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Mid-Level Data Engineer
GFT Technologies. Collect, clean, and transform raw data into usable formats for analysis.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and maintaining scalable data pipelines, managing relational and non-relational databases, and implementing data governance practices. Proficient in utilizing Azure tools and programming languages to transform raw data into actionable insights.
Highest-signal resume keywords
Data Pipeline DevelopmentRelational Database ManagementAzure Data FactoryPython ProgrammingData Governance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLNoSQLDatabricksParquetData Lake ZonesBig Data TechnologiesEvent StreamingData WarehousingPL/SQLPostgreSQL
Soft Skills
Problem SolvingCollaborationAdaptability
Tools & Technologies
Azure DatabricksAzure Data Lake StorageEvent HubsKafkaSpark
Certifications & Qualifications
Microsoft Certified: Azure Data Engineer AssociateDatabricks Associate Certification
Industry Keywords
Data GovernanceData DomainDevOps StandardsData ArchitectureData Transformation
Tech Stack
Tools & technologiesAzureCassandraKafkaMySQLNoSQLPostgresPythonSparkSQL
About the role
Key responsibilities & impact- Collect, clean, and transform raw data into usable formats for analysis.
- Develop and maintain efficient, scalable data pipelines.
- Manage, model, and use relational databases (SQL), non-relational databases (NoSQL), and data warehouses.
- Collaborate with other analytics professionals to deliver actionable insights.
- Participate in requirements-definition and planning meetings.
- Follow and implement best practices and standards.
- Contribute to project design and architecture by suggesting improvements and optimizations.
- Work on the development and architecture of complex, scalable data systems in collaboration with multidisciplinary teams.
Requirements
What you’ll need- Intermediate knowledge of Databricks.
- Knowledge of Azure tools (Azure Data Factory, Azure Databricks, ADLS, Event Hubs).
- Programming skills in Python and Parquet.
- Understanding of Data Lake zones (Bronze, Silver, and Gold).
- Knowledge of Data Governance and Data Domain concepts.
- Proficiency in relational databases (SQL, MySQL, PL/SQL, PostgreSQL, SQL Server) and non-relational databases.
- Ability to learn and follow established work practices and DevOps standards.
- Ability to identify problems and drive their resolution.
- Knowledge of Microsoft Azure.
- Knowledge of Big Data/streaming technologies (Spark).
- Azure certifications (e.g., Microsoft Certified: Azure Data Engineer Associate) are a plus.
- Databricks Associate certification is a plus.
- Knowledge of NoSQL databases (e.g., Cassandra, Cosmos DB) is a plus.
- Proficiency with event-streaming platforms (e.g., Event Hubs, Kafka) is a plus.
Benefits
Comp & perks- Flexible benefits card – choose how and where to use it.
- Tuition assistance for undergraduate, graduate, MBA, and language courses.
- Certification incentive programs.
- Flexible working hours.
- Competitive salaries.
- Annual performance review with a structured career development plan.
- International career opportunities.
- Wellhub and TotalPass.
- Private pension plan.
- Childcare assistance.
- Medical insurance.
- Dental insurance.
- Life insurance.