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Confirmed on the employer's own hiring board on Sep 25, 2026. First seen by Alion on Sep 15, 2026. Ascendion scores B on the Alion truth index.

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Ascendion is an American technology services company created in 2022 when Collabera's digital engineering business was separated under private equity ownership and rebranded. It builds software, data platforms and applied artificial intelligence for enterprise clients across financial services, healthcare, retail, technology and communications, and it markets itself around engineering delivery accelerated by its own artificial intelligence tooling rather than around headcount. Headquartered in Basking Ridge, New Jersey with its largest delivery base in India, it employs several thousand engineers across North America, Europe and Asia.

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:

1. Programming

  • Python - mandatory
  • SQL - advanced
  • Bash/Linux
  • Familiarity with REST APIs and JSON

2. 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

3. 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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