Data Engineer
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Python, SQL and Databricks
Job Description:
• 2-4 years of hands-on experience in data engineering and analytics
• Strong skills in statistical tools and programming languages such as Python, R, etc.
• Experience with data analysis / visualization tools and software like Power BI, Looker, Databricks etc.
• Proficiency in SQL for data extraction and manipulation.
• Attention to detail and a commitment to data accuracy.
• Proactive approach to identifying issues and providing solutions.
• Strong analytical and problem-solving skills. Ability to analyse complex datasets and translate data into actionable insights.
• Ability to present complex information in an understandable and compelling manner.
• Excellent written and verbal communication skills
• Ability to work independently and as part of a team
Need SPR & Citizens Only
Drop your resume to [Confidential Information]
WhatsApp -+65 65075644
Job ID: 151645947
Skills:
snowflake , Sql, Databricks, Data Governance, Java, Data Warehousing, Python, Data Modelling, Etl Tools, Redshift, R, cloud platforms, Production Monitoring, CI CD, API integrations, containerisation, Dremio
Skills:
data warehouses , Orchestration, Metadata Management, Sql, ELT, Numpy, Data Quality, Pandas, Data Governance, Databricks, Python, AWS, Etl, Data Lakes, Lakehouses, Data Mesh
Skills:
Sql, Google Cloud, Git, Azure Data Factory, Shell Scripts, Docker, Terraform, Databricks, Azure, Python, AWS, Airflow
Skills:
S3, Oracle Sql, Data Architecture, ELT, Ec2, Kinesis, Python, Java, Aws Services, Emr, Redshift, Sql, Devops, Hive, Spark, Plsql, Kubernetes, Etl, Modeling, Airflow, Warehousing, R, machine learning deployment, microservices deployment, data crawling, streaming solutions, CI CD pipelines, warehouse construction, lake formation, Athena, container orchestration
Skills:
Azure Data Factory, Gcp, Spark, Databricks, Azure, Python, Sql, AWS, Airflow
