Data Engineer
- Posted 2 months ago
- Be among the first 30 applicants
Job Description
Ihre Aufgaben
Must Have
Soft Skills
Must Have
- Bachelors or equivalent degree in Computer Science, IT, electronics and communications
- Minimum 3-4 years of professional experience in relevant Data Engineering field and knowledge of cloud platform i.e., Azure.
- Minimum 3 years of strong experience in Databricks, pyspark and SQL.
- Experience into SQL stored procedures, Views, functions, SAP ODATA etc.
- Experience with Azure Data Lake, Azure Synapse, Azure Data Factory, SQL Data Warehouse, Azure Blob, Azure Storage Explorer
- Proficient in creating Data Factory pipelines for on-cloud ETL processing; copy activity, custom Azure development etc.
- Good verbal and written communication skills.
- Good to have knowledge of BI related technologies i.e. PowerBI, SSRS.
- Knowledge of Machine Learning models in Databricks.
- Knowledge or experience in row level security, GIT, CI/CD.
- Experience with or knowledge of Agile Software Development methodologies.
Soft Skills
- Assuming personal responsibility & demonstrating reliability
- Own Initiatives and perseverance
- Ability to deal with conflicts & solve problems
- Negotiation skills
- Decision making
- Ability to Cooperate
- Excellent written and verbal communication skills
More Info
Key Skills
Azure Blob
Data Factory pipelines
Azure Storage Explorer
SQL Data Warehouse
SQL stored procedures
Views
About Company
Skills:
Unix, Pyspark, AWS Glue, Sql, Etl, Iceberg, Astronomer
Skills:
Apache Airflow, Pyspark, Spark, Databricks, Azure, Python, Sql, Fabric, ETL pipelines
Skills:
Sql Performance Tuning, Azure Data Factory, Power Bi, Pyspark, Apache Spark, Azure Databricks, Data Governance Unity Catalog, Microsoft DP-203 certification, CI CD for ADF Databricks, Azure Data Lake Gen2
Skills:
Apache Airflow, Github, Pyspark, Spark, Azure Databricks, Azure Storage, Python, CodeQL, Cycode
Skills:
data engineering , snowflake , Data Modeling, Sql, Etl, ELT, Performance Tuning, Data Quality, Query Optimization, Data Profiling, Data Integration, Validation, Data Virtualization, Source-to-Target Mapping, Starburst, Trino