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Bengaluru, India
Skills:
PythonSqllarge-scale data processingGCP cloud platformsAI-assisted engineering toolsETL ELT pipeline development