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- ...data solutions. Key Responsibilities: Build and maintain scalable ETL/ELT pipelines using Databricks. Leverage PySpark/Spark and SQL to transform and process large datasets. Integrate data from multiple sources including Azure Blob Storage, ADLS and...Suggested
- ...and maintain scalable data solutions. Strong experience with Microsoft Azure data services Hands-on expertise in Databricks, Apache Spark, and data engineering workflows Proficiency in Alteryx for data preparation and analytics Strong knowledge of SQL, ETL/ELT processes...SuggestedFull timeWorldwide
- ...Big data movement and transport Data warehousing fundamentals - schema design (star/snowflake), fact and dimensions, SCDs Spark Kafka AWS, Azure, or Google Cloud Platform Java/Python programming background Role Overview We are seeking an...Suggested
- ...migration of legacy data warehouses and ETL workloads to Databricks. Architect batch and real-time data processing solutions using Spark. Optimize performance, scalability, reliability, and cost efficiency. Collaborate with business stakeholders, data...SuggestedWork experience placementRemote work
- ...architecture using GKE with Cloud SQL and Pub/Sub. Big Data Experience working with large-scale data processing frameworks such as Apache Spark, Dataflow, or BigQuery. Example: Building ETL pipelines that process terabytes of daily event data and transform it for downstream...Suggested
- ...Job Title: Data Engineer Databricks / Scala / Spark / Kafka Work Location: Richardson, TX | Indianapolis, IN | Tampa, FL | Hartford, CT | Phoenix, AZ | St. Louis, MO (Hybrid) Long Term Contract If you find this opportunity suitable, kindly share your updated resume. Also...SuggestedLong term contract
$65.05 per hour
...experience designing, implementing, and maintaining distributed systems. ~ Deep expertise with Cloudera Hadoop ecosystem: HDFS, YARN, Spark, Impala, Ranger. ~ Knowledge of Apache Iceberg and object storage such as S3 or Ozone. ~ Strong Python development for...SuggestedContract work- ...billing systems, revenue reconciliation, deferred revenue, and financial reporting. Databricks certifications (Data Engineer, Spark Developer, or equivalent). Experience with MLflow, AutoML, or basic ML-enabled analytics use cases. Experience with Power...SuggestedLong term contract
- ...orchestration pipelines. Fabric Data Development Build and manage pipelines using Fabric Data Factory. Develop transformations using Spark notebooks (PySpark/SQL). Create and model Fabric Warehouses. Work with OneLake for unified storage and data access. Performance...SuggestedContract workRemote work
- ...capital, and regulatory reporting. Ensure models are fit for the consumers who rely on them. Performance & Scale: Optimize SQL and Spark workloads, partitioning, storage design, and query performance to meet stringent EOD SLAs. Data Observability: Integrate...SuggestedWork at office
- ...deployment and adoption. Design and develop Databricks Apps and production-grade data/AI solutions using Python or Scala, SQL, Apache Spark, Delta Lake, and Databricks platform services. Build reference architectures and scalable solutions across batch/streaming data...Suggested
- ...infrastructure Key Responsibilities: Administer and optimize Microsoft Fabric environments Lakehouse Warehouse Data Factory Spark Notebooks Semantic Models Ensure platform reliability through monitoring incident management RCA and performance tuning...Suggested
- ...looking for a highly experienced Senior Data Engineer with 10+ years of experience and strong hands-on expertise in Databricks, Apache Spark, PySpark, Python, SQL, AWS, and Delta Lake . The ideal candidate should have extensive experience designing and developing scalable...Suggested
$125k - $226.25k
...implementing enterprise-scale data platforms. Strong hands-on experience with Databricks, including Delta Lake, Unity Catalog, Spark, Structured Streaming, and Lakehouse architecture. Strong hands-on experience with Snowflake, including data modelling, performance...SuggestedTemporary workFlexible hours$90 - $105 per hour
...implement, test, deploy, and maintain scalable ETL/ELT pipelines and governed raw, clean, and curated data layers using Python, PySpark, Spark SQL, Foundry Code Repositories, Pipeline Builder, Databricks, and Delta Lake. Design and implement Foundry Ontologies...SuggestedHourly payWork at office- ...experience strongly preferred Consulting/client-facing experience preferred Technical requirements Deep hands-on Databricks PySpark / Spark AWS cloud data environment Data ingestion, transformation, orchestration and automation End-to-end data architecture and pipeline...Contract work
$150k - $240k
..., and regulatory reporting. Ensure models are fit for the consumers who rely on them. Performance & Scale: Optimize SQL and Spark workloads, partitioning, storage design, and query performance to meet stringent EOD SLAs. Data Observability: Integrate quality...Work at officeLocal areaRemote workWorldwide- ...sources. Implement data transformations, cleansing, enrichment, and validation processes. Create scalable solutions using PySpark, Spark SQL, and Delta Lake. Collaborate with business stakeholders, data architects, analysts, and application teams to define data requirements...Hourly payLocal areaRemote work
- ...different environments. Hands-on architecture experience within AWS, Azure, or Google Cloud Platform environments. Deep expertise in Apache Spark, Delta Lake, SQL, and cluster resource management. Translate business requirements into technical blueprints, run proof-of-concepts...
