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 Modelling, Strong SQL 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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Please refer the Job description for details