Front face customer to understand data requirements and analyse data Build solutions and systems to manage data and analytics workload Improve reliability, quality, and time-to-market of our suite of software solutions. Responsibilities: Using SQL/Python to extract data from primary and secondary sources Performing analysis ...
... orchestration - Familiarity with CI/CD pipelines and DevOps practices - Strong problem-solving and analytical skills Preferred Qualifications: - Experience with data lakes and big data technologies - Knowledge of AWS security and compliance best practices - AWS certifications (e.g., AWS Certified Developer or Solutions Architect) ...
Job Description:As part of the Analytics team, the Analytics Azure Data Engineer must possess the following skills:- Experience with Azure data services including Azure Data Lake, Azure Data Factory, Azure Data Pipelines, and Synapse Analytics is mandatory.- Expertise in SQL, Python, Py-Spark or Spark-SQL.- Expertise to ...
... skilled and experienced Senior Data Engineer to join our growing data team. In this role, you will lead the design and implementation of scalable, high-performance data pipelines using Snowflake, dbt, and Matillion Data Productivity Cloud, define architectural best practices, and drive data transformation at scale. You will work ...
... internal, and external audits - 3-5 years relevant work experience in Accounting, Finance, or related fields - Chartered Accountant or equivalent qualification - Big Four or Software-as-a-Service (SaaS) revenue accounting experience is a plus - Full professional proficiency in English is a must - Strong data analytical skills ...
... manage Amazon DynamoDB data models to ensure high performance, scalability, and reliability.- Ensure data quality, integrity, security, and consistency across data pipelines and storage solutions.- Collaborate with application developers, cloud engineers, data architects, and business stakeholders to deliver robust data ...
... Pinecone, Weaviate, ChromaDB, FAISS, or HANA Cloud Vector Engine. Cloud AI platforms: SAP BTP (primary), AWS, Azure, or GCP. Kubernetes/Docker, CI/CD for AI systems. Data Engineering: Spark/Databricks, data pipeline design, and big-data ecosystems. HANA Cloud query design and optimization. SAP Ecosystem Knowledge Hands-on experience ...
... fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Senior Associate Director, Data and Analytics In this role, you will: - Lead the technical design and build of IT systems , adding AI features aligned to business value. - Set the technical ...
... etc Design & develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities. Experience handling un-structured data, working in a data lake environment, leveraging data streaming and developing data pipelines driven ...
... high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across ...
... Tekion connects the entire spectrum of the automotive retail ecosystem through one seamless platform. The transformative platform uses cutting-edge technology, big data, machine learning, and AI to seamlessly bring together OEMs, retailers/dealers and consumers. With its highly configurable integration and greater customer ...
... Here's what you will get to experience as an Airtel employee: You get to go above and beyond to take responsibility, challenge the norms and take risks to create big things in more ways than one. You have the freedom to imagine, and an open canvas available to you to experiment and implement new ideas to gain depth and breadth ...
... Aug 26 - Planning for 2 skills GCP Data engineer - 11 positions , Band E - 8+ yrs Data Analyst - 17, Band E - 8+ yrs Location : Chennai/ Hyderabad/Bangalore Data analyst - JD Advanced SQL (BigQuery ideally) for querying and data manipulation Data quality checks, validation and reconciliation Working knowledge of data warehouse ...
... stakeholders. Data Engineering Data Warehousing Data Modelling ETL / ELT Development Data Integration Data Quality Management Data Reconciliation Data Governance Data Lineage & Metadata Management Oracle Database Advanced SQL / PLSQL SAP BODS Oracle Data Integrator (ODI) Python Unix / Linux Performance Tuning Data Analysis ...
... analysis.- Develop data engineering solutions using Python.- Optimize ETL processes for performance, scalability, and reliability.- Monitor and troubleshoot data pipelines and resolve data quality issues.- Implement best practices for data modeling, database design, and data governance.- Collaborate with data scientists, ...
... at least one AI-augmented data pipeline: consuming LLM API responses as structured data, building feature tables for ML models, or constructing prompt-context data layers for generative AI workflows. Hands-on experience with GCP AI and data services: Vertex AI, Cloud Run, BigQuery, API Gateway, or Pub/Sub—specifically in ...
... restore testing. Execute recovery operations and point-in-time recovery, and take part in disaster recovery drills and documented failover exercises. Manage data movement activities including Data Pump exports and imports, non-production refreshes, and database cloning. Mentor junior engineers, review their work and raise ...
HIRING | DATA SCIENTIST We are hiring an experienced Data Scientist for TrueiD Private Limited . Location: Hyderabad Experience: 7–12 Years CTC: ₹42–45 LPA Industry: IT Notice Period: Immediate to 15 Days Employment Type: Full-Time Key Responsibilities - Design, develop and deploy advanced Machine Learning and Data Science ...
... NoSQL databases, data modeling (conceptual, logical, and physical), performance tuning, and database design best practices. Experience architecting and managing Data Warehouses, Data Lakes, and Lakehouse architectures to support enterprise reporting, analytics, and AI/ML workloads. Advanced knowledge of Big Data technologies ...