501 to 525 of 2,574 SQL Jobs

/CD automation pipelines. Proficiency with Terraform and Docker. SOLID, KISS principles, decomposition principles, and resolving monolith vs. microservices trade-offs. Experience with SQL and NoSQL databases. Best practices in building scalable mobile APIs (REST, HTTPS, etc.). Good principles of security management (secrets, protocols, etc.). Experience with some ...

e.g. pandas, NumPy, scikit-learn; strong coding practices matter) Strong grasp of model evaluation, statistics, and experimentation Confident working with data at scale using SQL (and a practical approach to messy data) Curiosity, speed, and pride in quality—someone who enjoys digging into hard problems Strong communication skills and willingness ...

data is used at the Port Database Engineer - Skills and Qualifications: - Experience as a Data Engineer, ideally in fast-moving environments - Strong proficiency in SQL and data pipeline development - Experience with ETL frameworks, data modelling, and working with large, complex datasets - Familiarity with cloud platforms, in particular, Azure and modern ...

data extracts, schema discovery, incremental loads, and multiple source system instances Build transformation-heavy pipelines covering data profiling, cleansing, standardisation, conformance, and publishing Advanced SQL skills for data profiling, joins and merges, deduplication, anomaly detection, and performance tuning Strong scripting capability in Python for automation, parsing, rules engines, and data ...

maintain sophisticated pricing models with advanced data science techniques using WTW Radar and Emblem. Query and engineer large datasets (e.g., Python/R/SQL/PySpark) on modern platforms (e.g., Azure Databricks). Create innovative data solutions and present actionable insights to stakeholders. Communicate results clearly to key decision ...

Context Engineering (constructing prompts, managing context windows, evaluating behaviour). Engineering & Stack: Python: Expert level (Pandas, NumPy, Scikit-Learn). Data Engineering: Strong SQL skills and experience building data pipelines. Experience: Education: Degree in a quantitative field (Statistics, Mathematics, Computer Science, etc.). Industry: 2+ years of experience in Fintech ...

server side Frontend frameworks such as React , Angular , or Vue REST APIs and API documentation tools (e.g. OpenAPI) Relational and non-relational databases ( SQL & NoSQL ) Git , GitLab, and CI/CD pipelines Docker , containers, and microservice-based infrastructure Bonus experience (not required, but nice to have): NestJS , Next.js , or Gatsby ...

Engineering-related degree. Strong general IT knowledge (hardware, software, Windows environments). Exposure to/understanding of IFS applications or other ERP solutions. SQL knowledge (queries, joins, basic reporting). Experience with reporting or data analysis tools (for example Power BI, Tableau, Excel, or similar). Exposure structured data sets ...

production applications with Python/Django and managing asynchronous tasks with Celery. 3+ years of experience with PostgreSQL, including schema design, migration management, and SQL query optimization for performance. 2+ years of experience working with containers (Docker/Podman) and Kubernetes/OpenShift, including a practical understanding of Helm charts ...

problem-solving: Ability to translate ambiguous business questions into robust analytical frameworks that inform product and growth strategy. Analytics engineering & analysis: Highly proficient in SQL and Python/R for data analysis, experimentation analysis, and modeling. Data visualization & storytelling: Experience with modern BI tools (Tableau, Metabase, Looker, Superset, etc. ...

deliver business insights. Ensure data quality, governance, and compliance (HIPAA/PHI Required Skills: 5+ years in Data Engineering, 3+ years with Snowflake. Strong SQL, Python (Snowpark), and data modeling experience. Familiar with CI/CD (Jenkins), dbt/Kafka integration. Excellent communication and problem-solving skills. Nice to Have ...

