... years + in delivery type role Familiarity with functional programming concepts. Experience with the Scala programming language. Experience with Apache Spark for big data processing. Familiarity with data processing and ETL (Extract, Transform, Load) concepts. Experience working with relational and/or NoSQL databases Experience ...
... if not Hadoop), Expert in at least one scheduling/orchestration tools ( Airflow, alternatively AWS Step Functions or similar) Expert with relational and NoSQL databases. Expert in data structures, data serialization formats (JSON, AVRO, Protobuf, or similar), and big-data storage formats (Parquet, Iceberg, or similar) Proficiency ...
... business and technology stakeholders to translate complex business problems into scalable, data-driven https://jobeax.com/link/XnflZD2dGSZYgXFG Responsibilities :1. Data Science Strategy & Leadership :- Define and execute the data science roadmap aligned with business objectives.- Lead multiple data science projects from problem ...
... Matplotlib, Seaborn Big data exposure: Spark / PySpark (good to have) Version control: Git / GitHub Cloud exposure: AWS, Azure, or GCP Data platforms: Snowflake / BigQuery / Redshift (preferred) Understanding of ETL and data pipelines Business & Domain Exposure: Ability to convert business problems into data-driven solutions ...
Experience :- 10+ years of overall IT / Consulting experience.- 7+ years of experience in Data Engineering, Big Data, Analytics, or related technologies.- 68+ end-to-end Databricks implementation projects.- Proven experience in Solution Architecture with strong client-facing https://jobeax.com/link/IXwRnieoNiHPNkEB Technical ...
... services using Django. Design and implement scalable and secure APIs. Integrate Azure Cloud services for application deployment and management. Utilize Azure Databricks for big data processing and analytics. Implement data processing pipelines using PySpark. Collaborate with front-end developers, product managers, and other ...
... a related field, preferably from a premier institution (NIT or IIT).Cloud Infrastructure:- Familiarity with major cloud environments (AWS, GCP, or Azure).Big Data Technologies:- Exposure to distributed computing frameworks like Apache Spark, streaming platforms like Kafka, or cloud data warehouses (e.g., Snowflake, BigQuery, ...
... as Azure, AWS, or GCP—including their AI/ML services such as Azure OpenAI, AWS Bedrock, or Vertex AI—as well as container orchestration (Kubernetes, Docker), Big Data, Databricks, CI/CD at platform scale, and distributed systems. Prior experience with AI control-plane and agent-runtime patterns: model/LLM gateway, A2A ...
Celebal Technologies is a leading Solution Service company that provide Services the field of Data Science, Big Data, Enterprise Cloud & https://jobeax.com/link/QVLhmNzaEhBG8ZTE are at the forefront of leveraging cutting edge technologies to drive innovation and enhance our business https://jobeax.com/link/or26omectpEQm8Bt ...
... Experience with MongoDB, Redis, Cassandra, and Elasticsearch . Experience with Docker, Kubernetes, and CI/CD pipelines. Familiarity with DevOps practices and distributed systems. Exposure to machine learning and big data technologies. Experience & Education Experience: 8-12 years Bachelor's degree in Engineering or equivalent
... in a Big 4 / GDS / large enterprise infra environment - Open-source contributions or published POCs in AI/agentic systems Soft Skills - Ability to translate ambiguous infra pain points into AI-solvable use cases - Strong stakeholder management — bridges infra teams, data science teams, and business - Comfortable being hands-on ...
... when https://jobeax.com/link/0a2QmNkVhUZFALjk Candidate will have :- Experience with Agentic AI, Generative AI, LLMs, and prompt engineering.- Experience with big data technology stack (Hadoop, Spark, HDFS, EMR, Glue).- Experience with AWS, Azure or GCP.- Experience with Databricks/SageMaker/DataRobot, MLFlow or other ML ...
... Microsoft Fabric components (Lakehouse, Data Factory, Power BI, Real-Time Analytics).- Deep expertise in big data processing (Spark/PySpark).- Advanced knowledge of data modeling techniques (Dimensional, Data Vault, Medallion).- Proficiency in SQL, distributed data systems, and data orchestration frameworks.- Experience with Delta ...
... experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)
... Senior Data Engineer You will play a pivotal role in driving business outcomes through effective data management and analysis. Enhancing Decision Making with Data Ensuring Data Security and Compliance Future Trends in Data Engineering Design and develop highly reliable and scalable data pipelines and data platforms with ...
... and manages vendors engaged in big data analysis. - Designs data mining frameworks and statistical protocols to extract and monitor patterns within high-volume datasets across functional business domains. - Applies cutting-edge data science principles and machine learning techniques to create models that support strategic ...
... conception to delivery in Data & Analytics area Good understanding of data modelling and building clean, scalable pipelines. Experience with ETL tools and integrating data from multiple sources. Strong knowledge of data management, data warehousing, and big data technologies. Proficiency in data analytics tools and programming languages ...
... time, detect data or concept drift, and provide timely, actionable feedback for retraining or recalibration as needed. - analyze and interpret large, complex datasets from distributed databases to generate and provide valuable actionable insights to stakeholders using big data technologies like scala-spark/pyspark. - drive ...
... analytics or data science, preferably in retail, eCommerce or consumer internet Technical Skills:SQL: Expert in querying and transforming large-scale structured data. Python: Skilled in data analysis, modeling, and automation (pandas, NumPy, scikit-learn, statsmodels, etc.). Big Data Tools: Familiarity with Hive, Spark Visualization: ...