physical). Proficiency in SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra). In-depth knowledge of data warehousing concepts and tools (e.g., Redshift, Snowflake, Google BigQuery). Experience with big data platforms (e.g., Hadoop, Spark, Kafka). Familiarity with cloud-based data platforms and services (e.g., AWS More ❯
how these can be practically applied. Experience with Python or other scripting languages. Good working knowledge of the AWS data management stack (RDS, S3, Redshift, Athena, Glue, QuickSight) or Google data management stack (Cloud Storage, Airflow, Big Query, DataPlex, Looker). About Our Process We can be flexible with More ❯
physical). • Proficiency in SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra). • In-depth knowledge of data warehousing concepts and tools (e.g., Redshift, Snowflake, Google BigQuery). • Experience with big data platforms (e.g., Hadoop, Spark, Kafka). • Familiarity with cloud-based data platforms and services (e.g., AWS More ❯
Amazon's Consumer Payments organization is seeking a highly quantitative, experienced Business Intelligence Engineer to drive the development of analytics and insights. You will succeed in this role if you are an organized self-starter who can learn new technologies quickly and excel in a fast-paced environment. In … thought leadership in global business deep dives across a variety of key performance indicators. BASIC QUALIFICATIONS - 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with one or more industry analytics visualization tools (e.g. … please visit this link for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race More ❯
East London, London, United Kingdom Hybrid / WFH Options
Asset Resourcing
processes and database management systems (e.g., MySQL, PostgreSQL, MongoDB). Hands-on experience with AWS services for data processing, storage and analysis (e.g., S3, Redshift, EMR, Glue). Familiarity with programming languages such as Python or Java. Understanding of data warehousing concepts and data modeling techniques. Experience working with More ❯
of cloud infrastructure security practices, including data privacy, model security, and compliance standards like GDPR and SOC 2. Familiarity with AWS big data tools (Redshift, Glue, EMR) for processing large datasets to support machine learning models. Preferred Qualifications: AWS Certified Machine Learning - Specialty or other relevant certifications. Experience with More ❯
/CD Had production experience working on a cloud environment, preferably GCP Had production experience using a data warehouse engine such as BigQuery or Redshift Had production experience using a key/value store such as Datastore or DynamoDB It would be nice if you Have worked in an More ❯
SQL skills Understanding of data warehousing, data modelling concepts and structuring new data tables Knowledge of cloud-based MPP data warehousing (e.g. Snowflake, BigQuery, Redshift) Nice to have Experience developing in a BI tool (Looker or similar) Good practical understanding of version control SQL ETL/ELT knowledge, experience More ❯
processes and database management systems (e.g., MySQL, PostgreSQL, MongoDB). Hands-on experience with AWS services for data processing, storage and analysis (e.g., S3, Redshift, EMR, Glue). Familiarity with programming languages such as Python or Java. Understanding of data warehousing concepts and data modeling techniques. Experience working with More ❯
ETL processes and database management systems (e.g., MySQL, PostgreSQL, MongoDB) Hands-on experience with AWS services for data processing, storage and analysis (e.g., S3, Redshift, EMR, Glue) Familiarity with programming languages such as Python or Java Understanding of data warehousing concepts and data modeling techniques Experience working with big More ❯
significant exposure to large-scale data architectures and cloud-based solutions. Has the following technical skills: Expert-level proficiency in SQL (e.g., MySQL, PostgreSQL, Redshift) and NoSQL databases (e.g., MongoDB, Cassandra). Proficiency in one or more programming languages (e.g., Python, Scala, Java) for data integration, automation, and problem More ❯
cloud based solution; AWS preferred.- Proficient in Python programming and software engineering best practices.- Expertise with RDBMS, Data Warehousing, Data Modelling with relational SQL (Redshift, PostgreSQL) and NoSQL databases.- Proficiency in DevOps, CI/CD pipeline management, and expertise in infrastructure as Code (IaC) deployment industry-best practices.**Nice More ❯
cloud based solution; AWS preferred.- Proficient in Python programming and software engineering best practices.- Expertise with RDBMS, Data Warehousing, Data Modelling with relational SQL (Redshift, PostgreSQL) and NoSQL databases.- Proficiency in DevOps, CI/CD pipeline management, and expertise in infrastructure as Code (IaC) deployment industry-best practices.**Nice More ❯