Data Engineer/Data Modeller. Strong expertise in data modelling (conceptual, logical, and physical). Experience designing data warehouses and data lake architectures. Strong SQL skills and understanding of relational and NoSQL databases. Experience with cloud data platforms (AWS, Azure, and/or GCP). Knowledge of data integration ...

provides a secure, cloud-hosted analytics workbench supporting modern analytics and data science workflows, including:- Notebook-based development environments (Python/R style workflows)- SQL-based querying and data transformation- Dashboarding and visualisation tools (e.g. Tableau, Power BI, Apache Superset or equivalent)- Cloud-native infrastructure (e.g. AWS-based environments)- Secure ...

teams Skills & Experience: Strong experience with .NET and C# Experience building RESTful APIs Good understanding of object-oriented programming Experience working with databases and SQL Familiarity with Git and agile development Nice to Have: Cloud experience (Azure or AWS) CI/CD exposure Mentoring or leadership experience Passion for Infrastructure ...

implement databases and collections systems, specifically in Azure DevOps environment, then this is the ideal next step for you. Tech environment: Python, Spark, SQL Agile practices Enterprise experience building data pipelines and data warehouses Azure DevOps - CI/CD pipelines Azure Cloud Synapse and ADF, ADB You'll be joining ...

during design, development, and maintenance of deliverables. Qualifications: BSc./MSc. in Computer Science or equivalent. Experience including 8+ developing and maintaining business applications. SQL/PLSQL, Python and shell scripting/programming experience are a must. Oracle RDBMS experience (versions 12+). Knowledge of Linux/Unix systems. Excellent ...

natural aptitude for analysis and problem-solving, a proactive attitude, and a desire to learn and grow in areas such as Power BI, SQL, and basic Python. Basic familiarity with data tools and technologies is essential, along with strong communication and influencing skills. You’ll have the flexibility to work ...

data standards and best-practice engineering patterns What you’ll bring Strong hands-on experience across Azure Data Services (ADF, ADLS, Synapse, Databricks) Excellent SQL skills, with experience in performance tuning and optimisation Solid understanding of data modelling (star schema, medallion, ETL frameworks) Ability to work with complex, inconsistent ...

data management, integration, or analytics for utilities or energy sectors. Strong knowledge of data fabric architectures, metadata management, and data governance principles. Experience with SQL, ETL tools, and big data technologies (e.g., Hadoop, Spark, Kafka). Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and data integration frameworks. Strong ...

data management, integration, or analytics for utilities or energy sectors. Strong knowledge of data fabric architectures, metadata management, and data governance principles. Experience with SQL, ETL tools, and big data technologies (e.g., Hadoop, Spark, Kafka). Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and data integration frameworks. Strong ...

data management, integration, or analytics for utilities or energy sectors. Strong knowledge of data fabric architectures, metadata management, and data governance principles. Experience with SQL, ETL tools, and big data technologies (e.g., Hadoop, Spark, Kafka). Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and data integration frameworks. Strong ...

data management, integration, or analytics for utilities or energy sectors. Strong knowledge of data fabric architectures, metadata management, and data governance principles. Experience with SQL, ETL tools, and big data technologies (e.g., Hadoop, Spark, Kafka). Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and data integration frameworks. Strong ...

data management, integration, or analytics for utilities or energy sectors. Strong knowledge of data fabric architectures, metadata management, and data governance principles. Experience with SQL, ETL tools, and big data technologies (e.g., Hadoop, Spark, Kafka). Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and data integration frameworks. Strong ...

Strong experience in data engineering roles Proven leadership or line management experience Hands-on experience with cloud platforms (AWS or Azure; GCP beneficial) Strong SQL skills and experience with relational databases Python development experience and familiarity with frameworks (e.g. Flask, Django) Experience building and orchestrating ETL pipelines (e.g. Airflow, Luigi ...

governance, coding standards, and data quality Balance strategic leadership with hands-on technical involvement About You Proven experience leading analytics or BI teams Strong SQL skills and experience with Power BI or Tableau Confident communicator able to translate complex insights for non-technical audiences Experience in project-based or Agile ...