... Proven handson experience with distributed processing frameworks such as Spark / PySpark Experience working with structured, semistructured, and unstructured data Solid understanding of schema design, partitioning, and query optimization DevOps & Platform Engineering Experience with Infrastructure as Code using Terraform ...
... work independently and collaboratively to solve complex data challenges and drive continuous improvements across our data engineering practices. 4+ years of data engineering experience, building and managing large-scale data pipelines - Strong proficiency in Python, PySpark, Spark, Databricks, Delta Lake, PowerBI and SQL, ...
Senior Data Engineer Starts Immediately Competitive salary Competitive salary Experience We are looking for a Senior Data Engineer to join our team. In this role, you will design, build, and optimize scalable data pipelines on the Databricks Lakehouse Platform. You will partner with data science, analytics, and business ...
... footprint of awesome impact. You'll be joining forces with a league of extraordinary cross-functional minds, sniffing out opportunities to unleash the power of data, conjuring up brilliant analytical solutions, and translating those 'aha!' As part of our dynamic, two-shift Data Science squad, you'll be the go-to guru for ...
Data Engineer – Chennai Experience: 3+ Years Immediate joiners preferred (or less than 20 days) Work Mode: Full-Time We are seeking highly skilled and experienced Senior Data Engineers with a deep understanding of data architecture, Big Data technologies, and large-scale data processing. The ideal candidate must have a ...
... multiple environments with zero-defect tolerance. Analyze legacy data structures, identify gaps, and design optimized migration strategies aligned with client timelines. Contribute to migration playbooks, data models, and technical documentation for enterprise rollout and audit compliance. Participate in defect triage, issue ...
... BigQuery, Cloud Functions, Composer, GCS Proficient hands-on programming experience in Spark/Scala (python/java) Proficient in building production level ETL/ELT data pipelines from data ingestion to consumption Data Engineering knowledge (such as Data Lake, Data warehouse - Redshift/Hive/Snowflake, Integration, Migration) ...
We are seeking a Data Engineer to join our team. The role will involve building and maintaining data pipelines and collaborating closely with stakeholders. Key responsibilities Design and develop scalable data pipelines using AWS services. Implement ETL processes with AWS Glue, Lambda, and DBT. Work with PySpark and SQL ...
... City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. As part of the broader Addepar Data Management & Quality organization, the Data Client Support team is responsible for ensuring our customers receive first-class support experience and are able get the most value out of their data in Addepar. ...
Responsible for conducting data analysis to extract actionable insights, exploring datasets to uncover patterns and anomalies, analyzing historical data for trend identification and forecasting, investigating data discrepancies, providing user training and support on data analysis tools, communicating findings through compelling ...
... provide constructive feedback, and work closely with researchers and stakeholders to ensure alignment with project objectives. Develop and optimize Python-based data science solutions using public datasets. Create well-documented Python code using Jupyter notebooks. Bachelor's/Master's degree in Engineering, Computer Science, ...
... lead scalable data architectures to support structured, semi-structured, time-series, and unstructured data across Linde's global operations Develop unified data platforms ensuring secure, governed, and efficient access to enterprise-wide data Build and manage robust data pipelines integrating sources like ERP systems, ...
... Posted 2 weeks ago Job Be an early applicant About the job Job Purpose: Design and implement scalable data engineering and data warehouse solutions while managing data schemas, SQL query tuning, and code reviews. Who You Are: - 5+ years of experience in Data Engineering, with strong knowledge of Data Platforms and Data Warehousing ...
... data annotation tools and ML pipelines to provide visibility, insights, and automation across large-scale data operations. You will design and optimize robust data pipelines, build integrations with internal platforms (e.g., Design and build scalable batch and real-time data pipelines across structured and unstructured sources. ...
... data. Build and optimize data pipelines and workflows. Perform data cleaning, validation, and preprocessing. Collaborate with cross-functional teams including data analysts and engineers. Write reusable, efficient, and well-documented code. Integrate APIs and third-party services. Troubleshoot and debug data-related issues. ...
... validate data from multiple sources Perform exploratory data analysis (EDA) Develop dashboards and reports using BI tools Interpret trends and patterns in complex datasets Present insights to stakeholders in a clear and actionable manner Write SQL queries to extract and manipulate data Automate data processes where possible ...
... contribution, technical team management, and client interaction. - Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights - Drive excellent project management required to deliver complex projects, including effort/time estimation. - Be proactive, with full ownership ...
... solutions providing enterprise-scale data transformation across a broad range of projects. Your role will focus on delivering solutions that utilize large-scale data ingestion, processing, storage/querying, streaming, and batch analytics using Databricks . As part of a team, you will implement world-class solutions designed ...