Senior Data Engineer

2 weeks ago

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

Senior Data Engineer

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 Engineer.

  1. Development, maintenance, and enhancement of Data Pipelines (ETL/ELT) and processes

with thorough knowledge of star/snowflake schemas

  1. Developing complex SQL queries and SQL optimization

  2. 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.

  1. Designing and implementing data security

  2. Monitoring and optimizing data storage and data processing

  3. Use of Object function/object-oriented scripting languages including Scala, C++, Java and

Python

  1. Cloud data warehouse and data lake platforms (e.g., Snowflake, Databricks, Redshift,

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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