data challenges in a fast-paced environment. Have a solid understanding of data warehousing concepts and familiarity with cloud platforms like BigQuery, Snowflake, or Redshift . Are proactive in improving data processes, documentation, and analytics best practices. (Bonus) Exposure to Python for data analysis is a plus! Our benefits More ❯
Business Intelligence Engineer, Amazon Global Store Job ID: Amazon Development Centre (India) Private Limited We are looking for motivated BIE to join the Amazon Global Cross Border Selection Team. The BIE will work side-by-side with the Product and Business team members as they support the … This is an exciting opportunity to develop analytical insights and work directly with business and product leaders to shape Cross Border Selections Expansions Strategy. Amazon Global is pioneering cross-border e-Commerce by becoming a one-stop shop for Amazon Customers Worldwide and providing a seamless experience to … on a critical role in developing cross border selection reporting and analytics to deliver key insights to teams around the work for one of Amazon's fastest growing businesses. Our team is a cross section of product and program managers who own the end-to-end strategy and execution More ❯
SQL/dbt/Python/Business Intelligence tools/Product Analytics tools, etc. Familiar with databases and cloud data warehouses like Google Cloud, AmazonRedshift, Microsoft Azure, Snowflake, Databricks, etc. Familiar with product analytics implementation methods like SDKs, Customer Data Platforms (CDPs), Event Streaming, Reverse ETL, etc. More ❯
or certification on Python programming concepts and 3+ years applied experience. Extensive development experience using SQL. Hands-on experience with MPP databases such as Redshift, BigQuery, or Snowflake, and modern transformation/query engines like Spark, Flink, Trino. Familiarity with workflow management tools (e.g., Airflow) and/or dbt More ❯
Experience with scripting languages like Python or R for data manipulation and analysis. (Preferred) Experience with cloud-based data warehousing solutions like Snowflake or Amazon Redshift. PERFORMANCE MEASURES: Successful development and maintenance of robust data pipelines. High data quality and accuracy. Effective management of the data integration platforms (e.g. More ❯
data services (S3, Athena, Glue). Experience with Airflow for scheduling and orchestrating workflows. Experience working with data lakes or modern data warehouses (Snowflake, Redshift, BigQuery). A pragmatic problem solver who can balance technical excellence with business needs. At Funding Circle we are committed to building diverse teams More ❯
prototyping and disciplined software development processes. Experience with Python, ML libraries (e.g. spaCy, NumPy, SciPy, Transformers, etc.), data tools and technologies (Spark, Hadoop, Hive, Redshift, SQL), and toolkits for ML and deep learning (SparkML, Tensorflow, Keras). Demonstrated ability to work on multi-disciplinary teams with diverse skillsets. Deploying More ❯
to be a great teammate and have fun at work. Highly Desirable Skills & Experiences: Supporting a cloud service in production. Experience working with Snowflake, Redshift, BigQuery. Knowledge of GCP, AWS. Startup experience. About us: Sigma is the only cloud analytics and business intelligence tool empowering business teams to break More ❯
AWS data services (S3, Athena, Glue) Experience with Airflow for scheduling and orchestrating workflows Experience working with data lakes or modern data warehouses (Snowflake, Redshift, BigQuery) A pragmatic problem solver who can balance technical excellence with business needs At Funding Circle we are committed to building diverse teams so More ❯
of relevant work experience in Analytics, Business Intelligence, or Technical Operations Master in SQL, Python, and ETL using big data tools (HIVE/Presto, Redshift) Previous experience with web frameworks for Python such as Django/Flask is a plus Experience writing data pipelines using Airflow Fluency in Looker More ❯
of data engineering principles, ETL/ELT processes, and technologies like Apache Kafka, Spark, or Airflow. Familiarity with data storage systems (e.g., Snowflake, BigQuery, Redshift) and cloud platforms (e.g., AWS, Azure, GCP). Comfort building software that processes billions of transactions or data elements. Strong problem-solving skills and More ❯
Business Analyst, Automation, Reporting and Tech sciences (ARTS) Are you passionate about solving business challenges at a global scale? Amazon Employee Services is looking for an experienced Business Analyst to join Retail Business Services team and help unlock insights which take our business to the next level. The candidate … Quick Sight, Tableau, Power BI or other BI packages. 1+ years of tax, finance or a related analytical field experience. PREFERRED QUALIFICATIONS Experience in AmazonRedshift and other AWS technologies. Experience creating complex SQL queries joining multiple datasets, ETL DW concepts. Experience in SCALA and Pyspark. Our inclusive … accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race More ❯