1 to 12 of 12 Contract Apache Spark Jobs

provide efficient solutions. Your responsibilities will include but are not limited to: Installing, configuring, and maintaining Hadoop clusters, including HDFS, YARN, Hive, HBase, Kafka, Spark, and other related technologies. Monitoring cluster health and performance, diagnosing and troubleshooting issues, and implementing solutions to minimize downtime. Capacity planning and scaling the more »

Keynes Key responsibilities: Demonstrable experience as an Kafka Developer (Ideally Kafka Streams). Hand on experience in Big data technologies (Hadoop, Hue, Hive, Impala,Spark,.) and stronger within Kafka. Knowledge and experience using Key value data bases . Experience developing microservices using Spring. Design and develop cloud-based … different applications ,usually 24/7 applications with a big performance requirement . Key skills/knowledge/experience: Big Data Hadoop - Hive and Spark/Scala solid experience SQL advance knowledge - Been able to test changes and issues properly, replicating the code functionality into SQL Worked with Code more »

scripting. * Minimum of 1 year experience in investment banking or the financial sector. * Performance Tuning of Oracle/MySQL/Hive SQL Queries/Spark SQL Statements. * Experience in working with large databases - multi terabytes (3+ Terabytes). * Minimum of 5 years' experience in Big Data Space (Hive, Impala … Spark Sql, HDFS etc). * Any cloud experience (AWS/Azure/Google/Oracle). * Solid experience with Oracle objects(Packages,Procedure,functions) * Very clear concepts on Oracle architecture. * Very strong debugging skills. * Proficient in query tuning. * Detail oriented * Strong written and verbal communication skills * Ability to work more »

to develop unit test cases. Help in backlog grooming. Key skills: Extensive experience in developing Bigdata pipelines in cloud using Bigdata technologies such as Apache Spark Expertise in performing complex data transformation using Spark SQL queries Experience in orchestrating data pipelines using Apache Airflow Proficiency in more »

rate of £250-£400, falling inside IR35 regulations. Key Responsibilities: Design, develop, and maintain scalable data pipelines and ETL processes using AWS, Databricks, Python, Spark, and SQL. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions. Optimize and troubleshoot data … Glue). Hands-on experience with Databricks for data processing and analytics. Proficient in Python programming for data manipulation and automation. Solid understanding of Apache Spark for big data processing. Strong SQL skills for data querying, transformation, and analysis. Excellent problem-solving abilities and attention to detail. Ability more »

As a Data Architect, you'll lead the development of Java and Python projects, design API integrations using Spark, and collaborate with clients and internal teams to translate business requirements into high and low-level designs. You'll also define architecture and technical designs, create data flows and integrations … users and client teams. Stay updated with the latest trends and best practices. Qualifications: Expertise in Java and Python development (Essential). Experience with Spark or Hadoop (Essential). Knowledge of Trino or Airflow (Desirable). Proven ability to design and implement scalable and secure solutions. Excellent communication and more »

or similar, with 6+ years of professional experience. A good understanding of modern lakehouse architectures and corresponding technologies, such as Dremio, Snowflake, Iceberg, (Py)Spark/Glue/EMR, dbt and Airflow/Dagster. Experience with Cloud providers. Familiarity with AWS S3, ECS and EC2/Fargate would be more »

tooling Scripting experience (Python, Perl, Bash, etc.) ELK (Elastic stack) JavaScript Cypress Linux experience Search engine technology (e.g., Elasticsearch) Big Data Technology experience (Hadoop, Spark, Kafka, etc.) Microservice and cloud native architecture Desirable Skills Able to demonstrate experience of troubleshooting and diagnosis of technical issues. Able to demonstrate excellent more »

or similar, with 6+ years of professional experience. A good understanding of modern lakehouse architectures and corresponding technologies, such as Dremio, Snowflake, Iceberg, (Py)Spark/Glue/EMR, dbt and Airflow/Dagster. Experience with Cloud providers. Familiarity with AWS S3, ECS and EC2/Fargate would be more »

knowledge of security principles and best practices for cloud-based solutions. Preferred Skills : Certification in cloud platforms. Experience with big data technologies such as Apache Hadoop, Spark, or Kafka. Knowledge of data governance and compliance frameworks. Familiarity with DevOps practices and tools (e.g., Git, Jenkins, Terraform). All more »

and AI models. Data Engineer Required Experience Data engineering experience (2+ years) Cloud platform proficiency (e.g., AWS, Azure, GCP) Data pipeline development (e.g., Airflow, Apache Spark) SQL proficiency, database design Visualization tools knowledge (e.g., Tableau, PowerBI, Looker) Data Engineer Application Process This is a 1 year contract requirement more »

scripting. * Minimum of 1 year experience in investment banking or the financial sector. * Performance Tuning of Oracle/MySQL/Hive SQL Queries/Spark SQL Statements. * Experience in working with large databases - multi terabytes (3+ Terabytes). * Minimum of 5 years' experience in Big Data Space (Hive, Impala … Spark Sql, HDFS etc). * Any cloud experience (AWS/Azure/Google/Oracle). * Solid experience with Oracle objects(Packages,Procedure,functions) * Very clear concepts on Oracle architecture. * Very strong debugging skills. * Proficient in query tuning. * Detail oriented * Strong written and verbal communication skills * Ability to work more »