in data engineering or related roles Bachelor’s in CS, Engineering, Mathematics, Finance, etc. Proficiency in Python, SQL , and one or more: R, Java, Scala Experience with relational/NoSQL databases (e.g., PostgreSQL, MongoDB) Familiarity with big data tools (Hadoop, Spark, Kafka), cloud platforms (Azure, AWS, GCP), and workflow tools (Airflow, Luigi) Bonus: experience with BI tools , API integrations , and More ❯
in data engineering or related roles Bachelor’s in CS, Engineering, Mathematics, Finance, etc. Proficiency in Python, SQL , and one or more: R, Java, Scala Experience with relational/NoSQL databases (e.g., PostgreSQL, MongoDB) Familiarity with big data tools (Hadoop, Spark, Kafka), cloud platforms (Azure, AWS, GCP), and workflow tools (Airflow, Luigi) Bonus: experience with BI tools , API integrations , and More ❯
Java and system design principles. Experience with designing and implementing scalable and distributed systems. Exposure to front-end technologies (React, Angular, or similar) is beneficial. Experience with databases (SQL, NoSQL) and data modeling. Familiarity with cloud services (AWS preferred) and DevOps practices. Strong problem-solving skills and ability to work independently in a fast-paced environment. Financial industry experience or More ❯
have experience with, and are interested in, contemporary approaches to service design, including the use of containers and container orchestration technologies, streaming data platforms, APIs and in-memory/NoSQL stores. You are comfortable working in adevops based software development workflow, including building, testing, and continuous integration/deployment. You are also happy to be evolve along with the development More ❯
following: − Proficiency in programming languages such as Python, Java, or Scala. − Strong experience with SQL and database technologies (incl. various Vector Stores and more traditional technologies e.g. MySQL, PostgreSQL, NoSQL databases). − Hands-on experience with data tools and frameworks such as Hadoop, Spark, or Kafka - advantage − Familiarity with data warehousing solutions and cloud data platforms. − Background in building applications More ❯
following: − Proficiency in programming languages such as Python, Java, or Scala. − Strong experience with SQL and database technologies (incl. various Vector Stores and more traditional technologies e.g. MySQL, PostgreSQL, NoSQL databases). − Hands-on experience with data tools and frameworks such as Hadoop, Spark, or Kafka - advantage − Familiarity with data warehousing solutions and cloud data platforms. − Background in building applications More ❯
and Always On Availability Groups . Ability to troubleshoot and resolve database-related performance and connectivity issues. Microsoft certification in Azure Database Administration (DP-300) or equivalent. Experience with NoSQL databases such as Cosmos DB . Knowledge of machine learning, AI, and analytics workloads in Azure . Experience working in ITIL or Agile environments . Person Specification Strong problem-solving More ❯
and frameworks. Comfortable working with large-scale data, building high-throughput, low-latency solutions. Knowledgeable about modern service design principles, including containerization, Kubernetes orchestration, streaming data platforms, APIs, and NoSQL/in-memory databases. Experienced with DevOps practices, continuous integration, and deployment workflows, with a mindset open to evolving processes and contributing to continuous improvement. Able to communicate effectively with More ❯
and frameworks. Comfortable working with large-scale data, building high-throughput, low-latency solutions. Knowledgeable about modern service design principles, including containerization, Kubernetes orchestration, streaming data platforms, APIs, and NoSQL/in-memory databases. Experienced with DevOps practices, continuous integration, and deployment workflows, with a mindset open to evolving processes and contributing to continuous improvement. Able to communicate effectively with More ❯
Mandatory : Python 3, JavaScript, SQL databases/language, Linux Strongly Desired : Django or Flask (other Python frameworks also considered) Desired : Frontend libraries like React.js or Vue.js Nice to Have : NoSQL, Grafana, GitLab, AWS A degree (1st or 2:1 preferred) from a top-tier university Experience working with software in cloud-based environments serving real users Clear communication skills—written More ❯
Mandatory : Python 3, JavaScript, SQL databases/language, Linux Strongly Desired : Django or Flask (other Python frameworks also considered) Desired : Frontend libraries like React.js or Vue.js Nice to Have : NoSQL, Grafana, GitLab, AWS A degree (1st or 2:1 preferred) from a top-tier university Experience working with software in cloud-based environments serving real users Clear communication skills—written More ❯
years of experience in QA or Test Engineering, with a focus on data products or platforms Strong knowledge of SQL and experience with large-scale relational and/or NoSQL databases Experience testing data pipelines (ETL/ELT), preferably with tools like Apache Airflow, dbt, Spark, or similar Proficiency in Python or similar scripting language for test automation Experience with More ❯
