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- ...seeking an experienced Technology Consultant Cloud & Full Stack Engineer with strong expertise across Hybrid Cloud, AWS/Azure, Apache Spark, Java Full Stack development, and Site Reliability Engineering (SRE). The ideal candidate will have experience developing and...Suggested
- ...Summary We are seeking an experienced Azure Data Engineer with strong hands-on expertise in Azure Synapse Analytics, Apache Spark, PySpark, Spark SQL, and Data Lake architecture . The ideal candidate will be responsible for designing, developing, optimizing, and...Suggested
- ...Java (specifically the ability to read, trace, and understand Java code), alongside experience with big data frameworks like Hadoop, Spark, or Kafka. You excel in using stream and batch processing frameworks and data visualization tools, and are skilled in...SuggestedContract work
- ...Snowflake, SQL databases, and cloud services. Implement data quality checks, monitoring, logging, and alerting mechanisms. Optimize Spark jobs for performance and cost efficiency. Collaborate with data scientists to operationalize ML models and data products. Participate...Suggested
- ...related technical field. ~ Strong hands-on experience with AWS data services. ~ Extensive experience with Databricks, Apache Spark, and Delta Lake. ~ Proficiency in SQL and Python. ~ Experience designing and implementing enterprise-scale data pipelines....SuggestedContract workRemote work
- ...Arrangement: Day 1 Onsite Employment: W2 Duration: Long Term Primary Skills: Data Engineering Big Data Scala Apache Spark Hive SQL Google Cloud Platform / Google Cloud Platform Google Cloud Storage (GCS) BigQuery ETL Data Modeling Secondary Skill:...Suggested
- .... Solid background in Software Engineering and System Design. Hands-on experience with TensorFlow, PyTorch, Scikit-learn, Spark/PySpark, and REST APIs. Experience with CI/CD tools such as GitHub Actions, Jenkins, or CloudBees. Strong understanding of...SuggestedContract work
- ...Engineer to join our team in Cupertino, California (US-CA), United States (US). Job Description: Data Engineer - Data Platform (Spark/Kafka/Flink/Scala/Java) Join a team building next-generation, cloud-native data platforms powering real-time and batch data...SuggestedWork experience placement
- .../CD . Experience with BI tools such as Power BI, Tableau, Qlik, or Business Objects . Experience with big data technologies such as Spark, Hadoop, Kafka, Hive, or Sqoop . Experience building and consuming APIs . Linux experience, preferably RHEL/Debian . Scripting experience...SuggestedFull timeContract workLocal areaVisa sponsorship
- ...performance data solutions Key Responsibilities: Design develop and maintain scalable data pipelines using Databricks PySpark Spark SQL and Delta Lake Build and support enterprise data lake and Lakehouse solutions on AWS Develop batch and Realtime...SuggestedTemporary workLocal area
- ...platform teams on AI gateway integration, cross-account deployment, and connectivity. Support and maintain ETL pipelines in Scala or Spark, and onboard new data sources. Develop Python scripts, CLIs, services, and automation utilities for ingestion, deployment, and...SuggestedHourly payLocal areaWork from home
- ...Develop data transformations and workflows using PySpark and SQL. Monitor, troubleshoot, and optimize data pipelines and Spark jobs. Work with cloud platforms such as AWS, Azure, or Google Cloud Platform. Collaborate with data engineers, analysts, data...SuggestedLong term contract
- ...analytics, AI governance, and enterprise data platform adoption. Core Technologies: Databricks, AWS S3, Delta Lake, Unity Catalog, Spark/PySpark, Terraform, GitHub, CI/CD, CloudWatch, Mosaic AI, Genie, Vector Search, MLflow, Kafka, Airflow, Kubernetes....Suggested
- ...Familiarity with containerization, cloud platforms such as AWS or Google Cloud Platform, and data pipeline technologies such as Kafka and Spark Ability to work with internal test frameworks and automation infrastructure. Familiarity with E2E testing methodologies...SuggestedFor contractors
- ...Formation, Data Lake architecture. Data Warehousing Amazon Redshift and enterprise data warehouse design. Big Data Processing Apache Spark, PySpark, Amazon EMR. ETL/ELT Development AWS Glue, Lambda, Step Functions, Airflow. Streaming & Real-Time Analytics Amazon...Suggested
- ...genuine. Responsibility: Design and lead the target-state data platform using Fabric Lakehouse, Warehouse, OneLake, Data Factory, Spark/PySpark, SQL, and Power BI. 2) Enterprise Data Integration: Architect ingestion and integration from SAP ECC/S4HANA, BaaN, Ariba...
