• Bachelor’s Degree in Computer Science, Engineering and/or Mathematics required. (Master’s Degree is a plus.)

  • Minimum 5 yrs. experience in data architecture --- designing, testing, deploying, and managing scalable reference data architectures for use by cross-functional teams.

  • Minimum 5 yrs. experience with designing and building operational and analytical data models.

  • Demonstrated successful experience with designing and deploying big data concepts and technologies required.

  • Hands on experience with streaming data architectures and message queues are required.

  • Strong experience with ETL design, development and management are required.

  • Experience with SQL and complex query writing is required.

  • Experience and understanding of big data technologies including Hadoop, MapReduce, Spark, NoSQL etc…

  • Experience working with Postgres, DW solutions (Redshift/BigQuery/Teradata) and/or other related database technologies is required.

  • Experience with result-set performance tuning and related data administration is required.

  • Knowledge of cloud computing for data infrastructures (preferably AWS, GCP or Cloudera certified architect).

  • Experience with data security and privacy methodologies is required.

  • Experience with data quality management and administration is required.

  • Experience with FTP, sftp, file transfers, data exchange methodologies is required.

  • Experience and understanding of various statistical modeling tools and platforms -- including R, Python -- is required.

  • Experience with R and Python is beneficial.

  • Experience in e-commerce, IOT, app messaging, Airline services, Telecom, and other datasets is beneficial.

  • Experience with Kafka, Pub/Sub or Amazon Kinesis is beneficial.

  • Experience in machine learning and artificial intelligence methods and practice is beneficial.

  • Understanding and experience with database technologies are beneficial including Oracle, SQLServer, etc..

  • Experience with agile development methodologies.

  • Understanding and experience with BI technologies are beneficial: Tableau, Microstrategy, Microsoft, OBI, etc.

  • A solid understanding of the methodology, data, and systems from a broad range of research and analytics providers, including emerging tools and methods.

  • Ability to distill complex statistical concepts and methodology, and articulate insights to cross-functional teams and clients with varying levels of knowledge in this space.

  • Experience with agile development methodologies.

  • Great teamwork skills and the ability to partner with data science/analytics/software team members to ensure efficient data ingestion and extraction methodologies.

  • Excellent written and verbal communication skills, including technical design documentation.

  • Ability to work effectively in the fast-paced, results-oriented work environment.

  • Dynamic personality and passion for data and analytics are very important for this role.

  • Ability to handle and adjust to change in requirements and direction.

  • Positive attitude, attention to detail and great problem-solving skills are import

نوکری کی تفصیلات

شعبہِ افعال:
کل عہدے:
1 اشاعت
نوکری کی شفٹ:
پہلا پہر
نوکری کی قسم:
نوکری کا مقام:
جنس:
کوئی ترجیح نہیں
کم از کم تعلیم:
بیچلرز
ڈگری کا عنوان:
Computer Science, Engineering , Mathematics
کیریئر کی سطح:
تجربہ کار پیشہ ور
کم از کم تجربہ:
5 سال
اس سے پہلے درخواست دیجیۓ:
مارچ ۰۲, ۲۰۱۹
تاریخِ اِشاعت:
جنوری ۲۹, ۲۰۱۹

Addo Ai

انفارمیشن ٹیکنالوجی · 11-50 ملازمین - لاہور

Addo Ai

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