Senior Data Engineer

Responsibilities​
- Lead data engineers and complex projects to completion.
- Design, plan, prioritize and be responsible for the project.
- Build scalable, maintainable data pipelines (batch/streaming-ingestion/ELT/ETL/data products) and ensure their quality/reliability/integrity.
- Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increase data accessibility and foster data-driven decision-making across the organization.
- Coach and mentor junior data engineers to develop their skills.

- Bachelor’s Degree in Computer Science, Software Engineering, Information Technology, or equivalent industry experience.
- 6 years experience in Big Data technologies and their ecosystem.
- Proficient in SQL, Python or Linux & Unix.
- Experience in the Hadoop ecosystem such as HDFS, Spark, Hive, Sqoop, Airflow, Oozie, Ranger, Ambari, Flink.
- Experience in cloud computing technologies such as AWS, Azure, GCP.
- Experience working with relational databases such as MySQL, PostgreSQL, SQL Server, Oracle.
- Experience working with NoSQL databases such as MongoDB, HBase, Cassandra, Bigtable, DynamoDB, and Cosmos DB.
- Experience working with search engines tools like ElasticSearch.
- Experience in end to end data management solutions.
- Experience in data migration tools such as Fivetran, Informatica, database migration tools.
- Ability to design data lake, data warehouse, data mart based on AWS, Azure, GCP and on-premise.
- Understanding of data lake management such as life cycle management, storage class design, and access control.
- Ability to optimize data warehouse and data mart such as indexing, clustering, and partitioning.
- Ability to design data modeling (schema design) such as star schema, snowflake schema, fact table, dimensional table.
- Experience in ETL/ ELT solutions for both on cloud and on-premise.
- Ability to develop ETL/ELT solutions in Python, Spark, SQL.
- Experience in container management - Docker and Kubernetes.
- Understanding of real-time and batch processing.
- Experience in real-time processing (streaming) tools such as Apache Kafka, RabbitMQ, Cloud Pub/Sub, Azure Event Hubs, Amazon Kinesis.
- Experience in workflow orchestration, monitoring or data pipeline tools such as Apache Airflow, Azure Data Factory, Luigi, NiFi, AWS Step Function.
- Innovative problem-solving skills with the ability to identify and resolve complex architectural issues.
- Ability to communicate clearly and work closely with cross-functional teams such as Data Analyst, Data Visualization, Software Engineering, and businesses functions.
- Good command of English.
- Excellent organizational and leadership skills.
- A good team player.

- Work from anywhere
- 10 days of vacation leave per year (1st year prorate)
- Project Success Celebration
- Team building Activity and Company Outing
- Training Development and Career Opportunity
- 1-time Performance bonus and 2-time salary increment per year
- GH BANK Home Loan
- Social security contributions
- Allianz health insurance after passing probation period
- Annual physical check 
- Other benefits based on company policy