... administer, and enhance enterprise data management platforms and solutions. The ideal candidate will have experience in data governance, metadata management, master data management (MDM), cloud technologies, and enterprise applications. This role involves supporting platforms such as ER/Studio, EnterWorks, Collibra Data Catalog, ...
... visualization tools (Tableau/Power BI). - Basic understanding of statistical methods and financial analysis. - Strong business acumen with ability to translate data into strategic insights. - Excellent communication and documentation skills. - Good to have knowledge in AI tools, Agentic AI workflows (N8N, Zapier etc) Earn ...
... to apply today! - Experience in a SaaS or technology company, ideally with exposure to GTM, Finance, or R&D data - Familiarity with Salesforce reporting and data structures - Experience working with dbt, Snowflake, or similar modern data stack components - Exposure to data governance frameworks and metric catalogues - ...
... implementation, and optimization of enterprise data platforms and data products across the organization, while building and leading a team of data engineers. Works closely with senior business stakeholders, analytics leadership, data science teams, IT teams, and enterprise architects to define enterprise data strategy and ...
... proper documentation and approvals. Collaborate with business teams on data governance and compliance initiatives. Identify and implement best practices for data ingestion, data design, and data quality improvement. Develop queries for profiling data, validating analyses, testing assumptions, and driving data quality assessment. ...
... experience in BigData Development. ○ Strong Hands On Experience on Python, PySpark, Java Script, AWS, Cloud . Primary Skills ○ Knowledge of SQL and relational databases ○ Proficiency in developing, deploying, and debugging data-objects, and data transformation pipelines. ○ Expertise in data analysis methodologies ○ Exposure ...
Job Title : Data Support EngineerExperience : 1 - 3 YearsLocation : Bangalore / Chennai / HyderabadWork Mode : HybridRole Overview :We are looking for a proactive Data Support Engineer to join our data engineering team. The role involves supporting, monitoring, and troubleshooting data pipelines and ETL processes, ensuring ...
... continuous learning, and purposeful work. We drive efficiency, compliance, and innovation so our teams can focus on serving clients. Professionals in this group work as contributed team member under very moderate supervision. Professionals require certain level of work experience and assist the junior professionals. Typically ...
... and on‑premise ecosystems. The role requires deep expertise in conceptual, logical, and physical data modelling, semantic/ontology-based modelling, and modern data architecture patterns used in Data Warehouses, Data Lakes, Lakehouses, Big Data platforms, and Graph Databases. You will work closely with business stakeholders, ...
... systems that power decision-making across our merchandising, inventory, and e-commerce teams. In this role, you'll build and maintain Python data pipelines, SQL data lake storage, and QlikSense reports and dashboards used by teams across the business. You'll work directly with US-based stakeholders to turn ad hoc data requests ...
... AWS Glue, Pyspark, SQL, ETL, Unix, Iceberg, Astronomer, DW concepts Strong understanding of data pipeline architecture and design principles. Experience with data warehousing solutions and ETL processes. Familiarity with cloud computing services and data storage solutions. Ability to troubleshoot and optimize data workflows ...
... reporting workflows Translate business needs into technical solutions by designing data models and reports Perform exploratory data analysis and implement automated data quality checks Optimize data feeds and ensure timely data availability using Change Data Capture and other approaches Maintain data governance by enforcing best ...
... tools, writing complex SQL queries.- Data preparation, data analysis, identify insights from raw data.- Analyses metrics, key indicators and other available data sources to discover root causes of process defects.- Experience in articulating and translating business questions using statistical techniques.- Good working ...
... Spark/PySpark.- Build and manage data workflows using Azure Data Factory, Azure Databricks, and Synapse Analytics.- Design and implement ETL/ELT processes for data ingestion and transformation.- Integrate data from multiple sources and ensure reliable data movement across platforms.- Optimize data processing jobs, queries, ...
... Hands-on with LLMs, RAG, agentic frameworks (e.g., LangChain, LangGraph, MCP). Strong Python/ML stack, REST/gRPC integration, vector DBs. SAP BTP & HANA experience Databricks or similar data pipelines. Nice to Have: Certifications: Data Engineering Certified Professional or similar certifications. Machine Learning: Knowledge ...
... for batch and real-time data processing. Build and optimize ETL/ELT workflows to collect, transform, and load data from multiple sources. Develop and maintain data models, data warehouses, and data lakes. Ensure data quality, consistency, accuracy, and reliability across data pipelines. Optimize data processing workflows ...
... debugging, and code quality best practices. Good understanding of data engineering fundamentals and advanced concepts. Experience building scalable and fault-tolerant data pipelines. Strong knowledge of CI/CD, automated testing, and production deployments. Understanding of Medallion Architecture, data modeling, data quality, and ...
... generation Good working knowledge of Statistics and sample methodologies Dashboard design and development in Tableau Problem Solving Understanding the Problem Data Cleaning and Preparation Data Interpretation Data Visualization Basics of DS / ML Good working knowledge of Advanced Analytics, Basics understanding of DS / ML ...
... cross-organizational and cross-divisional projects automating our data value chain processes Promoting technical best practices throughout the data organization Design data architecture that is simple and maintainable while enabling Data Analysts, Data Scientists, and stakeholders to efficiently work with data. Mentor data team members ...