... 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 ...
... technical prototyping, and evaluating experimental criteria. - Applies specialized knowledge within the Commercial data domain. What Should you have: - BS Computer Science or related field with 3 – 5 years of working experience with Data Engineering. - Core Languages: Proficient in SQL and Python for data manipulation, ETL pipeline ...
... clauses and other relevant data protection documents. Program Management: Oversee the companys global privacy program, ensuring adherence to privacy laws and internal policies. Lead the execution of the India Digital Data Privacy Bill. Compliance Monitoring: Establish frameworks for ongoing monitoring of privacy compliance ...
... 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 ...
... reviews, and promote best practices across the data science team. - Stay updated with advancements in machine learning, deep learning, generative AI, and emerging data science methodologies. Must-Have Skills - 8–13 years of professional experience in Data Science, Machine Learning, or a closely related field. - Strong hands-on ...
... 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 ...
... senior stakeholders. - Experience governing enterprise-scale data products and applying modern data practices such as FAIR data, DCAM, ALCOA+ or pharmaceutical data standards. - Strong leadership, communication and influencing skills in a matrix organisation. - A master’s degree in data science, computer science, information ...
... manage projects in environments with evolving requirements and timelines. Required Qualifications, Experience & Skills: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field. Experience: - 3+ years of professional experience in data science or applied ...
Bachelor's degree in a quantitative field (such as Engineering, Computer Science, Statistics, Econometrics) and a minimum of 3 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 ...
... members of IT, including business analysts, database administrators, and managers, to design and develop Cognos reporting capability- Exhibit a commitment to data quality by validating results against sources specified in the requirements- Develop and maintain stored procedures- Write and support queries against databases ...
... 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 ...
... improving technical safeguards that protect sensitive corporate and customer data across cloud, endpoint, and enterprise environments. As a subject matter expert in data security and privacy engineering, this individual deploys and tunes data discovery, classification, DLP, encryption, and key management controls. The Data Protection ...
... Stay updated with the latest trends and technologies in data engineering and cloud https://jobeax.com/link/tc87s3O0UluGFFwp Skills :- ADF, SQL, Pyspark, Python, DatabricksQualifications :- Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.- Proven 6+ years of experience as a Data Engineer, ...
... features and data contracts. Build and ship models to: Enhance customer experiences and personalization Boost revenue via pricing/discount optimization Detect and block fraud/risk in real time Collaborate with Engineering to productionize via APIs/CI/CD/Docker on AWS. Build monitoring for model/data drift and business KPIs
... Stay updated with the latest trends and technologies in data engineering and cloud https://jobeax.com/link/tc87s3O0UluGFFwp Skills :- ADF, SQL, Pyspark, Python, DatabricksQualifications :- Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.- Proven 6+ years of experience as a Data Engineer, ...
Data Engineer: PySpark+AWS Glue 4-8 years in Data Engineering with hands-on expertise in Snowflake, AWS Glue, AWS (S3/Lambda/CloudWatch), Python, PySpark, and SQL. Strong experience in ETL/ELT, Data Warehousing, Data Pipelines, Performance Tuning, and Cloud Data Platforms. Exposure to AI/ML or GenAI solutions is a plus ...