Responsibilities:

• 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

Mandatory Skills Description:

• 3-5 years of relevant working experience

• 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

Please refer to job description.