proactive awareness of industry standards, regulations, and developments. Ideally, you'll also have: Experience of Relational Databases and Data Warehousing concepts. Experience of Enterprise ETL tools such as Informatica, Talend, Datastage or Alteryx. Project experience using the any of the following technologies: Hadoop, Spark, Scala, Oracle, Pega, Salesforce. Cross and multi-platform experience. Team building and leading. You must be More ❯
complex and disparate data sets and communicate clearly with stakeholders Hands-on experience with cloud platforms such as AWS, Azure, or GCP Familiarity with traditional ETL tools (e.g., Informatica, Talend, Pentaho, DataStage) and data warehousing concepts Strong understanding of data security, compliance , and governance best practices Experience leading or influencing cross-functional teams in a product or platform environment Strong More ❯
Should have strong implementation experience in all the below technology areas (breadth) and deep technical expertise in some of the below technologies Data integration – ETL tools like IBM DataStage, Talend and Informatica. Ingestion mechanism like Flume & Kafka. Data modelling – Dimensional & transactional modelling using RDBMS, NO-SQL and Big Data technologies. Data visualization – Tools like Tableau Big data – Hadoop eco-system More ❯
Should have strong implementation experience in all the below technology areas (breadth) and deep technical expertise in some of the below technologies Data integration – ETL tools like IBM DataStage, Talend and Informatica. Ingestion mechanism like Flume & Kafka. Data modelling – Dimensional & transactional modelling using RDBMS, NO-SQL and Big Data technologies. Data visualization – Tools like Tableau Big data – Hadoop eco-system More ❯
Pandas, NumPy, and FastAPI. Experience with weather and climate datasets and tooling (e.g., Copernicus, Xarray, Zarr, NetCDF). Experience with ETL tools and frameworks (e.g., Apache Airflow, Apache NiFi, Talend). Strong understanding of relational databases and SQL. Experience with cloud platforms (e.g., AWS, GCP, Azure) and their data services. Familiarity with data warehousing solutions (e.g., Redshift, BigQuery, Snowflake). More ❯
tools Strong hands-on experience with cloud data platforms, specifically Google Cloud Platform - BigQuery Experience with leading ETL/ELT tools and data pipeline orchestration (e.g., Dataflow, Apache Airflow, Talend, Informatica) Advanced SQL skills and deep knowledge of various database technologies (relational, columnar, NoSQL) Practical experience in establishing data governance frameworks, data quality initiatives, and Master Data Management solutions Understanding More ❯
tools Strong hands-on experience with cloud data platforms, specifically Google Cloud Platform - BigQuery Experience with leading ETL/ELT tools and data pipeline orchestration (e.g., Dataflow, Apache Airflow, Talend, Informatica) Advanced SQL skills and deep knowledge of various database technologies (relational, columnar, NoSQL) Practical experience in establishing data governance frameworks, data quality initiatives, and Master Data Management solutions Understanding More ❯
tools Strong hands-on experience with cloud data platforms, specifically Google Cloud Platform - BigQuery Experience with leading ETL/ELT tools and data pipeline orchestration (e.g., Dataflow, Apache Airflow, Talend, Informatica) Advanced SQL skills and deep knowledge of various database technologies (relational, columnar, NoSQL) Practical experience in establishing data governance frameworks, data quality initiatives, and Master Data Management solutions Understanding More ❯
Database Tuning/Performance Diagnostics: In-depth understanding of execution plans, indexes, and session performance tools. Experience with Data Quality Tools or Frameworks: Exposure to tools like Informatica DQ, Talend DQ, Collibra, or custom-built DQ engines. Familiarity with Data Governance Practices: Understanding of data stewardship, lineage, and regulatory reporting requirements (e.g., BCBS 239, GDPR). Experience in Financial Services More ❯
communication skills, both written and verbal. Nice to Have: Understanding of double-entry accounting principles or experience working with financial or accounting data. Experience with tools such as SSIS, Talend, Pentaho, or custom ETL scripting frameworks. Knowledge of writing and executing stored procedures, triggers, or database functions. Familiarity with source control tools and Agile methodologies. Job Benefits At Dye & Durham More ❯
business owners with profiling, validation, and documentation best practices Experience: 5+ years in a data leadership or analytics-focused role Strong expertise in Python, SQL, SAS and tools like Talend, Informatica, IBM InfoSphere Proven experience managing large datasets and solving complex data challenges Excellent communication and stakeholder engagement skills Ability to influence and inspire change across technical and commercial teams More ❯
business owners with profiling, validation, and documentation best practices Experience: 5+ years in a data leadership or analytics-focused role Strong expertise in Python, SQL, SAS and tools like Talend, Informatica, IBM InfoSphere Proven experience managing large datasets and solving complex data challenges Excellent communication and stakeholder engagement skills Ability to influence and inspire change across technical and commercial teams More ❯
Sand Technologies is a fast-growing enterprise AI company that solves real-world problems for large blue-chip companies and governments worldwide. We're pioneers of meaningful AI : our solutions go far beyond chatbots. We are using data and AI More ❯
Sand Technologies is a fast-growing enterprise AI company that solves real-world problems for large blue-chip companies and governments worldwide. We're pioneers of meaningful AI : our solutions go far beyond chatbots. We are using data and AI More ❯
For: Deep Understanding of Data Management: Proven expertise in data quality, governance, security, and metadata management. Proficiency in Data Management Tools: Strong technical skills in tools like Informatica, Collibra, Talend, and Erwin. Data Modelling and Architecture: Ability to design and implement complex data models and architectures. Analytical and Problem-Solving Skills: Proficiency in data analysis, problem-solving, and decision-making. More ❯
relied upon to ensure our systems are trusted, reliable and available . The technology underpinning these capabilities includes industry leading data and analytics products such as Snowflake, Tableau, DBT, Talend, Collibra, Kafka/Confluent , Astronomer/Airflow , and Kubernetes . This forms part of a longer-term strategic direction to implement Data Mesh, and with it establish shared platform s More ❯
