Vivid Edge Corp - Senior Data Engineer - ETL

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.

(ref : hirist.tech)