... Science & Supply Chain talent. Collect business requirements from the various stakeholders (Data Scientists, Product Managers, IM) High interest in developing E2E data solutions DevOps/ Agile WoW Experience in designing and building advanced reports Programming languages: Python, PySpark, SQL Data enthusiast Big data frameworks: ...
... reliable, high-quality data, driving excellence in analytics and shaping outcomes that impact industries like H ealthcare and Financial Services . Design and build Data Pipelines using GCP services and BigQuery. Develop and optimize data solutions using Java or Python. Ensure data quality, governance, and compliance across projects. ...
... PySpark, Snowflake, Delta Lake, Kafka, Kinesis, Airflow, and data engineering best practices. Collaborate with various teams and stakeholders to support end-to-end data platform delivery. Demonstrates strong ownership while driving data engineering excellence. Promotes quality-focused engineering through proactive validation, ...
... Kinesis, FireHose, Lambda, and IAM roles and permissions Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) Experience with dbt (data build tool) for transformation layer management and semantic modeling. Familiarity with data lakehouse ...
... risks from a DLP perspective. Participate in Architecture Review Board (ARB) reviews to ensure DLP/DAM/DSPM considerations are integrated. Manage and respond to data breaches and DLP incidents. Stay up to date with the latest DLP trends, threats, and technologies. People Management Foster an environment of learning, excellence, ...
... exposure to cloud - based enterprise data platforms.- Experience designing and implementing GenAI / LLM / RAG solutions.- Strong understanding of Lakehouse, Data Lake and Data Warehouse architecture.- Excellent knowledge of Data Modelling and enterprise data design.- Strong technical leadership, stakeholder management ...
... SQL. Develop and manage Vector Database pipelines for embedding storage and retrieval. Implement text normalization, sentence segmentation, deduplication, and data quality processes. Design and implement data masking, classification, and categorization solutions. Collaborate with AI/ML engineers to prepare datasets for model ...
... disruptions of the future. We are looking forward to hire Azure Data Lake (ADL) Professionals in the following areas : Role - Azure Data Engineer Azure Data Lake, Data Factory, Pipelines, Synapse (mandatory) SQL, Python, PySpark / Spark-SQL Web tech, relational DBs, data warehousing, ETL design Microsoft Certified Data Engineer ...
... (Pandas, Polars) and modern big data tools such as Databricks (Spark), Flink, or Kafka. - Strong understanding of data pipeline development, ETL frameworks, and data lakes/warehouses. - Extensive experience with cloud data platforms such as AWS (S3, Redshift, Lambda, Glue), GCP (BigQuery, Dataflow, Dataproc), or Snowflake. ...
... scalable data processing solutions using Big Data technologies and distributed system s Strong hands-on experience with Python and PySpar k for developing efficient data pipelines and applications Develop and optimize complex SQL querie s, data models, and database solutions Analyze and improve performance of Apache Spark workload ...
... processes to seamlessly integrate data from multiple sources into our data warehouse. Implement advanced data modeling techniques and design efficient, optimized databases to support complex business needs. Ensure the highest levels of data quality and integrity through rigorous data validation and cleansing processes. Collaborate ...
... understanding of data modeling, schema design, validation strategies, data transformation, and data quality management . - Experience designing solutions for data deduplication, entity resolution, data enrichment, classification, or record linkage . - Experience with both relational and document-oriented databases; practical ...
Experience: 3 -5 Years (In Data Analytics) Mode: Hybrid - Fulltime Location: Bangalore Must Have Skills: Advanced SQL, Complex queries, Business Analysis, Experimentation Prefer: Immediate Joiners/Serving Notice Key Skills & Qualifications: Advanced SQL expertise with strong proficiency in writing and optimizing complex ...
... Machine Learning, Scikit-learn, XgBoost, SQL GeoIQ (a Lenskart subsidiary) is India's leading hyperlocal location AI platform, helping businesses make precise, data-driven decisions using street-level intelligence across demographics, income, infrastructure, and commercial activity. As a Data Scientist, you will be a core ...
... including generative AI and LLM-based approaches - using enterprise business data, knowledge graphs, business process intelligence, and structured and unstructured data assets. - Learn SAP's deep data and process context - data models, metadata structures, and business process semantics across Order-to-Cash, Procure-to-Pay, Record-to-Report, ...
... Fivetran, DBT, Looker, and AWS. - Experience with infrastructure as code tools such as Terraform or Pulumi - Excellent communication skills, and can present data-driven narratives in verbal, presentation, and written formats. Experience building and managing a cloud deployed data lake Experience working with Kubernetes. ...
Data Scientist – Mortgage Analytics & AI Experience – 5 to 10 years About the Role We are looking for an experienced Data Scientist to join our team and help build the next generation of data-driven solutions for the mortgage and real estate industry. In this role, you will work at the intersection of data science, machine ...
... initiatives. Skills: - Data Collection: Ability to gather data from multiple sources effectively. - Data Cleaning: Basic techniques for preprocessing and cleaning datasets. - Python: Familiarity with basic Python for data manipulation. - SQL: Basic understanding of SQL for querying data. - Excel: Proficient in using Excel for ...
... MDX and DAX queries to retrieve and manipulate data. Integrate models with reporting tools such as Power BI, Excel, etc. to deliver dashboards and insights. Data Quality: Implement data quality checks, validation processes, and monitoring to ensure accuracy and consistency. Maintain compliance with data governance policies ...