Senior Big Data Engineer
5 days ago
Job Title: Senior Big Data EngineerLocation: Remote / Hybrid (Preferred timezone overlap with [your region])
Type: Full-time / ContractAbout the ProjectWe're building an intelligent data pipeline that brings SAP AO (Analysis Office) data into a central database, which will serve as the foundation for an AI-powered chatbot. This chatbot will help users interact with complex enterprise data through natural language queries.We already have a data science team in-house. What we need now is a Big Data Engineer who can own the data extraction, transformation, and storage process from SAP AO to a scalable, queryable data layer.Key Responsibilities
- Design, build, and manage data pipelines to extract, transform, and load (ETL/ELT) data from SAP AO (and related SAP systems such as BW or HANA) into a database or data warehouse.
- Ensure data quality, consistency, and completeness during the migration process.
- Set up a data lake or data warehouse (e.g., BigQuery, Snowflake, Redshift, or Azure Synapse) optimized for large-scale analytical queries.
- Work closely with data scientists to prepare data for downstream AI and analytics use cases, including chatbot and natural language query systems.
- Implement data modeling, partitioning, and indexing strategies for performance optimization.
- Automate and monitor ETL pipelines using tools such as Apache Airflow, AWS Glue, Databricks, or similar orchestration frameworks.
- Collaborate with AI/ML engineers to enable embedding and semantic search pipelines (RAG architecture).
- Ensure compliance with data governance, access control, and security best practices.
Required Skills & Experience
- 5+ years of experience as a Big Data Engineer / Data Engineer.
- Strong experience in ETL/ELT pipeline design and implementation.
- Hands-on experience with SAP data integration — particularly SAP AO, SAP BW, or SAP HANA data extraction.
- Proficiency in Python / PySpark / SQL.
- Experience with big data frameworks such as Spark, Hadoop, or Databricks.
- Deep understanding of data warehousing concepts (fact/dimension modeling, partitioning, schema design).
- Experience with cloud data ecosystems (AWS, GCP, or Azure).
- Familiarity with data APIs, connectors, or SDKs for SAP.
- Strong problem-solving skills and the ability to work collaboratively with AI and software teams.
Nice-to-Have
- Experience integrating data pipelines with AI/LLM-based systems.
- Knowledge of vector databases (Pinecone, Weaviate, FAISS) or RAG pipelines.
- Exposure to chatbot architecture and natural language query systems.
- Experience setting up CI/CD for data pipelines.
What You'll Work On
- Building a robust bridge between SAP AO data and our internal database.
- Creating a scalable data foundation for AI-driven insights and chatbot experiences.
- Collaborating with data scientists and AI engineers to bring structured enterprise data to life through conversational interfaces.
Job Type: Contract
Pay: ₹ ₹50.00 per hour
Expected hours: 40 per week
Experience:
- Big Data Engineer / Data Engineer.: 5 years (Required)
- ETL/ELT pipeline design and implementation.: 5 years (Required)
- SAP data integration : 3 years (Required)
- Python / PySpark / SQL.: 5 years (Required)
- CI/CD for data pipelines.: 3 years (Required)
- data pipelines with AI/LLM-based systems.: 3 years (Required)
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