... 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 data reliability and smooth operations across Snowflake-based data https://jobeax.com/link/tlplQAnK5B36KMXq Responsibilities ...
... written and verbal communication skills - Great analytical, critical thinking and problem-solving abilities - Excellent skills on PL/SQL and good exposure to data transformation language like python - knowledge of AWS, Java Basic, API, databases - 5 or more years of Data Analyst experience - Bachelors degree or higher in ...
Data Modeller / Data Engineer Location – PAN India As a Senior Data Modeller / Data Engineer, you will be responsible for designing and implementing enterprise‑grade data models and scalable data engineering solutions across cloud and on‑premise ecosystems. The role requires deep expertise in conceptual, logical, and physical ...
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. Must have skills : Apache Spark, ...
... and ELT pipelines while working with Data Analysts Design and implement scalable, automated processes for data extraction, processing, and analysis within a Data Mesh architecture Act as a subject matter expert for data technologies and solutions Improve efficiency in data ingestion, transformation, and reporting workflows ...
... processing jobs, queries, and pipelines for performance and scalability.- Perform data validation, quality checks, and troubleshooting of pipeline failures.- Monitor data pipelines and resolve issues across development and production environments.- Collaborate with data scientists, analysts, and technology teams to deliver data ...
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. Must have skills : Data Engineering ...
... 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 ...
... pipelines to ingest, transform, and validate data from marketplace, inventory, and sales sources Build and maintain SQL data lake storage so historical and change data stays available for analysis Automate recurring data jobs (e.g., via Rundeck) and monitor them for failures and data anomalies Use AI tools to accelerate pipeline ...
... 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 ...
... 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 ...
... and become an SME. Required active participation/contribution in team discussions. Contribute in providing solutions to work related problems. Collaborate with data scientists and analysts to understand data needs and provide necessary data solutions. Monitor and optimize data pipelines for performance and reliability. Professional ...
... legal entity. You will be part of a world-class Data Engineering team, where you will: inform Data Science and Analytics Platform teams partner closely with data consumers and producers to ensure quality and usefulness of data assets You will be involved in strategizing measurement, collecting data, and generating insights. ...
... platform stability. Collaboration - Work closely with Data Analysts, Architects, Business Teams, and Vendors. Overall years of experience 8+ years of experience in Data Engineering and Enterprise Data Platforms. Relevant years of experience 5+ years of hands-on experience with SQL, Hadoop/Cloudera, Azure Data Platform, Databricks, ...
... 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 data reliability and smooth operations across Snowflake-based data https://jobeax.com/link/tlplQAnK5B36KMXq Responsibilities ...
... continuous improvement of operational processes. Skills and Experience: 3-4 years of progressive experience in data engineering, with expert-level mastery of Azure Data Factory, SQL, and cloud data platforms (Azure and/or GCP). - Proven expertise in designing, optimizing, and managing large-scale, production-grade data pipelines, ...
... 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 ...
... us a competitive advantage. Data Analyst – Data Cleansing, Data Quality & Data Conformance We are seeking a detail-oriented Data Analyst to support enterprise data initiatives by ensuring high-quality, accurate, and standardized data across business systems. The role involves data cleansing, quality assessment, data conformance, ...
Design and implement data pipelines for supply chain data (e.g., inventory, shipping, procurement). - Develop and maintain data warehouses and data lakes. - Ensure data quality, integrity, and security. - Develop data models and algorithms for predictive analytics (e.g., Implement data visualization tools (e.g., Tableau, ...
... science-oriented work based on skills and project needs. Gather and support delivery work - Work on real-world projects with guidance from experienced developers and analysts. - Support data science tasks such as exploratory analysis, feature preparation, hypothesis testing, and pattern detection. - Assist with simple experimentation, ...