Data Engineer
Job Description
Job description
- We are looking for an experienced data engineer to join our team. You will use various methods to transform raw data into useful data systems. For example, you ll create algorithms and conduct statistical analysis. Overall, you ll strive for efficiency by aligning data systems with business goals.
- To succeed in this data engineering position, you should have strong analytical skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages and knowledge of learning machine methods.
- If you are detail-oriented, with excellent organizational skills and experience in this field, we d like to hear from you.
- Implement/support new data solutions in datalake/datawarehouse built on snowflake.
- Develop and design data pipelines using python, spark and snowflake.
- Implement infrastructure as code using cloudformation and terraform.
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About Company
Skills:
Pyspark, SQL Server, AWS Glue, Apache Spark, Postgres, AWS Athena, Visual Studio, SSIS, Python, Sql, S3, Ec2, Redshift, Matillion, Step Functions, Lambda functions, AWS Analytics services, Data-Pipelines
Skills:
Database Design, Scala, Data Warehousing, Data Modeling, Azure, Python, AWS, Databricks Unified Data Analytics Platform
Skills:
bedrock , S3, Kafka, CDK, Emr, Redshift, Sql, Kinesis, Terraform, Python, AWS, Flink, SageMaker, Neptune, infrastructure-as-code, Glue
Skills:
BigQuery, Sql, Gcp, Rest Apis, Python, Airflow, Cloud Functions, Pub Sub, Cloud Composer, Cloud Run, Eventarc, GCS, DataForm
Skills:
Power Bi, Power Automate, Data Governance, Dax, Python, Sql, RAG concepts, ML pipelines, Power Apps, Dataverse, Microsoft Fabric