Data/ETL Engineer (Bengaluru)

Data/ETL Engineer (Bengaluru)

17 Sep
|
Ascendion
|
Bengaluru

17 Sep

Ascendion

Bengaluru

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 agile 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

📌 Data/ETL Engineer (Bengaluru)
🏢 Ascendion
📍 Bengaluru

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