... inquiries related to Addepar's portfolio data feeds and on general data product functionalities within established SLAs. Manage and complete requests from internal Data teams that require client outreach and/or action to resolve data verification issues. Investigate client reported bugs and data processing issues, and triage ...
... excellence to enable long-term business growth. The ideal candidate brings strong problem-solving rigor, attention to detail, and is comfortable to work in ambiguity. Has the ability to translate high level abstract problem into actionable data and system problems to enable execution. What your main responsibilities are ...
... 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, ...
... evaluating and implementing data-engineering and software technologies - In addition, you have experience in programming languages and frameworks: SQL, Python, Spark, Databricks (Delta Lake) - Experience in data storages - SQL and NoSQL databases, Azure Data Lake Storage- and in developing data solutions, models, API and software ...
... 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 ...
... environments (preferably AWS). Document architecture, data flow, and support runbooks; continuously improve platform performance and resilience. Integrate with customer data platforms and pipelines, including bespoke data frameworks. 4–8 years of experience in data engineering or backend development in data-intensive environments. ...
... Beam and/or Dataproc / Spark . Design data models for analytical and downstream data products. Implement data-quality checks, validation, reconciliation, and data lineage. Optimize pipelines and BigQuery workloads for performance and cloud cost . Implement automated testing and integrate data workloads with CI/CD . Monitor ...
... similar). Experience in building data pipelines or ETL processes. Familiarity with REST APIs and backend frameworks (Flask/Django is a plus). Understanding of data structures and algorithms. Good To Have Experience with big data tools (Spark, Hadoop). Knowledge of cloud platforms (AWS, Azure, or GCP). Exposure to machine ...
... 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 ...
... statements, and offering solutions in the domains of Retail, Pharma, Banking, Insurance, etc. - Contribute to internal product development initiatives related to data science. - Develop data science roadmap, and guide data scientist to meet their deliverables. - Handling end-to-end client AI & analytics programs. Your role ...
... responsibilities will include estimating, designing, coding, testing, deploying, and ensuring scalability and performance on Azure using key technologies like Databricks. As a hands-on technologist with an extensive data engineering background using Databricks , you will be joining a group of Data Engineers who are passionate ...
... dashboards. - Expert-level proficiency in SQL , including complex queries, joins, aggregations, subqueries, and data manipulation. - Strong understanding of data preparation, data modelling, reporting, and visualisation principles. - Experience working with financial, operational, risk, or business performance data. - ...
... https://jobeax.com/link/MJvWAZuK638tHuBb RESPONSIBILITIES : Tech Stack & Skills : - Experience in model development using Python/PySpark libraries. Development on Databricks or Dataiku DSS is a plus.- Strong experience on Spark with Scala/Python/Java.- Proficiency in building, training, and evaluating state-of-the-art machine ...
... drives / memory / transceivers and other hardware related tasks, as required by our server and network teams. Assisting with planning equipment moves or new data center build-outs. Coordinating the packing, shipping, and logistics of equipment to and from remote colocation sites. Maintaining data center documentation. ...
... connectors or processing frameworks. - Deep understanding of Apache Airflow and ability to design and manage complex DAGs. - Solid SQL skills and familiarity with data warehouse platforms (e.g., Snowflake, Redshift, BigQuery). - Familiarity with version control tools (Git), CI/CD pipelines, and Agile methodologies. - Exposure ...
... Own end-to-end delivery of data products—from raw source data ingestion through transformation to governed, consumption-ready datasets. Collaborate with the Data Platform team on pipeline integration, CI/CD workflows, and adherence to shared coding and deployment standards. - Data Quality & Analysis: Implement data quality ...
... of our transformation, we know that data is at the center of everything that we do. We seek a dedicated professional to help take us to the next level of our Data & Analytics journey. We depend on our Data Analysts to investigate data seeking opportunities to reduce duplicates, improve the quality and discover anomalies ...
... MAKE AN IMPACT Job Title: Data Engineer _DEPS Experience: 3–5 Years Location: Bangalore and Pune (Hybrid – Client Office) Job Summary: Seeking a skilled Senior Data DevOps Engineer having experience in Cloudera platforms, data engineering, and DevOps automation. The ideal candidate will manage and optimize Cloudera environments, ...
... fundamentals and engineering principles, with hands-on experience in big data technologies such as Scala and Spark. The role involves working with cloud or on-premises data infrastructure and contributing to the design and development of robust, scalable data pipelines and solutions. Key Responsibilities: - Design and develop scalable ...
... and BigQuery. Build data ingestion pipelines from various source systems. Write efficient and maintainable code using Python. Develop and optimize large-scale data transformations using PySpark. Ensure data quality, reliability, and performance of data pipelines. GCP BigQuery Data Ingestion & ETL/ELT Data Pipeline Orchestration ...