... field recent graduates welcome. - 3+ years of CS, CE, ML or related field experience work - Foundational understanding of knowledge representation, semantic data systems, or graph databases (through coursework, research, or personal projects). - Familiarity with at least one graph query language (SPARQL, Cypher, or GQL) ...
... pgsql, tsql, plsql- Working knowledge on Data loads, ETL and data migrations- Expertise in building complex stored procedures, functions- Should have exp in database auditing and identifying performance bottle necks.- Good understanding on application lifecycle.- Expertise in database setup, user management & deployments- ...
... candidate-screening and interviewing skills Ability to work independently from home Reliable internet connection and professional work-from-home setup Strong computer and data-entry skills Good knowledge of recruiting processes and candidate sourcing Strong work ethic and consistent attendance Ability to meet measurable productivity ...
... strong Data Analyst background with the ability to work with Excel, SQL, web-scraped data, and databases , while also being comfortable supporting basic cloud database, software, and data-related troubleshooting activities . Since the application relies heavily on accurate data, the candidate should be able to identify data-related ...
... across technical and non-technical stakeholders. Preferred Qualifications - Experience with containerization technologies (Docker, Kubernetes). - Knowledge of data pipelines, data warehousing, or big data tools. - Familiarity with monitoring tools and performance optimization techniques. What’s in it for you? Pathways for ...
... and maintain scalable data pipelines for data processing and transformation Build and manage workflow orchestration using Apache Airflow Develop and maintain data models and transformations using dbt Work with BigQuery or similar cloud data warehouses for data storage and querying Manage and interact with cloud object storage ...
... quality, and observability. Build data pipelines: Develop robust batch and streaming pipelines (Kafka/Kinesis) to ingest, transform, and enrich large-scale event data (impressions, clicks, conversions, costs, identity signals). - Create data aggregates & marts: Data modeling & contracts: Define schemas, data contracts, and ...
DATA ENGINEER EXPERIENCE - 5-8 yrs WORK MODE - HYBRID Data Pipeline Development : Design, build, and optimize scalable ETL/ELT pipelines to process and transform data from various sources into Snowflake. Data Modeling : Build and maintain data models within Snowflake for optimized querying and reporting. Cloud Infrastructure ...
Opportunity Overview We are looking for a Data Engineer to build and optimize scalable data pipelines and analytical datasets on our AWS-based lakehouse platform. You will work with Apache Iceberg, AWS Glue, Athena, dbt, and Airflow to support reliable and efficient data processing for analytics and operational use cases. ...
... intelligent conversational interfaces. Role Overview: Position: Generative AI Chatbot & Azure Open AI with LLM and RAG Experience Required: 5+ years in GEN AI (Data Science) Location: Gurgaon /Bangalore /Hyderabad /Pune Employment Type: Permanent Notice Period: Preferred Immediate joiners Key Responsibilities: Design and ...
... expertise in database architecture, replication, clustering, performance tuning, and high-availability setups, along with hands-on experience in developing complex database applications, triggers, and stored procedures. Key Responsibilities Database & Cluster Management: Design, develop, and maintain databases and database applications ...
... Engineering, Data Science or a related field. 10+ years of hands-on experience in data engineering, with at least 5 years in a people management role leading data platform or data infrastructure teams. Deep expertise in data warehousing, data modeling (dimensional and Data Vault), ETL/ELT design and big data technologies. ...
... with demonstrated expertise in enterprise data management and related technologies - 5-10 years of data architecture experience - Thorough knowledge of Erwin Data Modeler - Thorough knowledge of data warehousing concepts and the ability to create a dimensional design - Strong understanding of data modeling best practices ...
... Shield key processes and know-how on Statistical and ML Guarantee highest ML utilization Education: Mathematics/Physics/Engineering with a master's in business/data analytics or proven track record on Data Science Proven track record of minimum 5 years as a data scientist Coding capabilities in R and/or Phyton Relationship/ ...
... databases for development, testing, production, and training. Designing and implementing database solution for support High Availability, Disaster Recovery, and Database Capacity Management. Be part of a global team that provided 24/7 databases support. Help Identify database tools which enable efficient database development, ...
... can work well independently and on team projects. - Experienced in analyzing business requirements, defining the granularity, source to target mapping of the data elements, and full technical specification. - Understands data dependencies and how to schedule jobs in Control-M. - Experienced working at the command line in ...
We are hiring for Senior Data Engineer (MS Fabric & Telecom) Work location: Bangalore, Karnataka, India Experince: 8 to 10 years Notice: Imdiate to 30 days only Role Overview As a Senior Data Engineer, you will be at the forefront of our data transformation, specifically architecting and building the next generation of ...
Pro Arch is seeking a Senior Data Engineer with 3-5 years of experience to join our Data & Analytics practice. In this role, you will design and deliver scalable data solutions, optimize performance, and enable advanced analytics across cloud platforms. You will work with large-scale datasets, modern cloud-native technologies, ...
... age AWS stack (S3, EMR, Redshift) or traditional BI & DW with interest in data mining and ability to sieve emerging patterns and trends from large amount of data. Data Engineer should have strong experience with all standard data warehousing technical components (e.g. ETL, Reporting, and Data Modeling), infrastructure ...
... identify opportunities to integrate data/insights into decision-making. Understand and translate business requirements from internal and external stakeholders into data product and features. Process, cleanse, and verify the integrity of data used for analysis. Conduct exploratory data analysis to verify the initial hypothesis ...