Data EngineerIndia
Share
Job Location:
Monthly Salary:
Posted on:
25 days ago
Vacancies:
1 Vacancy
Job Summary
Total Years of Experience*
7 Years
Job Description:
Ability to read write speak and understand English
Strong communication and collaboration skills
Expertise in data engineering languages such as Scala (preferred) or Java with proficiency in Python
Experience with Big Data tools particularly Spark and familiarity with Hadoop ecosystems
Proficiency in building and managing ETL pipelines
Experience with cloud platforms like AWS including services such as S3 Lambda Redshift and EMR
Strong understanding of relational databases and SQL and familiarity with NoSQL databases
Knowledge of data architecture data warehousing and data marts
Experience in implementing monitoring solutions and deployment pipelines for data applications
Ability to work with distributed systems and manage data storage solutions
Demonstrated ability and desire to continually expand skill set and learn from and teach others.
Mandatory skills
Data Engineer Python Spark AWS ETL
7 Years
Job Description:
Ability to read write speak and understand English
Strong communication and collaboration skills
Expertise in data engineering languages such as Scala (preferred) or Java with proficiency in Python
Experience with Big Data tools particularly Spark and familiarity with Hadoop ecosystems
Proficiency in building and managing ETL pipelines
Experience with cloud platforms like AWS including services such as S3 Lambda Redshift and EMR
Strong understanding of relational databases and SQL and familiarity with NoSQL databases
Knowledge of data architecture data warehousing and data marts
Experience in implementing monitoring solutions and deployment pipelines for data applications
Ability to work with distributed systems and manage data storage solutions
Demonstrated ability and desire to continually expand skill set and learn from and teach others.
Mandatory skills
Data Engineer Python Spark AWS ETL
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
