51 to 75 of 202 Remote Apache Spark Jobs

or similar role. Proficiency with Databricks and its ecosystem. Strong programming skills in Python, R, or Scala. Experience with big data technologies such as Apache Spark, Databricks. Knowledge of SQL and experience with relational databases. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud). Strong analytical and More ❯

Preferred Qualifications: DOD 8570 IAT Level II Certification may be required (GSEC, GICSP, CND, CySA+, Security+ CE, SSCP or CCNA-Security). Familiarity with Apache Spark or comparable distributed data processing frameworks, preferably for large-scale data transformations and analytics. Working knowledge of data governance platforms (e.g., Collibra More ❯

optimized solutions. One or more of the following certifications are desired: AWS Certified Developer, Databricks, Agile/Scrum, Python Programmer Preferred Qualifications: Familiarity with Apache Spark or comparable distributed data processing frameworks, preferably for large-scale data transformations and analytics. Working knowledge of data governance platforms (e.g., Collibra More ❯

issues . Ability to work in a fast-paced, high-growth environment with a product-oriented mindset . Bonus: Experience with big data tools (Spark, Kafka) and feature stores . Why Join Us? Work on cutting-edge AI and ML infrastructure supporting generative AI products. Be part of a More ❯

issues . Ability to work in a fast-paced, high-growth environment with a product-oriented mindset . Bonus: Experience with big data tools (Spark, Kafka) and feature stores . Why Join Us? Work on cutting-edge AI and ML infrastructure supporting generative AI products. Be part of a More ❯

migration of these data warehouses to modern cloud data platforms. Deep understanding and hands-on experience with big data technologies like Hadoop, HDFS, Hive, Spark and cloud data platform services. Proven track record of designing and implementing large-scale data architectures in complex environments. CICD/DevOps experience is More ❯

processes in the engineering delivery cycle including Agile and DevOps, Git, APIs, Containers, Microservices and Data Pipelines. Experience working with one or more of Spark, Kafka, or Snowflake My client have very limited interview slots and they are looking to fill this vacancy within the next 2 weeks. I More ❯

automation. Proficiency in building and maintaining batch and streaming ETL/ELT pipelines at scale, employing tools such as Airflow, Fivetran, Kafka, Iceberg, Parquet, Spark, Glue for developing end-to-end data orchestration leveraging on AWS services to ingest, transform and process large volumes of structured and unstructured data More ❯

Argo, Dagster or similar. Skilled with data ingestion tools like Airbyte, Fivetran, etc. for diverse data sources. Expert in large-scale data processing with Spark or Dask. Strong in Python, Scala, C# or Java, cloud SDKs and APIs. AI/ML expertise for pipeline efficiency, familiar with TensorFlow, PyTorch More ❯

in a data-focused role, with a strong passion for working with data and delivering value to stakeholders. Strong proficiency in SQL, Python, and Apache Spark , with hands-on experience using these technologies in a production environment. Experience with Databricks and Microsoft Azure is highly desirable. Financial Services More ❯

MSSQL, PostgreSQL, MySQL, NoSQL Cloud: AWS (preferred), with working knowledge of cloud-based data solutions Nice to Have: Experience with graph databases, Hadoop/Spark, or enterprise data lake environments What You’ll Bring Strong foundation in computer science principles (data structures, algorithms, etc.) Experience building enterprise-grade pipelines More ❯

MSSQL, PostgreSQL, MySQL, NoSQL Cloud: AWS (preferred), with working knowledge of cloud-based data solutions Nice to Have: Experience with graph databases, Hadoop/Spark, or enterprise data lake environments What You’ll Bring Strong foundation in computer science principles (data structures, algorithms, etc.) Experience building enterprise-grade pipelines More ❯

the time to customer sites located in Hawaii. Subject to change based on customer needs. Preferred Requirements Experience with big data technologies like: Hadoop, Spark, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Experience with containers EKS, Diode, CI/CD, and Terraform are a plus Work could possibly More ❯

at our Columbia, MD office. Flexibility is essential to accommodate any changes in the schedule. Preferred Requirements Experience with big data technologies like: Hadoop, Spark, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Experience with containers EKS, Diode, CI/CD, and Terraform are a plus Work could possibly More ❯