testing techniques Proficiency in data modeling and design, including SQL development and database administration Ability to implement common data management and reporting technologies, as well as the Columnar and NoSQL databases, data visualization, unstructured data, and predictive analytics. Excellent organizational and analytical abilities. Outstanding problem solver. Good written and verbal communication skills. A minimum of 5 years’ experience in a More ❯
testing techniques Proficiency in data modeling and design, including SQL development and database administration Ability to implement common data management and reporting technologies, as well as the Columnar and NoSQL databases, data visualization, unstructured data, and predictive analytics. Excellent organizational and analytical abilities. Outstanding problem solver. Good written and verbal communication skills. A minimum of 5 years’ experience in a More ❯
steps (sequence diagram workflow diagram Jira stories). Working appreciation of agile methodologies (scrum) Familiar with using CI/CD development approach. Working knowledge of using database SQL and NoSQL e.g., Mongo Inclusion At Wipro we don’t just look at your CV. We’re more focused on who you are and your potential. We also know that everyone has More ❯
steps (sequence diagram workflow diagram Jira stories). Working appreciation of agile methodologies (scrum) Familiar with using CI/CD development approach. Working knowledge of using database SQL and NoSQL e.g., Mongo Inclusion At Wipro we don’t just look at your CV. We’re more focused on who you are and your potential. We also know that everyone has More ❯
third party services. Ability to read and review code, paired programming, and debugging code related performance issues, SQL tuning, etc. Experience with AWS services such as S3, RDS, Aurora, NoSQL, MSK (Kafka). Experience with batch processing/ETL using Glue Jobs, AWS Lambda, and Step functions. Experience with designing bespoke & tailored front-end solutions (GUI based) using open source More ❯
learn for ML, and Pandas, PySpark, or similar for data processing. Experience designing and orchestrating data pipelines with tools like Apache Airflow, Spark, or Kafka. Strong understanding of SQL, NoSQL, and data modeling. Familiarity with cloud platforms (AWS, Azure, GCP) for deploying ML and data solutions. Knowledge of MLOps practices and tools, such as MLflow or Kubeflow. Strong problem-solving More ❯
learn for ML, and Pandas, PySpark, or similar for data processing. Experience designing and orchestrating data pipelines with tools like Apache Airflow, Spark, or Kafka. Strong understanding of SQL, NoSQL, and data modeling. Familiarity with cloud platforms (AWS, Azure, GCP) for deploying ML and data solutions. Knowledge of MLOps practices and tools, such as MLflow or Kubeflow. Strong problem-solving More ❯
preferred). Experience with CI/CD principles and tools, particularly GitHub Actions . Familiarity with containerization technologies like Docker . Experience testing applications that use MongoDB or similar NoSQL databases. A solid understanding of the machine learning lifecycle and experience testing AI-powered applications is a significant advantage. Excellent problem-solving skills and the ability to thrive in a More ❯
preferred). Experience with CI/CD principles and tools, particularly GitHub Actions . Familiarity with containerization technologies like Docker . Experience testing applications that use MongoDB or similar NoSQL databases. A solid understanding of the machine learning lifecycle and experience testing AI-powered applications is a significant advantage. Excellent problem-solving skills and the ability to thrive in a More ❯
Python Familiarity with data warehouse concepts and technologies, particularly Google BigQuery. ( Experience with Amazon Redshift can also be considered) Understanding of a variety of databases including both SQL and NoSQL databases Hands-on experience with ETL tools and processes to move and transform data between systems Experience with Google Cloud Platform (GCP) is highly preferred.(Experience with other cloud platforms More ❯
software architecture and design principles, ability to evaluate different approaches to balance performance, cost, and maintainability Experience with cloud platforms (GCP, AWS) is a must Experience with relational and NoSQL databases, with a focus on best practices in data modeling and performance optimization Hands-on experience with building and scaling microservices, RESTful APIs, and understanding of distributed systems Experience in More ❯
experience with using CI/CD tooling to analyse, build, test and deploy your code and proven experience in their technologies. You have experience in database technologies (e.g., SQL, NoSQL such as Elasticsearch and Graph databases). You have a good understanding of coding best practices and design patterns and experience with code and data versioning, dependency management, code quality More ❯
cloud. Minimum Requirements: 5+ years of experience in cloud architecture and implementation Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience Experience in database (e.g., SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) Experience in consulting, design and implementation of serverless distributed solutions Experience in software development with object-oriented language AWS experience preferred, with proficiency in a wide More ❯
