Data Science & Engineering

Java Spark Big Data Engineer

Preferable Location(s): Pune, India
Work Type: Full Time

You will work on: 


We help many of our clients make sense of their large investments in data – be it building analytics solutions or machine learning applications. You will work on cutting edge cloud-native technologies to crunch terabytes of data into meaningful insights. 

 


What you will do (Responsibilities):


  • Collaborate with product management & engineering to build highly efficient data pipelines for large datasets.
  • Perform Data quality analysis on disparate data sources and define, implement data quality rules
  • Design and develop data models analyzing end to end data requirements
  • Troubleshooting data loss, data inconsistency, and other data-related issues
  • Product development environment delivering stories in a scaled agile delivery methodology.


What you bring (Skills):


  • 2-5 year of experience in hands-on data engineering & medium scale distributed applications
  • Good experience in object-oriented programming languages such as Java or Scala
  • Sound experience in RDBMS such as MySQL, Oracle, SQLServer, etc and.or Cloud appliances as Snowflake, Redshift, BigQuery, Azure Synapse etc.
  • Experience in big data processing technologies such as Hadoop, Spark, Kafka, Databricks, etc.
  • Experience in Cloud-based services such as Amazon AWS, Microsoft Azure, or Google Cloud Platform
  • Experience in developing and deploying applications in Linux OS
  • Experience with Scrum and/or other Agile development processes
  • Strong analytical and problem-solving skills
  • Team player with self-drive to work independently
  • Strong communication and interpersonal skills


Great if you know (Skills):


  • Some exposure to containerization technologies such as Docker, Kubernetes, or Amazon ECS/EKS
  • Some exposure to NoSQL data stores such as Couchbase, Solr, etc.
  • Some exposure to Perl, or shell scripting or orchestration tools like Airflow
  • Ability to learn new technologies on his/her own, perform POCs

 

Advantage Cognologix:


  • A higher degree of autonomy, startup culture & small teams
  •  Opportunities to become an expert in emerging technologies
  •  Remote working options for the right maturity level
  •  Competitive salary & family benefits
  •  Performance based career advancement



About Cognologix:


Cognologix helps companies disrupt by reimagining their business models and innovate like a Startup. We are at the forefront of digital disruption and take a business-first approach to help meet our client’s strategic goals.



We are a Data focused organization helping our clients to deliver their next generation of products in the most efficient, modern, and cloud-native way.

Minimum Experience:
2 years
 
Top Skill:
Hadoop, Spark, Databricks, Hive, Kafka, Flink, Java / Scala, SQL, Snowflake, Redshift, BigQuery, Synapse
 

Submit Your Application

You have successfully applied
  • You have errors in applying