No. Of Position: 4

Experience: 5Y to 10Y

Salary:  Competitive as per market standards

Notice period: Immediate to 30 days

Skills : Azure, ADLS, Kafka, Apache Delta, Databricks/Spark, Hadoop ecosystem, SQL, RDBMS, Data Lakes and Warehouses

Location: Delhi NCR/Pune/Bangalore/Chennai/Hyderabad/Remote

Role & Responsibilities

• Subject matter knowledge in creating data models for corporate analytics that are in compliance with standards, allowing for usability and conformance throughout the enterprise.
• In charge of creating data strategies, vocabulary consistency, and transformations via intricate analytical relationships and access paths, as well as data mappings at the data-field level.
• Collaborate with Product Management and Business stakeholders to ascertain and assess the data sources required to fulfill project and business objectives.
• Collaborate with Tech Leads and Product Architects to comprehend end-to-end data implications, data integration, and functioning business systems.
• Work with DQ Leads, for data integrity improvement/quality resolution so that these improvements are addressed at the source.
• Domain knowledge in supply chain, retail, or inventory management.

Critical Skills to Have:

• Five or more years of experience in the field of information technology ·
• Has a general understanding of several software platforms and development technologies
• Has experience with SQL, RDBMS, Data Lakes, and Warehouses Knowledge of the Hadoop ecosystem, Azure, ADLS, Kafka, Apache Delta, and Databricks/Spark.
• Possessing knowledge of any data modeling tool, such as ERStudio or Erwin, is advantageous.
• Collaboration history with Product Managers, Technology teams, and Business Partners
• Strong familiarity with Agile and DevOps techniques
• Excellent communication skills both in writing and speaking

Preferred Qualifications:

A bachelor’s degree in business information technology, computer science, or a similar discipline.

Please apply for a resume online, and the digitalxnode evaluation team will reach out to you in case your profile gets screen-selected. We will keep your data in our repository, and our team may reach out to you for other positions.