Distributed Systems, Backend Engineering, platform engineering, data infrastructure

Java, Python, Kafka, Spark, ClickHouse, Apache Pinot, Apache Iceberg, Kafka Streams, Go, Flink, Druid

Java, S3, Hadoop, Scala, Nodejs, Netezza, Redshift, MS SQL, Ec2, MySQL, Spark, Oracle, Python, AWS, Teradata

Data Science, Github, Machine Learning, Tableau, JIRA, Python, Sql, AWS, R, dbt

data engineering , Java, S3, Hadoop, Scala, Nodejs, Big Data Technologies, Emr, Data Modeling, Redshift, Sql, Hive, Ec2, Spark, Python, AWS Tools, Warehousing, ETL pipelines

data engineering , Java, S3, Hadoop, Scala, Big Data Technologies, Nodejs, Emr, Data Modeling, Redshift, Sql, Hive, Ec2, Spark, Python, AWS Tools, ETL pipelines

Bash, Git, Terraform, Distributed Systems, Cloud Infrastructure, Kubernetes, Python, Go, infrastructure automation frameworks, reliability engineering practices, incident response processes, observability platforms, CI CD platforms, service reliability programs

Amazon Web Services, Hadoop, Pyspark, Amazon Kinesis, Apache Spark, Kafka, Redshift, Nosql, Data Quality, Data Governance, Python, Structured Query Language, Elastic MapReduce, Relational Database Service, Glue

Spark, Databricks, Python, Pyspark, Azure Data Engineering

Power Bi, Apache Spark, Databricks, Azure, Sql, Python, SODA or equivalent data quality observability tools, CI CD for data pipelines, Delta Lake, Atlan or similar data catalog and metadata platforms