... Shell Scripting. Strong analytical skills for data engineering tasks. Familiarity with tools likeApache Airflowfor data migration workflows. Experience with database systems such asOracle,MySQL, orDB2. Knowledge of legacy data migration from diverse sources. Previous experience with data migration to platforms like ServiceNow. ...
... ~ Manage budgets related to data sourcing, annotation operations, and vendor contracts. 8+ years of overall experience in GIS, remote sensing, or geospatial data operations; Strong hands-on knowledge of satellite imagery sourcing (optical, SAR, multispectral) and remote sensing data pipelines. - Proven experience managing ...
... success. Migrate and transform client corporate governance data and documents into Diligent platforms, ensuring accuracy, consistency, and completeness. Run regular data quality checks, validate data against source records, and quickly correct errors to maintain high data integrity. Use advanced Excel functions, databases, and ...
... well-documented code that others can understand and maintain All About You passionate about using data visualisations to tell stories 1–3 years experience in creating data visualisations proficient in R or Python proficient in using code to clean data, transform, and aggregate data familiar with version control concepts and tools ...
... building ETL/ELT pipelines that transform and process large volumes of structured and unstructured data.- Solid understanding of data warehousing concepts and data modelling techniques (e.g. dimensional modelling, slowly changing dimensions).- Hands-on experience with BigQuery, Airflow or Argo Workflows, Dataflow, and Pub/Sub ...
... understanding of event-driven architecture and real-time data streaming patterns Familiarity with Avro/JSON schema management and Schema Registry Experience integrating data between legacy and modern platforms Strong SQL/Python skills and experience working with relational databases Understanding of data mapping, data quality, and ...
... contribute to organizational initiatives, innovation programs, and knowledge-sharing https://jobeax.com/link/NWRTOHArny83GSG0 :- 5 to 8 years of experience in Data Science, Machine Learning, and Analytics.- Strong proficiency in Python, SQL, Statistics, and Machine Learning algorithms.- Hands-on experience with Generative ...
... governance. Experience : Minimum 6 years of hands-on experience in data engineering, with a proven track record in complex pipeline development and cloud-based data migration projects. Bachelor’s or higher degree in Computer Science, Data Engineering, or a related field. Skills : Proficiency in Spark, SQL, Python, and other ...
... processes. - Experience translating business requirements into features, user stories, data requirements, and acceptance criteria. - Hands-on experience with data validation, reconciliation, source-to-target mapping, UAT, and defect management. - Understanding of data flows, cloud platforms, data repositories, and reporting/visualization ...
... maintain robust data pipelines, helping to turn raw data into actionable https://jobeax.com/link/d6zqLcygnqsI43u7 Responsibilities:- Develop, test, and maintain data pipelines and ETL/ELT processes using Python, SQL, and GCP services.- Write and optimize complex SQL queries in BigQuery for data transformation, extraction, ...
... Statistics, Mathematics, Computer Science or a related field, or a bachelor's degree with significant equivalent experience. Significant experience delivering data science projects from problem definition through implementation and evaluation. Demonstrated proficiency in Python, machine learning frameworks and statistical ...
... focus on Java, Microservices and Kafka Java Microservices Back end Developer Java Sprint boot Microservices with expected knowledge of Kafka, Basic knowledge of Database. Experience with TDD and BDD. Must have experience with one of cloud (GCP, AWS or Azure). Also experience with Kubernetes and containers - Hands-on experience ...
... Collaborate with cross-functional teams to deliver data solutions. Ensure data quality, performance, reliability, and scalability. Required Skills: - 7+ years of Data Engineering experience. - Strong experience in Data Modeling, Data Warehousing, and ETL development. - Proficiency in Python, Java, Scala, or NodeJS. - 3+ years ...
Role Overview : We are seeking a seasoned Data Engineering professional to spearhead our data architecture initiatives and drive the evolution of our analytical ecosystem. In this role, you will be responsible for designing robust data models and optimizing our Snowflake-based data warehousing environment to support complex ...
Project Role: Associate Data Team Lead/Data Team Lead Work Experience: 8+ Years. Work Mode: Hybrid/Homebased Clinical data management, Rave, SSU experience. Shift Timings: 5:00 am -2:00 pm / 2:00 pm – 11:00 pm The shift assignment is purely based on project requirements and the candidate must be open to working in either ...
... using languages like Go, Rust, or Python. Constantly challenge the data-stack status quo. Focus on building lightweight, cost-effective, and highly performant data systems, selecting tools based on architectural suitability rather than industry hype. Optimize data storage layouts, partitioning schemes, and query mechanics ...
... affordable healthcare. Build and manage digital analytics datasets and reporting solutions Develop data pipelines and analytical reporting frameworks Support data validation, UAT, process improvements, and analytics initiatives. Experience & Qualification: Python Power BI & Dashboard Development Data Modeling & Data Validation ...
... supervised and unsupervised learning, including model selection, feature engineering, validation, tuning, and performance interpretation - Strong proficiency in Python and common ML / data science libraries such as scikit-learn, pandas, NumPy, XGBoost, LightGBM, PyTorch, TensorFlow, or equivalent frameworks - Experience building ...
... Bachelor's degree (preferably in Computer Science, Mathematics, Data Science, or a related field). - 3-6 years of overall experience in software development and data analysis. - Hands-on experience in Python for application development. - Strong proficiency in SQL for data analysis and query generation. - Experience with hosted ...
... experience in deploying models to production. - Strong Python and SQL, with experience on distributed or cloud platforms such as Databricks, PySpark and AWS/Azure. - A track record of owning client communication and explaining results to non-technical stakeholders. - Experience in guiding and managing a team of data scientists.