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Lead Database Engineer
1 week ago
Working knowledge on one of NoSQL Databases.
Expert in DB modelling and DWH schemas (like Snowflake, Star schemas).Expert in enterprise DWH (Redshift, Azure Synapse) or Lakehouse (Delta lake) architectures.
Expert in ETL and ELT setups in AWS/Azure cloud.Hands on experience in setting up datamarts and data products.
Hands on experience with cloud services like (Glue, Lambda, API Gateway, CloudFormation, S3, Redshift, SQS or respective Azure services).Proficiency in Python and SQL coding.
Understanding and implementation of coding design patterns.Working experience in Spark and Spark SQL frameworks.
Working experience with Big Data (Data partitioning, Data cleaning, Data transformation techniques).Knowledge of CI/CD pipelines and tools like Git, Jenkins, Docker, K8 etc.
BenefitsCompetitive salary and performance-based bonuses.
Comprehensive insurance plans.
Collaborative and supportive work environment.
Chance to learn and grow with a talented team.
A positive and fun work environment.
RequirementsExpert in one of SQL Databases like MySQL, PostgreSQL, SQL Server. Working knowledge on one of NoSQL Databases. Expert in DB modelling and DWH schemas (like Snowflake, Star schemas). Expert in enterprise DWH (Redshift, Azure Synapse) or Lakehouse (Delta lake) architectures. Expert in ETL and ELT setups in AWS/Azure cloud. Hands on experience in setting up datamarts and data products. Hands on experience with cloud services like (Glue, Lambda, API Gateway, CloudFormation, S3, Redshift, SQS or respective Azure services). Proficiency in Python and SQL coding. Understanding and implementation of coding design patterns. Working experience in Spark and Spark SQL frameworks. Working experience with Big Data (Data partitioning, Data cleaning, Data transformation techniques). Knowledge of CI/CD pipelines and tools like Git, Jenkins, Docker, K8 etc.
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