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:
- Data Integration, Extract-Transform-Load (ETL), Data Ingestion, Data Cleansing, Data Preparation, Database
- Data Warehouse, Data Lake, and Business Intelligence (BI) concepts
- Language and Toolset: SQL, Python, PySpark, ELK (Elasticsearch, Logstash, Kibana)
- ETL Tool : Informatica, Talend, DataStage, SAP BODS, etc.
- Preferred - experience in Oracle Cloud Infrastructure
- (A plus) Azure data platform and components: Azure Data Factory, Databricks, Blob Storage, Synapse, SQL DB/DW, Event Hubs, etc.
- (A plus) AWS data platform and components: S3, Redshift, Spectrum, Athena, Aurora, CLI, etc.
- (A plus) GCP data platform and components: BigQuery, Dataflow, Dataprep, Pub/Sub, etc.
- (A plus) Big Data: Hadoop, Hadoop ecosystem, Spark, Scala, etc.
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