JOBSTANGERANGKAB
Situs informasi lowongan di kutif dari sumber lowongan kerja yang resmi dan
dari pemasang loker dari perusahaan. Berita informasi lowongan kerja di kemas
oleh JOBSTANGERANGKAB yang sangat sederhana dan singkat tapi mudah di mengerti
tentang lowongan kerja.Lwongan kerja yang di sajikan dari mulai loker pabrik,
Restoran. BUMN dan CPNS. Informasi lowongan kerja yang di update bagi pencari
kerja dari lulusan SD. SMP. SMA/sederajat, Deploma maupun Sarjana.
Kali ini JOBSTANGERANGKAB tayangkan lowongan kerja dari AIRINDIA
Job Description
Summary
We are looking for a data engineer with at least 6 years of experience to join our team and help us build and maintain data pipelines, data warehouses, and data platforms. You will be responsible for designing, developing, testing, and deploying scalable and reliable data solutions that support our business needs and data analytics goals.
Responsibilities
Design and implement data pipelines using various tools and technologies such as Python, SQL, Spark, Kafka, Airflow, etc.
Optimize and monitor data pipelines for performance, reliability, and quality.
Build and maintain data warehouses and data marts using cloud services such as AWS, GCP, or Azure.
Develop and maintain data platforms that enable data ingestion, processing, storage, and access for various data sources and formats such as structured, semi-structured, and unstructured data.
Collaborate with data analysts, data scientists, and other stakeholders to understand data requirements and deliver data solutions that meet their expectations.
Ensure data security, privacy, and compliance with data governance standards and best practices.
Document data architectures, data models, data dictionaries, and data quality metrics.
Research and evaluate new data technologies and trends and provide recommendations for data engineering improvements.
Qualifications
Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field.
At least 6 years of experience as a data engineer or in a similar role.
Proficient in Python, SQL, and other programming languages for data engineering.
Experience with data pipeline tools and frameworks such as Spark, Kafka, Airflow, etc.
Experience with cloud services and platforms such as AWS, GCP, or Azure.
Experience with data warehouse and data lake technologies such as Redshift, BigQuery, Snowflake, etc.
Experience with data modeling, data quality, and data governance concepts and practices.
Strong analytical and problem-solving skills.
Excellent communication and collaboration skills.
Ability to work independently and as part of a team.
Sumber: Jobstechjobs
