Data & Automation Engineer

teamtailor

Bengaluru, India 2 Years Exp Posted 1h ago

Job Description

  • Database Design: Design and maintain relational databases (PostgreSQL) for internal reporting and client projects

  • Pipeline Development: Build and operate ETL/ELT pipelines in Python to ingest data from diverse sources - APIs, SFTP, cloud exports, and third-party systems

  • Data Integration: Connect and integrate multiple data sources into unified data platforms (e.g., ERP systems, CRMs, accounting tools)

  • SQL Optimization: Write and optimize complex SQL queries for data transformation and reporting use cases

  • Dashboard Support: Support dashboard backends for Power BI and custom reporting tools

  • Finance Collaboration: Work closely with finance consultants to structure financial data and improve reporting efficiency

What we are looking for…

  • Database Development: 2–3 years of hands-on experience in SQL database development (PostgreSQL, MySQL, or similar) including schema design, indexing, and query optimization

  • Python Engineering: Strong Python skills for data engineering — building pipelines, API integrations, and automation workflows

  • Data Ingestion: Hands-on experience ingesting data from diverse sources: REST APIs, databases, and cloud platforms

  • Infrastructure Comfort: Comfortable working with command line, Linux environments, and containerized workflows (Docker)

  • Data Wrangling: Ability to structure and clean messy financial or operational data from heterogeneous sources

  • Development Practices: Familiarity with version control (Git) and CI/CD pipelines

  • Language: Fluent English - written and spoken

  • Work Style: Independent, quality-driven approach with hands-on mentality

Desirable (but not required):

  • Familiarity with Power BI for reporting and dashboard development

Benefits and perks…

  • Professional Growth: Work on projects that transform companies while developing your own career

  • Development Opportunities: Genuine personal and professional growth pathways in data engineering

  • Client Impact: Build data systems that directly improve business reporting and decision-making

    • Collaborative Environment: Work alongside finance consultants and technical teams in a performance-driven culture

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