... transformation initiatives. • Knowledge of SAP Finance modules (FI/CO), financial master data concepts, and finance-related business processes. • Experience with SQL, databases, and large datasets. • Familiarity with BI and reporting tools such as Power BI, SAP Analytics Cloud (SAC), or Tableau. • Exposure to data warehousing concepts ...
... professional experience in lieu of a degree - 5+ years of hands-on industry data engineering experience - Proficiency in SQL, Spark, Python - Hands-on experience with Databricks, AWS, Snowflake - Demonstrated strength in data modeling, ETL development, and data streaming. - Experience with AWS products including Lambda, Step Functions, ...
Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Data Engineering Minimum 5 ...
... data architecture, cloud platform design, or equivalent data-platform architecture.- Distributed Computing: 10+ years of experience working with distributed data processing or modern cloud data platforms, with strong hands-on exposure to Databricks, Spark, Snowflake, or equivalent technologies.- Data Architecture: Strong ...
... design, build, and operate high-reliability ETL pipelines across multiple FBA business domains, drive the DBT migration strategy, and establish monitoring and data quality frameworks. You will partner with Data Engineers, Business Analysts, and SMEs to ensure the data foundation meets strict accuracy, freshness, and documentation ...
... Qualifications Educational qualifications & Experience: Bachelor's degree in computer science, Information Security, or related field. 10–12 years of experience in data loss prevention, data discovery/classification, and database/data security. Experience with DSPM tools and integration in hybrid environments. Familiarity with ...
Data & AI ArchitectLocation: Hyderabad / Bangalore / PuneKey Technologies:Databricks | Microsoft Fabric | GenAI | LLM | RAG | PySpark | Data Lake | Lakehouse | Data Warehouse | Data ModellingRole Overview :We are looking for an experienced Data & AI Architect to design and lead enterprise - scale Data and AI architectures. ...
... 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 ...
... TO FULL TIME ) NEED ASAP ( START DATE 1st September) Data Engineer About the Role: As a Data Engineer, you'll design, build, and scale the data systems that analysts, business leaders, and products rely on every day. You'll work at the intersection of engineering and real business impact, turning raw data into something ...
... Bloomberg ticker, and custodian internal identifiers across all sources, handling corporate actions (mergers, ticker changes, share class conversions). Build the data quality monitoring framework: automated checks for completeness, timeliness, and reconciliation, with exception alerts to the operations analyst. Build the Document ...
Job Role: Senior Data Engineer- Implementation & Modernization Location: Experience: 8+ Years The Data Engineer is responsible for building and optimizing high-performance, large-scaled data solutions on modern cloud platforms. This role focuses on developing Senior Data Engineer- Implementation & Modernization The Data ...
... integration, primarily using Azure Databricks , Azure Data Lake , and Microsoft Purview . Pipeline Development – Design, build, and deploy robust ETL/ELT pipelines in Databricks (PySpark, SQL, Delta Lake) to ingest, transform, and curate governance and operational metadata from multiple sources landed in Databricks. Granular Data ...
... in end-to-end data transformation and pipeline development Detailed Job Description Mandatory Technical Skills: Snowflake Data Warehouse Python Scripting DBT (Data Build Tool) Apache Airflow Advanced SQL End-to-End ETL/ELT & Data Pipeline Development Key Requirements Strong hands-on experience in Snowflake data warehousing ...
... databases like OSIPI, PostgreSQL, Timescale and SQL.. - Developing applications and/or scripts utilizing Timeseries data. - Linux, Windows OS, Containers. - Data management and data integration strategies. - Amazon Web services and/or cloud technologies. - Visualization/reporting tools such as Tableau, Spotfire, Grafana, ...
... exposure to these technologies. ⚠️ If Databricks is not a core part of your recent hands-on experience, this role may not be the right fit. Job Title: Senior Data Engineer Specialization: Data Engineering | Databricks | Lakehouse | Data Platforms | AI-Ready Data Experience: 5+ Years Location: BNG | HYD | PUN | MUM | GGN ...
We're looking for a dynamic Senior Data Scientist to join our team, working alongside our founders, financial analysts, product managers, and engineers. This is your chance to get hands-on with massive datasets, crafting the metrics that matter to institutional investors worldwide. For those who are curious and passionate ...
... 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 ...