Scala Spark Developer
Capgemini
Scala Spark Developer
Job Description
Scala Spark Developer
📋 Job Overview
As a Senior Scala Spark Developer at Capgemini, you will contribute to high-impact data engineering projects using Scala, Spark, and HDFS platforms. The role involves hands-on development, data analysis, profiling, and lineage in an Agile environment. This position offers opportunities to work in a dynamic, innovative setting with a focus on technology-driven solutions for leading organizations.
📍 Location: Navi Mumbai
💼 Experience Level: Experienced Professionals
🏢 Business Unit: I and D Global Business Line
🎯 Key Responsibilities
- Develop and maintain applications using Scala and Spark
- Handle data processing with SQL on DB2 databases
- Work with diverse file formats including JSON, Parquet, AVRO, ORC, and XML
- Contribute to HDFS platform development
- Perform data analysis, profiling, and lineage tasks
- Collaborate in Agile project environments
✅ Required Qualifications
- 3+ years of experience in Scala with strong project track record
- Hands-on experience in Scala/Spark development
- Hands-on SQL writing skills on RDBMS (DB2) databases
- Experience in working with different file formats like JSON, Parquet, AVRO, ORC, and XML
- Must have worked in a HDFS platform development project
- Proficiency in data analysis, data profiling, and data lineage
- Experience working in Agile projects
🛠️ Required Skills
- Scala
- Spark
- SQL
- DB2
- JSON
- Parquet
- AVRO
- ORC
- XML
- HDFS
- Data analysis
- Data profiling
- Data lineage
- Agile methodologies
- Strong oral and written communication skills
🎁 Benefits & Perks
- Range of career paths and internal opportunities with personalized career guidance
- Comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage, and new parent support via flexible work
- Access to industry's largest digital learning platform with 250,000+ courses and numerous certifications
- Inclusive environment where people of all backgrounds feel encouraged and valued
Locations
- Navi Mumbai, India
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Scalaintermediate
- Sparkintermediate
- SQLintermediate
- DB2intermediate
- JSONintermediate
- Parquetintermediate
- AVROintermediate
- ORCintermediate
- XMLintermediate
- HDFSintermediate
- Data analysisintermediate
- Data profilingintermediate
- Data lineageintermediate
- Agile methodologiesintermediate
- Strong oral and written communication skillsintermediate
Required Qualifications
- 3+ years of experience in Scala with strong project track record (experience)
- Hands-on experience in Scala/Spark development (experience)
- Hands-on SQL writing skills on RDBMS (DB2) databases (experience)
- Experience in working with different file formats like JSON, Parquet, AVRO, ORC, and XML (experience)
- Must have worked in a HDFS platform development project (experience)
- Proficiency in data analysis, data profiling, and data lineage (experience)
- Experience working in Agile projects (experience)
Responsibilities
- Develop and maintain applications using Scala and Spark
- Handle data processing with SQL on DB2 databases
- Work with diverse file formats including JSON, Parquet, AVRO, ORC, and XML
- Contribute to HDFS platform development
- Perform data analysis, profiling, and lineage tasks
- Collaborate in Agile project environments
Benefits
- general: Range of career paths and internal opportunities with personalized career guidance
- general: Comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage, and new parent support via flexible work
- general: Access to industry's largest digital learning platform with 250,000+ courses and numerous certifications
- general: Inclusive environment where people of all backgrounds feel encouraged and valued
Tags & Categories
Scala Spark Developer
Capgemini
Scala Spark Developer
Job Description
Scala Spark Developer
📋 Job Overview
As a Senior Scala Spark Developer at Capgemini, you will contribute to high-impact data engineering projects using Scala, Spark, and HDFS platforms. The role involves hands-on development, data analysis, profiling, and lineage in an Agile environment. This position offers opportunities to work in a dynamic, innovative setting with a focus on technology-driven solutions for leading organizations.
📍 Location: Navi Mumbai
💼 Experience Level: Experienced Professionals
🏢 Business Unit: I and D Global Business Line
🎯 Key Responsibilities
- Develop and maintain applications using Scala and Spark
- Handle data processing with SQL on DB2 databases
- Work with diverse file formats including JSON, Parquet, AVRO, ORC, and XML
- Contribute to HDFS platform development
- Perform data analysis, profiling, and lineage tasks
- Collaborate in Agile project environments
✅ Required Qualifications
- 3+ years of experience in Scala with strong project track record
- Hands-on experience in Scala/Spark development
- Hands-on SQL writing skills on RDBMS (DB2) databases
- Experience in working with different file formats like JSON, Parquet, AVRO, ORC, and XML
- Must have worked in a HDFS platform development project
- Proficiency in data analysis, data profiling, and data lineage
- Experience working in Agile projects
🛠️ Required Skills
- Scala
- Spark
- SQL
- DB2
- JSON
- Parquet
- AVRO
- ORC
- XML
- HDFS
- Data analysis
- Data profiling
- Data lineage
- Agile methodologies
- Strong oral and written communication skills
🎁 Benefits & Perks
- Range of career paths and internal opportunities with personalized career guidance
- Comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage, and new parent support via flexible work
- Access to industry's largest digital learning platform with 250,000+ courses and numerous certifications
- Inclusive environment where people of all backgrounds feel encouraged and valued
Locations
- Navi Mumbai, India
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Scalaintermediate
- Sparkintermediate
- SQLintermediate
- DB2intermediate
- JSONintermediate
- Parquetintermediate
- AVROintermediate
- ORCintermediate
- XMLintermediate
- HDFSintermediate
- Data analysisintermediate
- Data profilingintermediate
- Data lineageintermediate
- Agile methodologiesintermediate
- Strong oral and written communication skillsintermediate
Required Qualifications
- 3+ years of experience in Scala with strong project track record (experience)
- Hands-on experience in Scala/Spark development (experience)
- Hands-on SQL writing skills on RDBMS (DB2) databases (experience)
- Experience in working with different file formats like JSON, Parquet, AVRO, ORC, and XML (experience)
- Must have worked in a HDFS platform development project (experience)
- Proficiency in data analysis, data profiling, and data lineage (experience)
- Experience working in Agile projects (experience)
Responsibilities
- Develop and maintain applications using Scala and Spark
- Handle data processing with SQL on DB2 databases
- Work with diverse file formats including JSON, Parquet, AVRO, ORC, and XML
- Contribute to HDFS platform development
- Perform data analysis, profiling, and lineage tasks
- Collaborate in Agile project environments
Benefits
- general: Range of career paths and internal opportunities with personalized career guidance
- general: Comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage, and new parent support via flexible work
- general: Access to industry's largest digital learning platform with 250,000+ courses and numerous certifications
- general: Inclusive environment where people of all backgrounds feel encouraged and valued
Tags & Categories