About the role:
Senior BigData Engineer
IF YOU ARE:
3 years of industrial experience in Big Data Engineering
Strong proficiency in SQL and at least one programming language: Python Scala or Java
Hands-on experience with AWS and Snowflake
Knowledge of dbt (data build tool)
Experience with cloud storages: AWS S3 Azure Storage Google Cloud Storage
Practical skills with Hadoop-like environments (EMR HDInsight Dataproc)
Experience with Big Data frameworks: Apache Spark Databricks Apache Flink Apache Beam
Knowledge of orchestration tools: Airflow NiFi AWS Glue Azure Data Factory Cloud Composer
Experience with streaming platforms: Kafka Kinesis SQS Event Hub Pub/Sub IoT Hub
Familiarity with data warehousing and analytics: Snowflake Redshift Athena Synapse
Experience working with containerization & serverless technologies (Docker Lambda Fargate Functions Cloud Run)
Understanding of data governance data quality and data lifecycle processes
Strong communication and collaboration skills
English at UpperIntermediate level
Bachelors degree in Computer Science or similar (preferred)
AWS or Snowflake certifications (preferred)
AND YOU WANT TO:
Design and optimize distributed computing architectures for scalable Big Data processing
Build and enhance batch and streaming data pipelines
Implement advanced data processing: realtime analytics ML-driven models predictive insights
Develop reusable parameterized ETL/ELT pipelines for DWH and lakehouse solutions
Conduct endtoend data flow validation and performance optimization
Implement best practices for data quality lineage and governance
Configure and maintain CI/CD flows and release pipelines
Work with containerized and multi-container development environments
Troubleshoot complex data infrastructure and processing issues
Contribute to architectural decisions and technology selection
Ensure secure customer data management throughout the entire project lifecycle
Follow data retention deletion and off-boarding procedures
Mentor junior engineers and support technical decision-making
Required Experience:
Senior IC
About the role:Senior BigData EngineerIF YOU ARE:3 years of industrial experience in Big Data EngineeringStrong proficiency in SQL and at least one programming language: Python Scala or JavaHands-on experience with AWS and SnowflakeKnowledge of dbt (data build tool)Experience with cloud storages: AW...
About the role:
Senior BigData Engineer
IF YOU ARE:
3 years of industrial experience in Big Data Engineering
Strong proficiency in SQL and at least one programming language: Python Scala or Java
Hands-on experience with AWS and Snowflake
Knowledge of dbt (data build tool)
Experience with cloud storages: AWS S3 Azure Storage Google Cloud Storage
Practical skills with Hadoop-like environments (EMR HDInsight Dataproc)
Experience with Big Data frameworks: Apache Spark Databricks Apache Flink Apache Beam
Knowledge of orchestration tools: Airflow NiFi AWS Glue Azure Data Factory Cloud Composer
Experience with streaming platforms: Kafka Kinesis SQS Event Hub Pub/Sub IoT Hub
Familiarity with data warehousing and analytics: Snowflake Redshift Athena Synapse
Experience working with containerization & serverless technologies (Docker Lambda Fargate Functions Cloud Run)
Understanding of data governance data quality and data lifecycle processes
Strong communication and collaboration skills
English at UpperIntermediate level
Bachelors degree in Computer Science or similar (preferred)
AWS or Snowflake certifications (preferred)
AND YOU WANT TO:
Design and optimize distributed computing architectures for scalable Big Data processing
Build and enhance batch and streaming data pipelines
Implement advanced data processing: realtime analytics ML-driven models predictive insights
Develop reusable parameterized ETL/ELT pipelines for DWH and lakehouse solutions
Conduct endtoend data flow validation and performance optimization
Implement best practices for data quality lineage and governance
Configure and maintain CI/CD flows and release pipelines
Work with containerized and multi-container development environments
Troubleshoot complex data infrastructure and processing issues
Contribute to architectural decisions and technology selection
Ensure secure customer data management throughout the entire project lifecycle
Follow data retention deletion and off-boarding procedures
Mentor junior engineers and support technical decision-making
Required Experience:
Senior IC
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