Data Engineer

Responsibilities

• Transform raw data into meaningful insights to help organizations make informed decisions.
• Translate between complex data and actionable business strategies.
• Collect data from various sources (e.g., databases, PDF's ,dataware house)
• Cleans and prepares the data to ensure accuracy and consistency
• Analyzes trends and patterns using statistical tools and programming
• Visualizes findings through charts, dashboards, or reports
• Communicates insights to stakeholders to support decision-making
• Build and maintain scalable data pipelines and ETL workflows using Databricks
• Integrate AI capabilities into business applications using APIs or custom/ OOTB solutions
• Collaborate with cross-functional teams to translate business needs into data-driven solutions
• Ensure data quality, governance, and compliance across platforms

Qualifications

• 8+ years of experience in data analytics, business intelligence, or data science
• Proficiency in SQL, Excel, Python or R, Power BI
• Strong understanding of data modeling, ETL processes, and cloud platforms (e.g., Azure, AWS, GCP)
• Experience with predictive analytics, statistical modeling,Statistics, critical thinking, problem-solving
• Strong experience with Databricks,Copilot
• Excellent communication and stakeholder management skills
• Bachelors or Master’s degree in Data Science, Statistics, Computer Science, or related field
• Create dashboards and visualizations using Power BI, Tableau, or similar tools
• Experience with LLMs or generative AI

Good to have

• Experience in a leadership or cross-functional analytics role
• Familiarity with AI/ML frameworks and big data tools
• Specialized knowledge in engine-focused R&D, engineering, and manufacturing domains.
• Certifications in Databricks, cloud platforms, or data engineering.
• Passion for innovation and continuous learning