- ...in Python, SQL, PySpark, Databricks and AWS services. Expert knowledge of Python, SQL, PySpark, Databricks, Delta Lake, Apache Spark, Databricks, Databricks Dashboards, Git, GitHub, CI/CD Pipelines, Data Modeling, Dimensional Modeling, Data Warehousing, Medallion Architecture...
- ...Experience with data integration tools: DBT, Informatica, MS Integration Services etc. Experience with big data toolset: Hadoop, Spark, Kafka, Hive, sqoop etc. Experience working with Business Intelligence Tools (Business Objects) or Visualization tools such as...
- ...teams to efficiently move models from experimentation to production. The ideal candidate has deep experience with Databricks, Apache Spark, Python, and CI/CD practices, along with a strong understanding of the full machine learning lifecycle. This position offers the...Hourly payContract work
- ...Lambda, ECS/EKS, S3, API Gateway) Docker Kubernetes CI/CD Jenkins GitHub Actions DevOps Kafka Spark Flink Data Pipelines SQL Data Modeling Snowflake Databricks Responsibilities: Design,...
- ...Role Purpose Lead the modernization and migration of existing Python object-oriented applications into scalable PySpark and Spark SQL data-processing solutions on Azure Databricks - bringing a strong blend of software engineering, data engineering, cloud architecture...
- ...~ Strong understanding of data warehousing, data lakes, data modeling, and data integration concepts. ~ Experience with Apache Spark / PySpark for large-scale data processing. ~ Hands-on experience with Databricks or similar modern data platforms. ~ Experience...Contract work
- ...Familiarity with version control (Git) and CI/CD for data pipelines. Familiarity with Big Data technologies such as Hadoop, Spark, and Kafka is a plus. Excellent problem-solving and analytical skills. Strong communication and collaboration abilities....Work at office
$120k - $170k
...Skills: Strong Azure AI & Data : Azure ML, Synapse, Data Factory, Data Lake, Azure Functions Hands-on Databricks : Spark, Delta Lake, MLflow, Notebooks, Job Orchestration Strong Python & SQL with TensorFlow, PyTorch, or Scikit-learn Strong...Full timeRemote work- ...Analytics, Azure API Management (APIM), Azure DevOps. Databases: SQL Server, Oracle, PostgreSQL, Delta Lake Big Data: Apache Spark Version Control: GitHub, Git, Azure DevOps Visualization: Power BI & Integration with REST APIs for custom dashboards....
- ...frameworks. ~ Experience with AI/ML integrations and enabling self-service analytics platforms. ~ Proficiency in Python, SQL, and Spark (PySpark/Scala). ~ Experience building scalable data applications and APIs within Databricks. ~ Strong knowledge of...2 days per week
- ...warehousing. Strong understanding of SQL for data querying and validation. Knowledge of big data technologies such as Hadoop, Spark, or Kafka is a plus. Familiarity with scripting languages such as Python, Java, or Shell scripting. Excellent analytical...
- ...Experience with Databricks security, RBAC, users, groups, service principals, and access management . Strong knowledge of Apache Spark and Spark troubleshooting. Experience with Python and/or PySpark, SQL, and scripting . Experience with at least one...Permanent employmentRemote work
- ...Delta Lake best practices. Develop scalable data ingestion, ETL/ELT, and orchestration pipelines using Fabric Data Factory and Spark. Design semantic models, Direct Lake, dashboards, and reports in Power BI. Define data governance, security, and lineage using...
- ...management required to keep it running efficiently. The ideal candidate bridges the gap between deep technical data engineering (Spark, SQL, Delta Lake) and strategic platform administration. Key Responsibilities Architecture & Engineering Design & Implement:...Contract workWork at officeRemote work