Data Engineering Lead

2 weeks ago

Johannesburg, Gauteng, South Africa Datafin Full time

ENVIRONMENT:


A leading global Digital Solutions Tech company is seeking a young and vibrant Data Engineering Lead who will be responsible for providing advisory and thought leadership on the provision of analytics environments leveraging Cloud based platforms, big data technologies, including integration with existing data and analytics platforms and tools.

You will drive pre-sales (proactive, reactive pursuits).

Come up with solutions for scalable data architectures, and information solutions covering data security, data privacy, data governance, metadata management, multi-tenancy, and mixed workload management, implement projects and provide delivery oversight.

You will lead multiple competencies within data engineering & analytics, guiding communities on the next best technologies and helping them plan the next set of solutions and services in their respective technologies to present to customers.

You will need to have 15-20 Years of Data and Analytics experience with minimum 5+ years in one cloud platform like Azure, AWS or GCP Cloud native data services.


DUTIES:
Responding to client RFI, RFP documents with proper solution design including cost estimatesUnderstanding customer requirements and create technical propositionCreating proactive proposals by understanding customer business priorities, and technology landscapeContributing to SoWs, technical project roadmaps, etc required for successful execution of projects leveraging Technical Scoping & Solutioning approachBuilding Solution roadmap & strategy for internal DE&A platformLeading analyst briefings and presentationsManaging all aspects of technical solutions development and ensure successful project deliveriesDeveloping best practises as & when neededEstimating effort, identifying risk, and providing technical support whenever neededDemonstrating the ability to multitask and re-prioritizing responsibility based on dynamic requirementsLeading and mentoring various practice competency practice teams as needed

REQUIREMENTS:


15-20 Years of Data and Analytics experience with minimum 5+ years in one of cloud platforms like Azure, AWS or GCP Cloud native data services.

Experience working on cloud platforms (AWS/Azure/Google Cloud). Expertise in Snowflake, Databricks, Big Query, Synapse.

Experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, HBase, Flume, Kafka) as well as with the No-SQL (e.g., MongoDB, HBase, Cassandra).

Experience with related/complementary open-source software platforms and languages (e.g., Java, Python, Scala). Good understanding of AI, ML implementation life cycle, latest tools, and offerings. Working experience with ETL (Extract-Transform
  • Load) tools (e.
g., Informatica, Talend, Ab Initio, Pentaho). Experience working with various data visualization tools (e.g., Tableau, Power BI, Oracle Analytics Cloud etc.).

ATTRIBUTES:
Analytical and consulting skillsStrong written, verbal, and presentation communication skillsBe able to work with customers independentlyExcellent communication skills interviewing, preparation and delivery of presentations and reportsWorking within a project management/agile delivery methodology in a leading role as part of a wider team#J-18808-Ljbffr

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