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Dell Consultant, Data Engineer in Georgia

Responsibilities

  • Analyzes business needs and creates software and hardware solution blueprints.

  • Work closely with Data Product Managers and Solution Architects to define use cases and measurable business metrics

  • Works with engineering teams to check the feasibility of the solution, build stories and architects the solution for the Projects. Drives use cases through complete lifecycle.

  • Prepares flow charts, systems diagrams and design documentation to assist in problem analysis.

  • Designs, codes, tests and debugs software according to Dell’s standards, policies and procedures.

  • Mentoring junior team members on technical and functional skills. Should be a technical lead for the team and a great team player. Functional knowledge of business processes is required.

Skills

  • Possesses and applies a broad knowledge of application programming processes and procedures to the completion of complex assignments.

  • Competent to analyze diverse and complex problems.

  • Leads large budget projects.

  • Advanced ability to effectively troubleshoot program errors.

  • Build high reliability, high quality, high volume data pipelines

  • Setup batch, micro batch, streaming pipelines

  • Data ingestion, transformation, processing – batch & near real time

  • Automated tests and tie outs, self-healing data jobs

  • Build products that can support themselves with none to minimal support after rollout

  • Ability to communicate complex insights in a precise and actionable manner

  • Mindset to think differently; alignment to Industry standards; awareness of emerging technologies and industry trends

  • Demonstrated experience in creating and presenting technical white papers

Requirements

  • 10 - 12 years of relevant IT experience in Data-Warehousing Technologies with excellent communication and Analytical skills

  • Understanding of Big Data technologies

  • Should possess the below skillset experience –

  • Comfortable with ETL concepts

  • Experience working with Teradata/Oracle/SQL Server/Greenplum as data warehouse databases

  • Very strong in SQL (DDL, DML, procedural)

  • Should know Unix and Shell Scripting

  • Hands on experience with technologies like Spark and Hadoop HDFS, Hive, Hbase

  • Hands on experience on change capture and ingestion tools – StreamSets, Informatica

  • Knowledge on Kafka and Oracle GoldenGate

  • Excellent knowledge in scheduling tools like Control-M

  • Strong experience in Source code repositories like Git, SVN and Jenkins

  • Working knowledge of NRT and associated Tech stack -Spark, MemSQL

  • Ability to discuss and defend Architectural decisions with team of strong technical architects

  • Understand Dev and Test process E2E

  • Understands Data Architecture, data profiling, data quality

  • Adheres to standards, Audits and Tie Outs

  • Understands DevOps, CI/CD, DataOps

  • Excellent analytical and problem-solving skills is a must have

  • Strong communication and presentation skills

  • Must be experienced in diverse industry and tools and data warehousing technologies

  • Good to have:

  • Comfortable w/ pub sub model, ability to handle transaction logs;

  • API, Microservices

  • Scala, Python, Java, R, MADlib

  • Good to have knowledge around data Security – Data classification, encryption capabilities, technologies

  • Working knowledge of data science

  • Mindset around Data Quality and willing to explore available capabilities with tools in market

Preferences

  • Bachelor of Engineering or Master of Computer Applications

  • Experience in working in Agile (SCRUM) Methodology

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