- ...mesh patterns. Strong command of data modeling (3NF, Star/Snowflake, Data Vault 2.0). Advanced proficiency in SQL, Python/PySpark, and Spark performance tuning. Deep knowledge of Azure security & networking (Managed Identity, Private Link, VNet integration, Azure Firewall)...Contract workWork experience placement
- ...Experience optimizing cost and performance in cloud data warehouses. Hands-on experience with Cribl, Apache Kafka, Kafka Connect, Spark Streaming, or Apache Flink Required Years of Experience: MUST have 5 to 7+ years of Data Engineering experience....Contract workWork experience placementWork at officeRemote work
- ...development. Strong experience designing and implementing enterprise-scale data pipelines. Hands-on expertise with: Python PySpark Spark SQL SQL Kafka Databricks Delta Lake Snowflake Hive Experience building data solutions on AWS cloud platforms. Strong understanding of...
$170k - $180k
...HBase, Aerospike, Cassandra, or MongoDB) Ecosystem Integration: Support and integrate core Hadoop ecosystem tools including Hive, Spark, and HDFS. We're looking for someone with: ~4+ years of experience administering distributed Big Data Platforms. ~...Work experience placementWork at officeLocal areaRemote workMonday to Friday- ...training, serving, and observability, and be the final escalation point for the most elusive infrastructure problems (GPU capacity, Spark tuning, production incidents) Own and evolve our paved-road framework (the shared CI/CD spine, model-workflow scaffolding, and Databricks...Remote work
- ...experienced D365 Sr Finance Consultant to join one of our enterprise client engagements. The ideal candidate should have strong expertise in Spark, Kafka, AWS, Azure, or Google Cloud Platform along with experience working in fast-paced enterprise environments. MUST...
$56 - $61 per hour
...building enterprise-grade data pipelines, processing high-volume datasets, and delivering scalable analytics solutions using PySpark, Spark SQL, and AWS cloud technologies. Responsibilities: The candidate will design, develop, and maintain scalable data...Contract workTemporary workLocal areaRemote work- ...experience designing and developing enterprise-scale data engineering solutions Hands on experience with Databricks and Apache Spark for large-scale data processing Strong experience with MS Azure data platforms and services Hands on experience designing...Contract work
- ...experience in design, implement and maintain Java ,Python, Microservice, Spring Boot, Spring Cloud, RESTful services, Kafka, Swagger, Spark, MongoDB, Flink, Ab Initio, Docker, Opeshift, Kubernetes technologies Strategize, Design data architecture for specific business...Flexible hours
- ...Responsibilities Databricks Engineering: Build scalable, secure data solutions on the Databricks Lakehouse Platform using Apache Spark, Delta Lake, and cloud-native services. Implement batch, streaming, ETL, ELT, analytics, and ML-enabled data pipelines. Apply medallion...Work experience placementLocal areaRemote work
- ...Position Type: Full Time We are seeking an experienced Databricks Architect with strong hands-on expertise in Unity Catalog, Apache Spark, PySpark, SQL, and Delta Lake . The ideal candidate will design, develop, and optimize scalable data engineering solutions on the Databricks...Full timeRemote work