Job Description
Job Title: Senior Data Engineers (Spark & Scala) x2 headcounts
Location: WFH from India (need to follow Malaysia Timezone)
Contract: Permanent/ 1 Year extendable
Job Description: - Primarily experts of Spark 3.X, SCALA, Delta lake implementation, streaming solution implementation
for IOT in Spark streaming. Kafka expertise.
Any experience with MFG BI, DWH and Datalake implementation would be a bonus.
Job Types: Permanent, Full-time
Salary: ₹1,000,000.00 - ₹2,000,000.00 per year
Schedule:
• Day shift
Experience:
• total work: 8 years (Required)
• Spark: 2 years (Required)
• Scala: 2 years (Required)
• Kafka: 2 years (Required
Location: WFH from India (need to follow Malaysia Timezone)
Contract: Permanent/ 1 Year extendable
Job Description: - Primarily experts of Spark 3.X, SCALA, Delta lake implementation, streaming solution implementation
for IOT in Spark streaming. Kafka expertise.
Any experience with MFG BI, DWH and Datalake implementation would be a bonus.
Job Types: Permanent, Full-time
Salary: ₹1,000,000.00 - ₹2,000,000.00 per year
Schedule:
• Day shift
Experience:
• total work: 8 years (Required)
• Spark: 2 years (Required)
• Scala: 2 years (Required)
• Kafka: 2 years (Required
💡 Quick Summary
Seeking a career-building opportunity? The Senior Data Engineer position is now open for candidates interested in the Work from home Jobs sector. This role in Mumbai offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Work from home Jobs is a plus.
