Analyst Data Engineering

Posted:
10/15/2024, 1:11:32 AM

Location(s):
Metro Manila, Philippines ⋅ Taguig, Metro Manila, Philippines

Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior

Field(s):
Software Engineering

Job Description:

Job Description: 

  • Designs and develops Data and Analytics solutions 

  • Performs data analysis, data architecture, data engineering activities 

  • Designs and builds data ingestion pipelines; develops data transformation, cleansing and preparation processes 

  • Designs and builds data storage solutions including database objects and data structures 

  • Takes ownership of complex data-level or database incidents and problems and provides resolutions in a timely manner 

  • Provides advisory and consultation services to determine the right solution 

  • Utilizes best practices, work plans, checklists and defined processes 

  • Proactively supports application teams 

  • Performs optimization 

  • Participates in project technical reviews 

  • Leads or participates in work product reviews 

  • Engages SMEs or vendors to provide assistance to resolve more complex issues as required 

Technology and Functional Skills: 

  • Azure data platform and components: Azure Data Factory, Databricks, Blob Storage, Synapse, SQL DB/DW, Event Hubs, etc. 

  • AWS data platform and components: S3, Redshift, Spectrum, Athena, Aurora, CLI, etc. 

  • GCP data platform and components: BigQuery, Dataflow, Dataprep, Pub/Sub, etc. 

  • Non-cloud native: Informatica, Talend, DataStage, SAP BODS, etc. 

  • Big Data: Hadoop, Hadoop ecosystem, Spark, Scala, etc. 

  • Language and Toolset: SQL, Python, PySpark, ELK (Elasticsearch, Logstash, Kibana) 

  • Data Integration, Extract-Transform-Load (ETL), Data Ingestion, Data Cleansing, Data Preparation, Database 

  • Data Warehouse, Data Lake, and Business Intelligence (BI) concepts 

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