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Acelucid Technologies

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4.7

based on 7 Reviews

15 Acelucid Technologies Jobs

Airflow Developer

acelucid technologies

4.7

based on 7 Reviews

4-5 years

Dehradun

1 vacancy

Airflow Developer

Acelucid Technologies

posted 14d ago

Job Role Insights

Flexible timing

Key skills for the job

Digital Marketing Python SQL MySQL GCP Postgresql

+ 3 more

Job Description

Data Engineer

Job Summary:

We are seeking a skilled Airflow Developer with 4-5 years of experience to design, implement, and maintain efficient, scalable, and reliable workflows using Apache Airflow. The ideal candidate will have a strong understanding of data pipelines, ETL processes, and orchestration techniques. You will collaborate with cross-functional teams to ensure seamless integration and optimization of workflows in our data ecosystem.

Key Responsibilities:

Design and develop workflows, DAGs (Directed Acyclic Graphs), and custom operators using Apache Airflow.
Collaborate with data engineers, analysts, and stakeholders to understand requirements and translate them into scalable workflows.
Monitor, troubleshoot, and optimize Airflow pipelines to ensure reliability and performance.
Integrate Airflow with various data sources, storage systems, and APIs.
Implement best practices for code quality, version control, and deployment processes.
Write clear documentation for workflows, configurations, and processes.
Ensure data pipeline scalability, security, and maintainability by implementing appropriate solutions.
Manage and maintain the Airflow environment, including upgrades and plugin configurations.

Required Skills and Qualifications:

4-5 years of experience in building and managing workflows with Apache Airflow.
Proficiency in Python programming for Airflow DAGs and custom operator development.
Strong understanding of ETL/ELT processes and data pipeline orchestration.
Experience working with SQL and databases (e.g., PostgreSQL, MySQL, or NoSQL).
Familiarity with cloud platforms (AWS, GCP, or Azure) and their data services.
Knowledge of CI/CD pipelines and version control systems (e.g., Git).
Strong problem-solving skills and attention to detail.

Preferred Qualifications:

Experience with containerization tools like Docker and orchestration systems like Kubernetes.
Familiarity with big data technologies such as Spark, Hadoop, or Kafka.
Understanding of data warehousing solutions like Snowflake, Redshift, or BigQuery.
Knowledge of monitoring and alerting tools (e.g., Prometheus, Grafana).