... values driven company, we hire people who share our values, and we reward those who display and foster them, it’s deeply embedded within our DNA. 5+ Years as a Data Engineer Consultant Senior, you will design, build and support modern data and analytics solutions for clients. You will translate business needs into secure, ...
Job Description – Data Engineer Experience: 5–7 Years Role: Sr. Data Engineer Department: Data Engineering / Product Engineering Role Overview We are looking for an experienced Data Engineer with 5–7 years of hands-on experience in ETL/ELT, database engineering, Big Data processing, and complex bi-directional data integrations ...
... tracking in making AI-ready and critical data sources available for innovation Drive insight into areas of efficiency and risk through consolidation and reengineering of data flows Lead data quality issue root cause analysis using deep data profiling and advanced analytics techniques, then fix the cause and embed uplifted ...
... years of professional experience in data engineering, with a focus on data modelling and transformation. Programming: Strong proficiency in SQL and Python for data processing and pipeline development. Data Platforms: Hands-on experience with Snowflake, dbt, and modern cloud data warehouses. Data Modelling: Deep experience ...
... data. Working under the guidance of an experienced Data Engineers and Architects, you will gain hands-on experience designing and maintaining scalable, efficient data pipelines that support enterprise web applications, analytics, and business intelligence. We are seeking a Lead Data Engineer to join our Measurement team within ...
Role Purpose This role is responsible for driving enterprise-wide data engineering strategy. It ensures the design, implementation, and continuous improvement of data pipelines, scalable and reusable frameworks, and implement data governance and data quality engines. The position enables trusted, governed data across systems, ...
... Engineer Professional Additional Certifications (Preferred) - Databricks Certified Associate Developer for Apache Spark - Cloud platform certifications (Azure Data Engineer Associate, AWS Certified Data Analytics, or Google Cloud Professional Data Engineer) - Relevant data engineering or big data certifications Soft Skills ...
Role: Senior Data EngineerExperience: 7+ YearsLocation: PuneJoining: Immediate to 30 Days' Notice PeriodRole Summary:We are looking for a skilled Sr. Data Engineer with strong expertise in Python and cloud-native technologies to design, develop, and maintain scalable data pipelines and distributed systems. The ideal candidate ...
... Knowledge of data security patterns: PII masking, tokenization, column/row-level security Informatica, ODI, or SSIS exposure Education & Certifications Bachelor's/Master's in Computer Science, Engineering, or equivalent AWS Certified Data Engineer, AWS Solutions Architect, Databricks, or Snowflake certifications are a plus
... business, reporting, analytics, and application teams to understand data requirements and provide appropriate solutions. Follow data security, governance, and engineering best practices. Participate in code reviews and help improve development standards across the team. 7+ years of experience in Data Engineering, Data Warehousing, ...
Senior Data Engineer – Graph Database & Data Intelligence Position: Senior Data Engineer Experience Required: 6+ Years Location: Remote Employment Type: Contract We are seeking a highly skilled Senior Data Engineer with expertise in Graph Databases, Data Modeling, and modern backend frameworks. The ideal candidate should ...
... Java/Spring Boot services that acquire, normalize, and deliver telemetry and retention data from complex enterprise and third-party systems. It requires protocol and data-format troubleshooting across REST, Microsoft Graph, GraphQL, gRPC, JSON, XML, encoded/compressed payloads, and binary data, together with resilience patterns, ...
... expectations are met through disciplined implementation (access controls, lineage, and quality standards) 5+ years building and operating production data pipelines (data engineering—not primarily BI/analytics or data science) - Strong SQL plus strong data modeling skills (dimensional and/or lakehouse modeling) - Hands-on Databricks ...
... Modelling, OLAP cube modelling.- Data compression into PARQUET to improve processing and finetuning SQL programming skills.- Experience building and optimizing "big data" data pipelines, architectures and data sets.- Experience performing root cause analysis on internal and external data and processes to answer specific business ...
... highly valued Proficiency in Python and modern data/ML engineering tooling Experience with CI/CD practices, containerization, and DevOps principles applied to data and AI systems Ability to operate across the full stack — from raw data through model serving infrastructure 7+ years of progressive data engineering experience, ...
Job Summary :The Data Integration Engineer will design, develop, and support data integration solutions that extract financial and operational data from enterprise source systems and deliver trusted data to analytics platforms and external vendors. The role emphasizes source-to-target mapping, transformation, validation, ...
... highly skilled Senior Data Engineer with strong expertise in Data Architecture, System Design, Python, and SQL to design, build, and own end-to-end production data pipelines powering analytics and business https://jobeax.com/link/31g3t2QRSRYuSEHD ideal candidate should have strong experience in transaction-level data modeling, ...
... formats. This includes tasks such as typing data into spreadsheets or databases, verifying accuracy, and ensuring that information is organized and accessible. Data entry services are often outsourced to specialized providers for efficiency and accuracy in handling large volumes of data. Services clients, drives best practices, ...
... orchestrate datasets. Perform routine data monitoring, quality checks, and troubleshooting to maintain data integrity and workflow performance. Collaborate with data analysts, data scientists, and senior engineers to deliver data solutions. Document workflows, dataset schemas, and data engineering best practices. Required ...