Description

Job Description:
• Execute assigned components of solution designs handed off by Senior Data Engineers, delivering production-grade code under senior engineer guidance.
• Land source data into the team's unified ingestion framework using the patterns specified in the design.
• Implement assigned data models and transformation logic in Snowflake (including Iceberg tables) and Databricks (Delta Lake, Unity Catalog) per the design.
• Apply medallion (bronze, silver, gold) architecture and the team's engineering standards to all work, including naming conventions, documentation, and code review practices.
• Build assigned components of the semantic layer in Microsoft Fabric (Fabric IQ, OneLake) per the design specifications.
• Build assigned Power BI visualizations and reports following the design specifications and the team's BI standards.
• Implement unit tests, data quality checks, and reconciliation for assigned work.
• Help operate assigned data products after delivery, including monitoring, ing, and incident response coverage during India hours with support from senior engineers.
• Write and maintain documentation including source-to-target mappings, data lineage, data dictionaries, and runbooks for assigned work.
• Contribute to and follow the team's DevOps practices — Git, CI/CD, automated testing, and code review.
• Practice async-first communication discipline — clear written status, decision logs, and well-framed questions that let US-based counterparts respond effectively across the timezone gap.
• Participate actively in design reviews and team discussions during India hours, asking clarifying questions and learning from senior engineers' perspectives.
• Build HR domain context steadily over time — joining business meetings when overlap allows, asking questions, and growing the foundation for future business engagement.
• Collaborate with India and US team members and share what you learn through demos and informal knowledge sharing.

REQUIRED QUALIFICATIONS
• Bachelor's degree in computer science, Software Engineering, Information Management, or equivalent experience in field — plus 1+ years of related work experience, OR equivalent demonstrated experience through internships, bootcamps, or self-directed project work.
• Must be located in India (Hyderabad area preferred).
• 1+ years of hands-on data engineering or software engineering experience, including internships and academic project work that demonstrate production-quality engineering habits.
• Working proficiency in SQL and Python.
• Exposure to Spark (PySpark or Spark SQL) for distributed data transformation, or strong willingness and demonstrated ability to learn it quickly.
• Exposure to cloud data platforms — Databricks, Snowflake, or comparable — with a willingness to develop hands-on depth.
• Familiarity with at least one BI tool (Power BI preferred, Tableau or similar acceptable).
• Understanding of fundamental data engineering concepts — data modeling, ETL/ELT, data quality, source-to-target mapping.
• Familiarity with Git, code review practices, and basic CI/CD concepts.
• Strong written and verbal English communication skills, including the willingness to develop the async writing discipline that distributed delivery requires.
• Strong problem-solving instincts, curiosity, and the discipline to deliver well-defined work to a high standard.
• Eagerness to learn the full vertical from ingestion through visualization, and to take on broader ownership over time.
• Willingness and ability to flex working hours into the US overlap window as needed.
PREFERRED QUALIFICATIONS
• Hands-on coursework, internship, or project experience with Databricks (Delta Lake) or Snowflake at any scale.
• Hands-on coursework, internship, or project experience with Microsoft Fabric, OneLake, or Power BI.
• Exposure to Iceberg tables or other modern open table formats.
• Exposure to HR data domains — talent acquisition, workforce analytics, compensation, learning, performance, or people analytics.
Skills
data engineering, power bi,python,sql

Key Skills

Education

Any Graduate