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Technical Business Analyst/Technical Documentation Specialist; Data Engineering
Job Description & How to Apply Below
Location: Bengaluru
Role Overview We are seeking an experienced Technical Business Analyst with strong expertise in documenting complex data engineering, data management, and cloud-based solutions . This role requires the ability to translate deep technical concepts into clear, comprehensive, and user-friendly documentation for engineering, data, and business stakeholders.
The ideal candidate will have hands-on understanding of Snowflake, Python, SQL, and modern data ecosystems , and will work closely with engineering teams to document end-to-end data solutions.
Key Responsibilities Develop, organize, and maintain high-quality technical documentation , including:
Requirements documents (created via code reverse engineering )
Architecture documents
Data flow diagrams and process flows
Collaborate with engineering teams to understand solution design and translate it into accurate documentation.
Document all phases of the Software Development Lifecycle (SDLC) for Snowflake and data engineering solutions.
Create and maintain version-controlled documentation using Git-based workflows.
Ensure documentation adheres to internal standards for clarity, consistency, completeness, and usability .
Independently understand Snowflake and Python code to extract functional and technical details.
Work closely with Snowflake engineers to understand features, workflows, and process logic.
Identify gaps in documentation, clarify technical requirements, and keep content updated as systems evolve.
Support incident reviews by documenting root cause analysis (RCA), fixes, and preventive actions.
Manage multiple documentation deliverables in a fast-paced environment .
Required Skills & Experience 5+ years of experience as a Technical Writer, Technical Business Analyst, or Data Documentation Specialist supporting engineering teams.
Strong ability to translate complex technical concepts into clear and concise documentation .
Hands-on knowledge of:
Snowflake : data warehouse concepts, virtual warehouses, SQL, stages, tasks, Snowpark, data pipelines
Python : basic scripting, understanding data processing and transformation logic
SQL : complex queries and analytical functions
Strong familiarity with cloud data engineering workflows , including:
ETL/ELT pipelines
Orchestration tools (Airflow, Automic, or similar)
Metadata management and data lineage concepts
Ability to read and interpret code and SQL queries to produce accurate technical documentation.
Experience with collaboration and documentation tools such as Git, Confluence, and Jira .
Excellent communication skills, strong attention to detail, and a collaborative mindset.
Preferred Skills Experience documenting solutions in Omni-channel, Pharma, or other regulated environments .
Understanding of data governance, data quality, lineage, and security frameworks .
Ability to create visual documentation , including:
Architecture diagrams
Process and data flow diagrams
Data lineage maps
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