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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Data Engineering with a strong focus on data modeling, data pipeline creation, and analytics trends. Proficient in utilizing tools and technologies such as Hadoop, Spark, and cloud platforms to deliver data-driven solutions.
Highest-signal resume keywords
Data EngineeringHadoopSparkData ModelingCloud Platforms
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Pipeline DevelopmentData TransformationData Migration ProtocolsProgramming in JavaProgramming in Python
Soft Skills
Analytical ThinkingCommunication
Tools & Technologies
HiveKubernetesGCPAzureKafka Connect
Industry Keywords
Data StrategyData WarehouseData LakeBusiness IntelligenceBusiness Analytics
Tech Stack
Tools & technologiesAirflowAzureBigQueryCloudGoogle Cloud PlatformHadoopJavaKafkaKubernetesPythonScalaSpark
About the role
Key responsibilities & impact- Understand, articulate and apply principles of defined data strategy
- Extract data from identified databases
- Create data pipelines and transform data to relevant structures
- Develop knowledge of current analytics trends
- Support the understanding of priority order of requirements and service level agreements
- Analyze complex data elements, systems, data flows, dependencies, and relationships
- Develop Logical and Physical Data Models, including data warehouse and mart designs
- Write code to develop solutions and application features
- Create test cases and deploy software to production servers
- Provide recommendations to business stakeholders
Requirements
What you’ll need- 6+ years of experience in Data Engineering
- Well versed with Hadoop, Hive, Spark using Scala, Kubernetes, Cloud, API and Data Lake concepts
- Proven track record coding with at least one programming language (e.g., Java, Python)
- Experienced in computing platforms (e.g., GCP, Azure)
- Skilled in data modelling & data migration protocols
- Experience with Kafka connect, Druid, Big Query and Looker is an added advantage
- Experience with integration tools like Automic, Airflow
- Bachelor's degree in Computer Science and 3 years' experience in software engineering or related field OR 5 years' experience in software engineering or related field OR Master's degree in Computer Science and 1 year's experience in software engineering or related field
- 2 years' experience in data engineering, database engineering, business intelligence, or business analytics.
Benefits
Comp & perks- Incentive awards for performance
- Maternity and parental leave
- PTO
- Health benefits
- Flexible work arrangements
