... By 19 Oct' 26 Posted 1 week ago Job 236 applicants About the job As a Data Analytics Executive at Pepmedia Services, you will play a crucial role in driving data-driven decision making and enhancing business performance. You will have the opportunity to leverage your expertise in Python, Data Analytics, SQL, MS-Excel, ...
... build, and optimize high-throughput data pipelines using Python, R, and PostgreSQL to handle market and execution data. - Build and manage robust, scheduled data workflows using tools like Airflow/Dagster to ensure 24/7 data availability for global markets. - Monitor pipeline health, debug data discrepancies in logs, and ...
... proper operation of the printer. Take control of standard parameters. - Prepares, compiles, and sorts documents for data entry. - Verifies and logs receipt of data. - Transcribes source data into the required electronic format. - Transfers information from paper formats into computer files using keyboards, data recorders, ...
... ETL/ELT pipelines using tools like Informatica, Airflow, and Dataproc. - Data Warehousing: Develop and manage our data warehouse on Google BigQuery, ensuring data is accurate, available, and easily accessible. - Data Processing: Utilize Databricks and Python to process and transform large volumes of data efficiently. - ...
... events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. ...
... Identifies ways to improve data reliability, efficiency and quality of data management. ● Assesses the integrity of data from multiple sources. ● Works in tandem with Data Architects, Data Stewards and Data Quality Engineers to design data pipelines and recommends ongoing optimization of data storage, data ingestion, data quality ...
... responsible for entering, updating, and maintaining accurate data in oracle and system and databases. You will work closely with other team members to ensure data integrity and smooth daily operations. Key Responsibilities - Input order management data as applicable and release DJ (Discrete Jobs) data from system and files ...
... services, specifically S3 data storage, IAM access, and basic service integrations. - Salesforce Data Awareness: Experience extracting, querying, and staging data from Salesforce/Veeva CRM objects using standard APIs. - Data Modeling: Solid understanding of relational database structures and dimensional data modeling (Star/Snowflake ...
... scientific, data-driven system called Decision Mines for Digital Excellence. Job Description Job Summary: We are looking for an experienced lawyer with expertise in data protection laws to ensure compliance with global and regional privacy regulations, including GDPR and the India Digital Data Privacy Bill. Key Responsibilities: ...
... root cause analysis to improve data quality. Data Governance Define and implement data governance frameworks, policies, and standards. Ensure compliance with data quality, data privacy, and regulatory requirements. Establish data lineage, metadata management, and data stewardship practices. Monitor and improve data quality ...
Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. AWS AI Services Minimum 3 Year(s) ...
... Experience with system integration, implementation, upgrades, migrations, or technology modernization. - Good understanding of application, infrastructure, cloud, database, networking, or platform technologies relevant to the role. - Familiarity with automation, monitoring, DevOps, CI/CD, cloud platforms, or modern engineering ...
... model accuracy, scalability, and reliability. - Work with large and complex datasets to identify meaningful patterns, trends, and insights. - Collaborate with data engineering teams to establish effective data pipelines and ensure high-quality data availability for modeling. - Partner with product and business stakeholders ...
... OpenTelemetry**: Deep understanding of metrics, traces, logs formats and semantic conventions - **Database Knowledge**: PostgreSQL optimization for telemetry data - **Data Visualization**: Statistical analysis, correlation detection, anomaly identification through visual patterns - **Programming**: Python/Go for data pipeline ...
... bring We are looking for an experienced Data Governance Lead who can improve business processes through the practical use of data and AI, and deliver trusted data for enterprise solutions. You will bring: - At least 10 years of experience in data governance, data management or a related field. - Deep knowledge of data governance ...
... modeling) and modern AI systems (LLMs, Generative AI and agentic frameworks). The role requires strong applied modeling skills across structured and unstructured data, and experience deploying models into production environments. This position involves end-to-end ownership of data science initiatives, from problem framing and ...
... years of experience • Minimum 3 years of experience in design, build and deployment of Ab Initio-based applications • Expertise in handling complex large-scale Data Lake and Warehouse environments • Hands-on experience writing complex SQL queries, exporting and importing large amounts of data using utilities • Excellent verbal ...
... of data warehousing and Cognos system administration. The position involves effective understanding of business needs combined with a knowledge of pertinent data to design reporting solutions that are meaningful and well thought out based on business requirements, standards and best https://jobeax.com/link/FNdjbQ9nrPNcDOxi ...
... worldwide. Role Summary: The Data Architect is responsible for the design and evolution of our enterprise data architecture, with a strong focus on reusable data pipelines, data schemas & products, and modern data engineering practices. This role requires an AI-first mindset in data engineering and data modeling activities ...
... Time Series Forecasting techniques and real-world demand planning use cases. - Hands-on experience with Databricks , including Spark, notebooks, and distributed data processing. - Practical exposure to Machine Learning and Deep Learning model development and deployment. - Experience working with large, complex datasets in ...