experience with data integration tools (e.g., Azure Data Factory, Informatica, Talend) and database technologies (SQL, NoSQL). Familiarity with big data technologies (e.g., Spark, Hadoop) and real-time data processing. Deep understanding of data governance, data quality, and data security principles. Experience working with BI tools and supporting analytics More ❯
other engineers on the team to elevate technology and consistently apply best practices. Qualifications for Software Engineer Hands-on experience working with technologies like Hadoop, Hive, Pig, Oozie, Map Reduce, Spark, Sqoop, Kafka, Flume, etc. Strong DevOps focus and experience building and deploying infrastructure with cloud deployment technologies like More ❯
greater manchester, north west england, United Kingdom
ECOM
Engineering, Mathematics, or related field. - Proven experience (5+ years) in developing and deploying data engineering pipelines and products - Strong proficiency in Python - Experienced in Hadoop, Kafka or Spark - Experience leading/mentoring junior team members - Strong communication and interpersonal skills, with the ability to effectively communicate complex technical concepts More ❯
information with attention to detail and accuracy. Adept at queries, report writing, and presenting findings. Experience working with large datasets and distributed computing tools (Hadoop, Spark, etc.) Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, etc.). Experience with data profiling tools and processes. More ❯
information with attention to detail and accuracy. Adept at queries, report writing, and presenting findings. Experience working with large datasets and distributed computing tools (Hadoop, Spark, etc.) Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, etc.). Experience with data profiling tools and processes. More ❯
skills would be a plus. Knowledge of IoT , AI/ML , and data analytics platforms (e.g., Dataiku). Bonus: Experience with big data technologies (Hadoop, Spark, Kafka) and Agile methodologies . Why Join Us? Work on groundbreaking projects that bridge prosperity with sustainability. Thrive in a diverse, inclusive, and More ❯
skills would be a plus. Knowledge of IoT , AI/ML , and data analytics platforms (e.g., Dataiku). Bonus: Experience with big data technologies (Hadoop, Spark, Kafka) and Agile methodologies . Why Join Us? Work on groundbreaking projects that bridge prosperity with sustainability. Thrive in a diverse, inclusive, and More ❯
and tools (e.g., Python, R, SQL, Jupyter, Pandas, Scikit-learn) Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and big data platforms (e.g., Spark, Hadoop) Strong background in statistics, data modeling, and algorithm development Ability to explain complex data findings to technical and non-technical stakeholders Experience supporting national More ❯
and data dictionaries Familiar with modern data visualisation tools (e.g. QuickSight, Tableau, Looker, QlikSense) Desirable Skills Exposure to large-scale data processing tools (Spark, Hadoop, MapReduce) Public sector experience Experience building APIs to serve data Familiarity with other public cloud platforms and data lakes AWS certifications (e.g. Solutions Architect More ❯
data analytics, software engineering, or related technical field. A minimum of five (5) years of hands-on experience with Big Data applications, such as Hadoop, and associated applications (e.g., administration, CM, monitoring, performance tuning, etc.) Desired: Experience working in a government mission Data Exploitation environment (e.g., acquiring data, storing More ❯
learn. Familiarity with cloud platforms like AWS, GCP, or Azure. Strong written and spoken English skills. Bonus Experience: Experience with big data tools (e.g., Hadoop, Spark) and distributed computing. Knowledge of NLP techniques and libraries. Familiarity with Docker, Kubernetes, and deploying machine learning models in production. Experience with visualization More ❯
the schedule. Preferred Requirements Prior experience or familiarity with DISA's Big Data Platform or other Big Data systems (e.g. Cloudera's Distribution of Hadoop, Hortonworks Data Platform, MapR, etc ) is a plus. Experience with Kubernetes (or vendor flavor of Kubernetes) Experience with CI/CD pipelines (e.g. Gitlab More ❯
