1 Opening(s)
7.0 Year(s) To 12.0 Year(s)
Not Disclosed by Recruiter
Python,
SQL,
Spark,
Pandas,
Airflow,
Azure Data Factory, or equivalent,
Azure (preferred),
AWS or GCP,
PostgreSQL,
MS SQL Server, NoSQL (MongoDB, etc.),
S3, Delta Lake, Snowflake, Redshift, BigQuery, Prometheus, Grafana, ELK, etc
Cloud Technologies: Familiarity with cloud platforms such as AWS, Azure, or GCP.
Programming Languages: Proficiency in Python
Problem-Solving: Strong analytical and problem-solving skills.
Communication: Excellent communication and collaboration skills.
3 Opening(s)
4.0 Year(s) To 15.0 Year(s)
Not Disclosed by Recruiter
Experience in data engineering and Azure data services.
Proficiency in coding and building ETL pipelines in Synapse, Azure Data Factory, and Spark.
Experience with APIM/API, Dataverse, Logic Apps, Function Apps, SQL, Python, and C#.
Proficiency in writing notebooks in Python and/or PySpark.
Proficiency in using Azure DevOps or Similar tools for managing work backlogs
Experience ...