IBM

Data Engineer- Big Data

Posted 06 September 2023
LocationPhilippines
Job type Full-Time
Reference645171BR

Company's Benefits

  • Flexible Working Arrangements

    Flexible Working Arrangements

  • Equal Pay Initiatives

    Equal Pay Initiatives

  • Mentorship Program

    Mentorship Program

  • Leadership Development Program

    Leadership Development Program

  • Paid Parental Leave

    Paid Parental Leave

  • Return to Work Policy

    Return to Work Policy

  • Childcare Facilities

    Childcare Facilities

  • Breastfeeding Rooms

    Breastfeeding Rooms

  • Sponsorship Program

    Sponsorship Program

  • Coaching Program

    Coaching Program

  • Raise Numbers Of Women In Leadership

    Raise Numbers Of Women In Leadership

  • Internal Women's Networking Group

    Internal Women's Networking Group

Job Description

​Introduction
At IBM, work is more than a job – it’s a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you’ve never thought possible. Are you ready to lead in this new era of technology and solve some of the world’s most challenging problems? If so, lets talk.

Your Role and Responsibilities
Develops applications on Big Data and Cognitive technologies including API development. Expected to have traditional Application Development background along with knowledge of Analytics libraries, open-source Natural Language Processing, statistical and big data computing libraries. Strong technical abilities to understand, design, write and debug complex code. Skills include Python, Spark, Kafka, IBM BigInsights, Hadoop, NoSQL, HBase, HIVE, PIG, C++, SQL, Linux, Java, EAI, SOA, CEP, HDFS, ETL.

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Required Technical and Professional Expertise

  • Development experience in Big Data software development technologies such as Hadoop, Hive or Spark.

  • Proficient background in Unix or Linux programming language.

  • Good understanding in SQL and RDBMS. Good at modeling data for relational, analytical and big data workload.

  • Provide support for deployed data applications and other data consumers by identifying data problems and guiding issue resolution with partner Data Engineers and source data providers


Preferred Technical and Professional Expertise

  • Must Have skill in Big Data tools such as Hadoop, Hive or Spark

  • Proven background in SQL, Unix/Linux and ETL process