Data Engineer, Product Analytics
- Posted 13 days ago
- Over 500 applicants have applied
Job Description
Job description
- Meta is looking for Data Engineer, Product Analytics to join our dynamic team and embark on a rewarding career journey.
- Data Engineer, Product Analytics is responsible for overseeing and optimizing data engineer, product analytics operations. This role involves strategic planning, team coordination, and execution of tasks to ensure efficiency and productivity. The incumbent will collaborate with stakeholders to align operations with business goals. Duties include monitoring performance, ensuring compliance with policies, and implementing best practices. Additionally, they will manage resources, resolve operational challenges, and contribute to continuous improvement initiatives. Strong analytical skills, leadership abilities, and industry knowledge are essential for success in this role.
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Key Skills
About Company
Skills:
Profisee, Powerbi, Data Engineer
Early Applicant
Skills:
Database Management Systems, Data Analytics, Data quality assurance techniques, Data governance principles, ETL processes, Scripting and programming languages relevant to data processing, Data integration tools, Designing and implementing data pipelines
Skills:
Azure Data Factory, Data Modeling, Pyspark, Databricks, Data Warehousing, Sql, Synapse Analytics, Delta Lake, Microsoft Fabric, Azure analytics services
Skills:
data engineering , Apache Hadoop, Machine Learning, Amazon Web Services, Data Modeling, Power Bi, Power Automate, Apache Spark, Apache Kafka, Data Warehousing, Microsoft Azure, Excel, Data Analytics, Data Pipelines, Python Programming Language, Minitab, SQL Programming Language
Skills:
data engineering , Data Management, Data Analytics, Data Architecture, database administration, Infrastructure Management, technical support, systems maintenance