About the Role
Responsibilities
Design, build and maintain complex ETL jobs that deliver business value
Translate high-level business requirements into technical specs
Ingest data from disparate sources into the data lake and data warehouse
Cleanse and enrich data and apply adequate data quality controls
Provide insight and direction to guide the future development of data platform
Develop re-usable tools to help streamline the delivery of new projects
Collaborate closely with other developers and provide mentorship
Evaluate and recommend tools, technologies, processes and reference architectures
Work in an Agile development environment, attending daily stand-up meetings and delivering incremental improvements
Competencies
Proficient in data management including data analytical capability
Excellent verbal and written communications, high attention to detail
Ability to manage diverse projects impacting multiple roles and processes
Candidate should be able to troubleshoot problem areas and identify data gaps and issues
Ability to adapt to fast changing environment
Strong experience with database modeling and schema design for relational databases
Experience Working with Relational Databases like Postgres, Vertica etc.
Experience with Git, JIRA, Jenkins, Confluence
Experience with ETL, data transformations & Datawarehouse Concepts
Understanding of Linux, AWS (or other cloud platforms), Python
Cloud: Experience working in a cloud environment (e.g. AWS)
Experience dealing with data pipelines using Python and/ Pyspark
Advanced Data Processing: Experience using data processing technologies such as Apache Spark or Kafka
Workflow: Good knowledge of orchestration and scheduling tools (e.g. Apache Airflow)
Experience
Data: 5+ years of experience with data analytics and warehousing
SQL: Deep knowledge of SQL and query optimization
ETL: Strong understanding of ETL methodologies and tools
Hands-on experience with various cloud-based database technologies (Aurora, Vertica, Redshift, etc.)
Reporting: Experience with data reporting (e.g. Microstrategy, Tableau, Looker) and data cataloging tools (e.g. Alation)
Experience in data governance a plus.
Data Engineer
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Tech Stack
ETLData WarehousingSQLPythonPysparkApache SparkKafkaApache AirflowAWSPostgresVerticaGitJIRAJenkinsConfluenceLinux