Job Title: Associate - Data Engineer Job Type: Full-time Experience Level: 1 - 4 Years Location: Airoli - Navi Mumbai About the Role: We are looking for an enthusiastic and detail-oriented Associate Data Engineer to join our growing data team. If you are a recent graduate passionate about data and eager to build a career ...
... strong hands-on experience with AWS data services and distributed data processing, along with a solid understanding of data modelling, streaming architectures, data quality, and pipeline optimisation. Requirements KEY RESPONSIBILITIES Design, develop, and maintain end-to-end data pipelines for high-volume data ingestion, ...
... data ingestion pipelines leveraging Databricks, Airflow, Kafka, and Terraform. Ensure high performance, reliability, and efficiency by optimizing large-scale data pipelines. Develop data processing workflows using Databricks, Delta Lake, and Spark technologies. Maintain and improve the Data Lakehouse, utilizing Unity Catalog ...
... non-technical stakeholders why data is or is not ready, and that conversation matters as much as the pipeline. Useful, Not Essential - Manufacturing or industrial data experience - Kafka, Debezium or other change-data-capture tooling - Metadata catalogue and governance tooling - Experience defining acceptance criteria on a client ...
... management plans and documentation, ensuring compliance with industry standards and regulatory requirements. - Participate in the identification and resolution of data discrepancies and issues, working to streamline data flow and enhance data quality throughout the study lifecycle. - Collaborate closely with cross-functional ...
Senior Data Engineer – Data Pipelines & Cloud Databases Location: Pune | Experience: 4+ years | Type: Full-Time Role Overview Design, build, manage enterprise data pipelines on Azure and Databricks. Own schema design, API development, and data infrastructure for analytics and intelligence products. Key Responsibilities ...
... submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the ...
... build robust data pipelines, data lakes, and marts to support business analysts and data scientists. Key Responsibilities Modern Data Platform Development: Build data lake components on cloud-based platforms Design and develop data marts for business analysts and data scientists Data Engineering & Pipelines: Design data pipelines ...
Role Overview : We are seeking a seasoned Data Engineering professional to spearhead our data architecture initiatives and drive the evolution of our analytical ecosystem. In this role, you will be responsible for designing robust data models and optimizing our Snowflake-based data warehousing environment to support complex ...
Job Description – Senior Data Engineer / Platform Re-Engineering Lead (Azure Synapse & Databricks Migration) Role Overview We are looking for a highly experienced Senior Data Engineer to lead the re-engineering of an existing enterprise data platform built on Azure Synapse Analytics. The role requires deep technical seniority ...
Data Science Data Engineer Work Type: Full Time At VIDA we're building the future of digital identity. As a Data Engineer you'll work across the stack—from platform and infrastructure to data pipelines and end-user tooling. You'll help us modernize our batch ETLs and lead our push into streaming and real-time fraud detection. ...
... optimized SQL queries for data extraction, transformation, and analysis.- Build and manage ETL pipelines using AWS Glue.- Work with AWS Glue Data Catalog for metadata management and data discovery.- Design and implement serverless data processing solutions using AWS Lambda.- Use Amazon S3 for scalable data storage and data ...
... techniques. Hands-on experience integrating and optimizing Starburst/Trino, including connecting Starburst from Lambda and Glue ETL jobs. Experience with NoSQL databases such as DynamoDB, MongoDB. Experience working with data formats including Avro, Parquet, JSON, XML, and CSV. Comfortable challenging your peers and leadership ...
... details related to data engineering or a relevant https://jobeax.com/link/cwwOL3BLJkve6nkU Skills :- Azure Databricks, Python, pyspark, sql, ADF- Proficiency in data pipeline design and implementation- Strong understanding of data factory and orchestration toolsPreferred Skills:- Familiarity with advanced data processing techniques- ...
... & 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 ...
... 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, ...
... in Python and SQL - Experience with Unity Catalog, cluster administration, and at least one major cloud platform (Azure, AWS, or GCP) - Solid understanding of data warehousing and dimensional modeling Databricks Certified Data Engineer (Associate or Professional) Cloud data engineering certification have minimum 5 years ...
... magic! Model Development: Design, develop, and implement predictive models and algorithms using advanced statistical techniques and machine learning frameworks. Data Analysis: Conduct thorough data exploration, cleaning, and transformation to prepare datasets for modeling efforts, ensuring high data quality and accuracy. Collaboration: ...
... capture the most granular data. Align the engineering and product teams on the Data Granularity and accuracy requirements. Build Alerts to detect bugs in the data pipeline. Perform data analysis to test hypothesis and uncover factor influencing metric variations Build Feature Store for Data Science implementations Overall ...