... performance for cost efficiency. Data Quality, Governance & Security Build custom data quality (DQ) frameworks with rule-based validation. Apply row/column-level security and data masking policies. Manage secure secrets using Azure Key Vault / AWS Secrets Manager. Pipeline Reliability & DevOps Set up monitoring, logging, and alerting ...
... team members - Troubleshoot and resolve data pipeline issues in production environments Collaboration & Knowledge Sharing - Work closely with data architects, analysts, and business stakeholders - Collaborate with Infrastructure (Infra), Applications (Apps), and Cyber teams - Share knowledge and best practices with Team ***** ...
... orchestration, AWS cloud services, data visualization, distributed architectures, and modern data engineering https://jobeax.com/link/TtkK7BHPbancvnFq Responsibilities:- Design, develop, and maintain scalable ETL/ELT data pipelines.- Build and manage distributed and event-driven architectures for large-scale data processing.- ...
... - Strong engineering mindset — you build it, you own it, you operate it Nice-to-Have Experience with Kafka, Kinesis, or Event Hubs for event streaming Familiarity with dbt for ELT and data testing Great Expectations or Deequ for data quality Docker / Kubernetes for containerized data services Knowledge of data security ...
... Storytelling- translate technical findings into clear, actionable recommendations for non-technical stakeholders, including senior leadership. 3-4 years of experience in data science, analytics, or a related quantitative role, ideally handling large, real-world datasets. - Strong hands-on skills in Python and SQL, with solid fundamentals ...
Kroll is hiring a Senior Data Scientist to join its Enterprise Data Group. This role is designed for an experienced practitioner who can lead end-to-end ML initiatives, mentor junior team members, and partner with business and engineering stakeholders to translate complex problems into production-grade data science solutions. ...
... development of scalable, data-intensive solutions that drive meaningful business impact. As a leader who is still technically involved , you will mentor and manage data scientists and analysts while having the ability to guide the team through evaluating, selecting, and implementing the right models , paired with an understanding ...
... of the Data Science/Engineering team at MoEngage, here are some things you can expect: Work with A players (some of the best talents in the country), and expedite your learning curve and career growth Explore the latest in topics like Data Pipeline, MongoDB, ElasticSearch, Spark, LLM and share with the team and more importantly, ...
... documentation. Experience with Snowflake . Experience with Azure data technologies , including Azure Data Factory, Synapse, Databricks, or Fabric. Experience with AWS Step Functions, Airflow/MWAA , or similar orchestration tools. Familiarity with data governance, metadata management, and data quality practices. AWS certifications. ...
... Configure and manage data storage solutions, including relational databases, data warehouses, and data lakes. Develop and implement data quality checks and monitoring processes. Automate data platform deployments and operations using scripting and DevOps tools (e.g., Ensuring compliance with data governance and security ...
... alternative data streams (bank transactional data, logs, credit bureau reports, structured/unstructured digital signals) to extract predictive signals. - Partner with Credit Risk Strategists to translate model outputs into actionable credit limits, cutoff thresholds, and loss-forecasting simulations. - Platform Architecture: ...
... development of scalable, data-intensive solutions that drive meaningful business impact. As a leader who is still technically involved , you will mentor and manage data scientists and analysts while having the ability to guide the team through evaluating, selecting, and implementing the right models , paired with an understanding ...
... metadata management, lineage mapping (ADF, Synapse, Power BI), data classification, and security governance (PII/PCI/PHI, sensitivity labels, MIP/DLP).- Experience with data governance tools such as Informatica (Axon), Collibra, Atlan, or IBM IG Catalog.- Experience integrating governance with the Azure data stack (Data Lake, ...
... with modern ML frameworks (scikit-learn, XGBoost/CatBoost, TensorFlow/PyTorch) and data manipulation libraries (pandas, polars, numpy) - Hands-on experience with cloud platforms such as Azure and/or Databricks for deploying and managing ML models and solutions - Experience with version control (Git), collaborative development, ...
... https://jobeax.com/link/6P8s6hBOPJeiA62U will work closely with data scientists, analysts, product engineers, and other engineering teams to build a modern, cloud-native data https://jobeax.com/link/2Y4cCTL2qZrUlGJ5 You'll Do : - Design, build, and maintain robust batch and streaming data pipelines that ingest data from multiple sources ...
India, Gurugram
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UNISON INTERNATIONAL CONSULTING (The Recruitment Company)
... On-site | Full-time Experience: 0–5 Years Good typing speed with strong accuracy Proficiency in MS Excel, MS Word & Google Sheets Strong attention to detail and data accuracy Ability to manage and organize large volumes of data Basic computer and internet skills Familiarity with data entry, documentation, and record maintenance. ...
... reporting, and business intelligence solutions. Optimize database performance, query execution, and data workflows. Ensure data governance, security, and scalability standards are maintained. Strong experience with Neo4j Graph Database. Expertise in Graph Database concepts and Graph Data Modeling. Hands-on experience with ...
... models Strong problem-solving skills with the ability to work in a hybrid setup Responsibilities Develop and optimize ML/GenAI models for business use cases Work with large datasets using PySpark and SQL Collaborate with engineering and product teams to design scalable solutions Generate actionable insights through data analysis ...
... systems. It requires protocol and data-format troubleshooting across REST, Microsoft Graph, GraphQL, gRPC, JSON, XML, encoded/compressed payloads, and binary data, together with resilience patterns, Kubernetes delivery, database integration, and secure LLM API https://jobeax.com/link/LMrjeOxMWhdXVNNX Responsibilities :- ...
... late-arriving data patterns - Experience with orchestration and transformation tooling (e.g., Strong data quality discipline: automated tests/expectations, monitoring/alerting, and clear SLAs for critical datasets - Comfortable working hybrid in Bengaluru (Whitefield) and overlapping 3–4 hours with EST Bonus Points: Deep ...