level security clearance preferred. Prior experience or familiarity with DISA's Big Data Platform or other Big Data systems (e.g. Cloudera's Distribution of Hadoop, Hortonworks Data Platform, MapR, etc ) is a plus. Experience with Kubernetes (or vendor flavor of Kubernetes) Experience with CI/CD pipelines (e.g. Gitlab More ❯
visualization tools (e.g., Matplotlib, Seaborn, Tableau). Ability to work independently and lead projects from inception to deployment. Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure) is desirable. MSc or PhD in Computer Science, Data Science, or related field is preferred. Don More ❯
consulting environment. Expertise in cloud-based AI and Data platforms (Azure AI, AWS SageMaker, Google AI), MLOps frameworks, and big data technologies (Databricks, Snowflake, Hadoop). Exceptional project management skills, with a demonstrated ability to plan, execute, and deliver complex AI and data-driven projects on time and within More ❯
consulting environment. Expertise in cloud-based AI and Data platforms (Azure AI, AWS SageMaker, Google AI), MLOps frameworks, and big data technologies (Databricks, Snowflake, Hadoop). Exceptional project management skills, with a demonstrated ability to plan, execute, and deliver complex AI and data-driven projects on time and within More ❯
on full-stack programming experience using Java, Javascript, Scala/Python Experience working with big-data stack, including (but not limited to) spark/hadoop, kafka, Aerospike/Dynamodb Experience with AWS tech stack, including but not limited to EMR, Athena, EKS Expert knowledge of multi-threading, memory model More ❯
Columbia, Maryland, United States Hybrid / WFH Options
Enlighten, an HII - Mission Technologies Company
High School Diploma or equivalent and 9 years relevant experience. Experience in streaming and/or batch analytics (e.g. Kafka, Spark, Flink, Storm, MapReduce, Hadoop) Experience in distributed databases, NoSQL databases, full text-search engines (e.g. Elasticsearch, MongoDB, Solr) Experience in designing enterprise APIs Experience in RESTful web services More ❯
Columbia, Maryland, United States Hybrid / WFH Options
Enlighten, an HII - Mission Technologies Company
level security clearance preferred. Prior experience or familiarity with DISA's Big Data Platform or other Big Data systems (e.g. Cloudera's Distribution of Hadoop, Hortonworks Data Platform, MapR, etc ) is a plus. Experience with Kubernetes (or vendor flavor of Kubernetes) Experience with CI/CD pipelines (e.g. Gitlab More ❯
San Antonio, Texas, United States Hybrid / WFH Options
Enlighten, an HII - Mission Technologies Company
level security clearance preferred. Prior experience or familiarity with DISA's Big Data Platform or other Big Data systems (e.g. Cloudera's Distribution of Hadoop, Hortonworks Data Platform, MapR, etc ) is a plus. Experience with Kubernetes (or vendor flavor of Kubernetes) Experience with CI/CD pipelines (e.g. Gitlab More ❯
San Antonio, Texas, United States Hybrid / WFH Options
Enlighten, an HII - Mission Technologies Company
CCSP is highly desired) Prior experience or familiarity with DISA's Big Data Platform or other Big Data systems (e.g. Cloudera's Distribution of Hadoop, Hortonworks Data Platform, MapR, etc ) is a plus. Experience with Kubernetes (or vendor flavor of Kubernetes) Experience with CI/CD pipelines (e.g. Gitlab More ❯
Information Science or related field 12+ years development experience in modern languages (Python, Java, JavaScript) Must have experience with Big Data Technologies: Spark, Elasticsearch, Hadoop At least 5 years experience with with both Full-stack web frameworks (Django, Python, Flask) and Front-End frameworks (React, Angular, Typescript) Additional Skills More ❯
Columbia, Maryland, United States Hybrid / WFH Options
Enlighten, an HII - Mission Technologies Company
directed by the customer. Prior experience or familiarity with DISA's Big Data Platform or other Big Data systems (e.g. Cloudera's Distribution of Hadoop, Hortonworks Data Platform, MapR, etc ) is a plus. Experience with Kubernetes (or vendor flavor of Kubernetes) Experience with CI/CD pipelines (e.g. Gitlab More ❯
Stevenage, England, United Kingdom Hybrid / WFH Options
Tata Consultancy Services
visualization tools (e.g., Matplotlib, Seaborn, Tableau). Ability to work independently and lead projects from inception to deployment. Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure) is desirable. Rewards & Benefits TCS is consistently voted a Top Employer in the UK and globally. More ❯
