DTICI_Senior Data Engineer_T8

Tasks

Excellent communication skills (for effective communication with stakeholders).

Design & implementation of Azure Based Big Data Solutions – Datalake, Data Mart, Data Mesh

Overall 8+ Years of experience with atleast 5+ years of consulting experience focused in data and analytics.

Strong understand and implementation experience in Hadoop, Spark, Databricks, ADX, Synapse

Expertise in implementing Data lake solution using Scala/Python.

Hands on experience in big data engineering and agile delivery.

Experience of migrating onPrem to Cloud, Cloud to cloud data solutions.

Proven ability to work cross-functionally.

Experience of working with streaming data (Azure Event Hub) is an added advantage.

Understands data analytics, complex event processing, dockers, data warehouses, big data technologies, data engineering, data science and data visualization.

Experience of collaborating with BI/Analytics implementation teams

Roles & Responsibilities:

Design and implement the datalake/data mesh solutions

Consulting to design the On Premise to Azure Cloud data solution transition

Technical mentorship for the team in big data technologies

Qualifications

Required Qualifications

• Minimum of 4-7 years of relevant experience with focus on advanced analytics and big data
• Ability to assess the current situation on Data and Analytics Landscape, then devise strategy for the domain
• Good at managing different stakeholders and experience in managing multiple projects at a time
• Should have ability to transform a business problem to data science problem
• Have the ability to discover new opportunities where analytical techniques can be leveraged for solving business problems.

Arbeitsort