Lead & Senior Data Engineers - JG

About The Organization

Join a fast-scaling B2B data intelligence platform that powers revenue growth through precision contact data and advanced data infrastructure. The organization combines automation with human verification to deliver over 95% accuracy across its database of more than 5 million human-verified contacts and 70 million+ machine-processed records. Known for having the highest number of direct dial contacts in the industry, the platform re-verifies every contact every 90 days through a dedicated research team.With a global footprint and a commitment to data excellence, the company supports cross-functional teams with scalable, secure, and high-performance data systems. The work culture is dynamic, inclusive, and growth-orientedoffering paid training programs, performance incentives, wellness benefits, and a collaborative environment that values innovation and continuous improvement.Lead Data Engineer

• Experience: 8+ years
• Key Skills: Scala, PySpark, Apache Spark, Delta Lake, DataBricks, SQL
• Responsibilities:
• Architect and lead the development of scalable data pipelines and platforms
• Mentor data engineering teams and enforce best practices across coding, CI/CD, and governance
• Modernize legacy systems to support ML workloads and advanced analytics
• Drive initiatives for cost optimization, automation, and infrastructure scalability
• Collaborate with product, engineering, and business teams to deliver robust technical solutions
  

Senior Data Engineer

• Experience: 4+ years
• Key Skills: Scala, PySpark, Apache Spark, Delta Lake, DataBricks, SQL
• Responsibilities:
• Build and extend data pipeline architecture for diverse data sources
• Automate manual processes and optimize data delivery
• Support data infrastructure needs across multiple teams and products
• Collaborate with ML, analytics, and engineering teams to enhance data functionality
• Maintain and improve data architecture for next-gen product initiatives
  

What You'll Need

• Bachelor's degree in Engineering, Computer Science, or related field
• Strong coding skills in Scala and/or Python
• Hands-on experience with Apache Spark and distributed systems
• Familiarity with cloud platforms (preferably DataBricks)
• Advanced SQL and experience with data formats like Parquet, JSON, CSV
• Comfort working in Agile environments and Linux shell
• Machine Learning knowledge is a plus
• Excellent communication and independent problem-solving skills
  

Skills: ml workloads,csv,pyspark,agile,json,sql,scala,data engineer,databricks,apache spark,big data,computerized system validation (csv),machine learning,linux shell,automation,data pipelines,data engineering,ci/cd,parquet,python,delta lake,lakehouse,aws,azure,opensearch,spark