Data Engineer

BusinessMinds Philippines
Net Cube, 3rd Avenue, Taguig, Metro Manila
Job Scope:
  • Develops, creates and prepares data marts for reporting & analytics consumption
  • Development and management of data integration jobs – consolidation, aggregation, filtering, validation, data quality routines, dimension creation, etc.
  • Executes production-level jobs by considering – data dependencies, schedules, validation routines, data stream updates.
  • Performs unit and system integration testing.
  • Has at least 6 months to 3 years of data integration experience using any programming languages (SQL, Spark, Java, SAS) to produce data marts, mappings, table relationships, and reports.  Other programming languages related to SQL/data management can also be considered. Experience of more than 4 years can be considered for Sr. Data Engineer or Sr. Consultant Role lead roles.
  • Solid understanding and adept at database programming to manage large amounts of data.  Good fundamental understanding of database engine behaviors.  Experience with big data engines – Hadoop, Spark – will be an advantage though not required.
  • Can relate report/insight requirements to business value.  Comfortable and passionate with data to transform it into meaningful insights to the enterprise.
  • Candidate must possess at least a Bachelor's/College Degree, Computer Science, Information Technology, Information Systems, Statistics, Math, Engineering or equivalent working experience.
  • Candidates with involvement in ETL, Data Warehouse projects will be given high consideration though not a requirement.  Significant experience in data platforms of SAS, Oracle, Microsoft, Cloudera, MapR, Tableau, Qlik are a plus though not a requirement.

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BusinessMinds Philippines

Our Company

BusinessMinds is a leading international management consulting firm that delivers value through our end-to-end Business Intelligence (BI) and Analytics Services and business partnerships.  Our mission is to significantly build business value by improving business processes through insight. We help large enterprises optimize business processes based on detailed insight into its data and information. We call it fact-based business process optimization.
With decades of success, BusinessMinds continue to grow in various markets.  We have established offices in Australia, Denmark, Philippines and Dubai serving multiple industries.  Our consultants focus and core competencies are in the areas of Analytics, Data Mining, Performance Management, Information Management, Business Intelligence and Data Warehousing, Propensity Modeling, Customer Segmentation, Campaign Analysis and other disciplines of data management and predictive analytics.

Our Value Proposition

We deliver strategy, development, implementation and management consultancy to identify, plan, select, develop and implement successful business intelligence, advanced analytics, performance management and data warehouse solutions. By providing ongoing insights to decision makers, we aid in redesigning business processes and give you the tools to make ongoing adjustments where needed.

Our Approach

With trusted, international expertise across a wide range of industries we focus on providing pragmatic, actionable solutions with minimum expenditure and maximum knowledge transfer to improve business value and control.  As a point of distinction, the BusinessMinds' core consultancy practice start with business performance, business pain and target results identification and discovery before analyzing bits-bytes and technology platforms.  Thus, when we implement, we can ensure flexible solutions focused on letting enterprise data become your company's primary competitive asset.  Wherever possible, the delivered solution will be based on and make the best use of your existing tools, delivered in conjunction with your nominated team members.

Our Services

We specialize in end-to-end information preparation and data mining, enabling the insights required to optimize your decision making:
  • Analytics, data mining, propensity modeling
  • Big Data analytics with cloud offering
  • Customer segmentation
  • Campaign analysis
  • Information management
  • Business intelligence
  • Data warehousing

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