Data Engineer

Compunnel Software Group, Inc.

Tech stack –( Bigdata , Spark , Python/ Scala , Pyspark , SQL Preferably Streaming projects, AWS preferred or any other cloud technology ) .

Data eng / Sr. Data engineer/ Tech lead – Bangalore ( Bigdata , Spark , Python , Pyspark , SQL Preferably Streaming projects, AWS preferred or any other cloud )

• MS/BS in Computer Science, or related technical discipline

• 3+ years of industry experience, 2+ years of relevant big data experience

• Strong programming experience, Python , pyspark , Scala preferred

• Experience working with Big Data streaming services such as Kinesis, Kafka, etc.

• Experience working with NoSQL data stores such as HBase, DynamoDB, etc.

• Experience building domain-driven Microservices

• Experience provisioning RESTful API’s to enable real-time data consumption

• Experience in Python or Java

• Experience working with Hadoop and Big Data processing frameworks (Spark, Hive, Nifi, Spark-Streaming, Flink, etc.)

• Experience with SQL and SQL Analytical functions

• Experience participating in key business, architectural and technical decisions

• Experience designing, estimating and executing for complex software projects

• Experience providing guidance and mentoring junior engineers

These are the characteristics that we strive for in our own work. We would love to hear from candidates who embody the same:

• Desire to work collaboratively with your teammates to come up with the best solution to a problem

• Demonstrated experience and ability to deliver results on multiple projects in a fast-paced, agile environment

• Excellent problem-solving and interpersonal communication skills

• Strong desire to learn and share knowledge with others

• Experience

  3 - 9 Years

• No. of Openings

  15

• Education

  B.C.A, Professional Degree

• Role

  Data Engineer

• Industry Type

  IT-Hardware & Networking / IT-Software / Software Services

• Gender

  [ Male / Female ]

• Job Country

  India

• Type of Job

  Full Time

• Work Location Type

  Work from Home