Senior Data Engineer

Job Title: Senior Data Engineer

Client: SalesIntel

Location: Remote (India)

Work Mode: Remote

Experience: 6+ years

CTC: ₹25–35 LPA

Education: Bachelor's in Engineering, Computer Science, or related field

Shift: 11:00 AM – 8:00 PM IST

Working Days: 5 days/week

Notice Period: Immediate to 30 days preferred

What You’ll Be Doing

• Design and build parts of our data pipeline architecture for extraction, transformation, and loading of data from a wide variety of data sources using the latest Big Data technologies.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Work with machine learning, data, and analytics experts to drive innovation, accuracy and greater functionality in our data system.
  
  

Qualifications

• Bachelor's degree in Engineering, Computer Science, or relevant field.
• 3+ years of relevant and recent experience in a Data Engineer role.
• 3+ years recent experience with Apache Spark and solid understanding of the fundamentals.
• Deep understanding of Big Data concepts and distributed systems.
• Strong coding skills with Scala, Python, Java and/or other languages and the ability to quickly switch between them with ease.
• Advanced working SQL knowledge.
• Cloud Experience with DataBricks.
• Strong understanding of Delta Lake architecture and working with Parquet, JSON, CSV, and similar formats.
• Comfortable working in a linux shell environment and writing scripts as needed.
• Comfortable working in an Agile environment.
• Machine Learning knowledge is a plus.
• Must be capable of working independently and delivering stable, efficient and reliable software.
• Excellent written and verbal communication skills in English.
• Experience supporting and working with cross-functional teams in a dynamic environment.