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Senior Data Engineer

2 weeks ago

Pune, Maharashtra, India Vivid Edge Corp Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Role : Senior Data Engineer
Location : Pune Onsite

Full time permanent position with Vivid Edge Corp.

We have 2 positions Open (Jr 4 yrs exp & Sr. 6 yrs+ exp).

Note :
For Senior role At least 6+ years of development experience as Data :

  • Development, maintenance, and enhancement of Data Pipelines (ETL/ELT) and processes with thorough knowledge of star/snowflake schemas.
  • Developing complex SQL queries and SQL optimization.
  • Development experience must be full Life Cycle experience including business requirements gathering, data sourcing, testing/data reconciliation, and deployment within Business Intelligence/Data Warehousing Architecture.
  • Designing and implementing data security.
  • Monitoring and optimizing data storage and data processing.
  • Use of Object function/object-oriented scripting languages including Scala, C++, Java and Python.
  • Cloud data warehouse and data lake platforms (e.g. BigQuery, MS Synapse, MS ADLS, Apache Haddop, etc.
  • Developing data services that are fit for purpose, resilient, scalable, and future proof, to meet user needs.
  • Advanced SQL knowledge and experience working with relational databases and working familiarity with various databases.
  • Demonstrated understanding and experience using software and tools including ETL, relational SQL and NoSQL databases, big data tools like Kafka, Spark, and Hadoop.
  • Experience building and optimizing big data data pipelines, architecture, and data sets.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Strong analytic skills related to working with unstructured datasets.
  • Experience and knowledge of project management best practices and agile software development methodologies.
  • A successful history of manipulating, processing, and extracting value from large, disconnected datasets.
  • Working knowledge of message queuing, stream processing, and highly scalable big data data stores.
  • Strong project management and organizational skills.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • Understanding of data science concepts.
  • Familiarity with AI/ML frameworks and libraries.

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