We're are Hiring @Algo8AI Role: Data Engineer — Data Platform & Pipelines Lake, canonical model and data quality Location: Noida | Hybrid (4 days/week in office) Experience: 5–7 years Employment: Permanent | Algo8 Payroll Reports to: Tech Lead ⏱️ Joining: Early joiners / short notice preferred You will build and own the ...
Data Engineer Start Date Starts Immediately CTC (ANNUAL) Competitive salary Competitive salary Apply By Not Provided Posted 1 day ago Fresher Job Be an early applicant About the job Requirements Strong understanding of AWS architecture best practices, scalability, security, and cost optimization strategies. Strong hands-on ...
... & Data Engineering (AWS) Strong handson experience with AWS data services, including: Amazon S3, AWS Glue, Athena, Redshift Experience designing cloudnative data lakes and data warehouse architectures on AWS Deep understanding of batch and streaming data pipelines Experience building scalable, faulttolerant data ingestion ...
... lakehouse data domain, its ingestion, models, and quality, that ML and analytics teams rely on you to drive. Who You Are Must-Have - 25 years building production data pipelines: real systems with real consumers, not just one-off scripts - Strong data engineering fundamentals : data modeling, batch vs. streaming, idempotency, ...
... business-focused data solutions.- Mentor junior engineers and promote data engineering best https://jobeax.com/link/E00qLmZDpXHJjFEm Qualifications : - 5+ years of Azure Data Engineering experience.- Experience with large-scale distributed data processing systems.- Databricks and/or Azure Data Engineering certifications preferred.- ...
... join a team that saves tens of millions of dollars per year for Amazon, and uses technology, including machine learning and statistical modeling techniques, data mining and big data analytics, cloud computing services, and highly available/scalable distributed systems that support hundreds of millions of transactions across ...
... 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, ...
... 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, ...
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 ...
Data Engineer – Python & Pyspark (AWS) Exp: 6+ yrs Location : Chennai Client Place Guindy Work Mode : All 5 days Role Overview We're seeking a Senior Data Engineer with strong hands-on expertise in Python, PySpark, and AWS to design, build, and operate scalable data pipelines for analytics and operational workloads. You ...
... 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 ...
... 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, ...