Azure or AWS Strong experience designing and delivering data solutions in Databricks Proficient with SQL and Python Experience using Big Data technologies such as Apache Spark or PySpark Great communication skills, effectively participating with Senior Stakeholders Nice to haves: Azure/AWS Data Engineering certifications Databricks certifications What More ❯

Azure or AWS Strong experience designing and delivering data solutions in Databricks Proficient with SQL and Python Experience using Big Data technologies such as Apache Spark or PySpark Great communication skills, effectively participating with Senior Stakeholders Nice to haves: Azure/AWS Data Engineering certifications Databricks certifications What More ❯

Azure or AWS Strong experience designing and delivering data solutions in Databricks Proficient with SQL and Python Experience using Big Data technologies such as Apache Spark or PySpark Great communication skills, effectively participating with Senior Stakeholders Nice to haves: Azure/AWS Data Engineering certifications Databricks certifications What More ❯

and compliance. Collaborate with stakeholders and external partners. Skills & Experience: Strong experience with AWS data technologies (eg, S3, Redshift, Lambda). Proficient in Python, Apache Spark, and SQL. Experience in data warehouse design and data migration projects. Cloud data platform development and deployment. Expertise across data warehouse and More ❯

excellence and be a person that actively looks for continual improvement opportunities. Knowledge and skills Experience as a Data Engineer or Analyst Databricks/Apache Spark SQL/Python BitBucket/GitHub. Advantageous dbt AWS Azure Devops Terraform Atlassian (Jira, Confluence) About Us What's in it for More ❯

excellence and be a person that actively looks for continual improvement opportunities. Knowledge and skills Experience as a Data Engineer or Analyst Databricks/Apache Spark SQL/Python BitBucket/GitHub. Advantageous dbt AWS Azure Devops Terraform Atlassian (Jira, Confluence) About Us What's in it for More ❯

collaborative mindset. One or more of the following certifications are desired: AWS Certified Developer, Databricks, Agile/Scrum, Python Programmer Preferred Qualifications: Familiarity with Apache Spark or comparable distributed data processing frameworks, preferably for large-scale data transformations and analytics. Working knowledge of data governance platforms (e.g., Collibra More ❯

improvement mindset. One or more of the following certifications are desired: AWS Certified Developer, Databricks, Agile/Scrum, Python Programmer Preferred Qualifications: Familiarity with Apache Spark or comparable distributed data processing frameworks, preferably for large-scale data transformations and analytics. Working knowledge of data governance platforms (e.g., Collibra More ❯

Specialty. Databricks Certified Machine Learning Professional. Agile/Scrum Master Certification. Specialized certifications in AI/ML tools or methodologies. Preferred Qualifications: Familiarity with Apache Spark or comparable distributed data processing frameworks, preferably for large-scale data transformations and analytics. Working knowledge of data governance platforms (e.g., Collibra More ❯

databases Skilled in Python, Java, or Scala for data pipeline development Experienced with BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub Exposure to Hadoop, Spark, Kafka Data Engineer - GCP & Python Location: London, UK Type: Hybrid (3 days onsite, 2 remote) Employment: Full-time, Permanent/Fixed Term We're More ❯

Systems, Cloudera/Hortonworks, AWS EMR, GCP DataProc or GCP Cloud Data Fusion. Streaming technologies and processing engines, Kinesis, Kafka, Pub/Sub and Spark Streaming. Experience of working with CI/CD technologies, Git, Jenkins, Spinnaker, GCP Cloud Build, Ansible etc. and experience building and deploying solutions to More ❯