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Job Descripstions:
1. Identify and document business and stakeholder data requirements.
2. Build and maintain scalable and automated data infrastructure and data warehouse.
3. Extract, transform, and manage datasets to ensure data readiness and consistency.
4. Define and manage data quality rules, validation, and reconciliation processes.
5. Monitor and improve data quality metrics, including accuracy and completeness.
6. Develop data quality reports and improvement recommendations for business use cases.
7. Optimize and enhance data products to support operational and analytical needs.
8. Manage documentation and standardization of data engineering and governance processes.
9. Evaluate data tools and technologies to improve performance and cost efficiency.
Job Requirements:
1. Bachelor's degree in Information Technology, Statistics, Computer Science, or equivalent disciplines.
2. Minimum 2 years of experience in Data Engineering, Data Management, or related fields.
3. Proficient in SQL, data integration tools and Cloud Environment.
4. Good understanding of Big Data concepts and Big Data Management Framework.
5. Strong analytical, critical thinking, and problem-solving skills.
6. Creative mindset with the ability to support data-driven solutions and process improvement.
Job ID: 148956925
Skills:
Data Transformation, Kafka, Data pipeline, Grafana, Sql, Data Processing, Observability, Monitoring
Skills:
Hadoop, Power Bi, PostgreSQL, SQL Server, Data Warehousing, Tableau, Sql, Google Cloud, MySQL, Spark, Python, AWS, Etl, Looker
Skills:
google apps script , google sheets , snowflake , BigQuery, Sql, Apache Airflow, Javascript, Python, Metabase, dbt, Looker Studio, API integrations
Skills:
snowflake , Java, Aws Redshift, Cassandra, PostgreSQL, Scala, Apache Spark, Kafka, Sql, Apache Airflow, MySQL, MongoDB, Python, Google BigQuery, Flink, Prefect, dbt
Skills:
Sparksql, Sql, Hive, Airflow, ClickHouse, PrestoSQL, StarRock
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