1 to 25 of 1,232 Scala Jobs

Skills/Abilities: • Must be high-energy, detail-oriented, proactive and have the ability to function under pressure in an independent environment. • Experience building data pipelines through Spark with Scala/Python/Java on Hadoop or Object storage. • Expertise in Data Engineering and Data Analysis: implementing multiple end-to-end DW projects in Big Data Hadoop environment. • Experience working More ❯

s degree in Computer Science, Data Engineering, or a related field. 5+ years of experience in data engineering, ML engineering, or backend systems. Strong programming skills in Python, SQL, Scala, Java or any OP languages. Proficiency with cloud platforms (AWS, GCP, or Azure) and their data/AI services. Experience with ML pipelines, including feature stores, model registries, and inference More ❯

system infrastructures, favouring infrastructure-as-code practices using tools such as Terraform and Pulumi. Programming Languages: Proficient in Python and SQL, with additional experience in programming languages like Java, Scala, GoLang, and Rust considered advantageous. CI/CD Implementation: Knowledgeable about continuous integration and continuous deployment practices using tools like GitHub Actions and ArgoCD, enhancing software development and quality assurance. More ❯

for data access.Manage cloud-based data infrastructure (AWS, Azure, GCPDocument architecture, workflows, and data models. Required Skills & Experience Strong experience with SQL, relational databases, and NoSQL systems.Proficiency in Python, Scala, or Java for data engineering tasks.Experience with big data tools (Spark, Hadoop, Kafka, FlinkKnowledge of ETL/ELT tools (Airflow, dbt, Glue, InformaticaFamiliarity with data warehousing (Snowflake, BigQuery, RedshiftUnderstanding of More ❯

deployment in secure and scalable environments to include AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Proven expertise in programming languages such as Python, Java, or Scala, with demonstrated experience in software engineering practices (e.g., version control, CI/CD pipelines, containerization). Experience building and optimizing data pipelines, ETL processes, and real-time streaming solutions using More ❯

on proficiency with modern data technologies such as Spark, Kafka, Airflow, or dbt. Strong SQL skills and experience with cloud platforms (Azure preferred). Solid programming background in Python, Scala, or Java. Knowledge of data warehousing solutions (e.g. Snowflake, BigQuery, Redshift). Strong understanding of data governance, security, and compliance (experience within financial services is a plus). Leadership experience More ❯

s degree (and preferably an advanced degree) in Computer Science, Engineering, or in a quantitative field is required 5+ years experience with software engineering in Python (additional languages like Scala/C R are a plus) 3+ years experience with Databricks and/or Apache Spark 3+ years experience with advanced analytics and modern machine learning techniques 3+ years experience More ❯

years of experience working with Hadoop platforms. -Solid understanding of software engineering principles, including object-oriented design and microservices architecture. -Proven expertise in building data processing applications using Scala and Python 3.10+. -Strong grasp of design patterns, clean code practices, and writing maintainable, scalable software. -Experience developing container-based applications in a microservices environment. -Passion for learning and mentoring, with More ❯

years of experience working with Hadoop platforms. -Solid understanding of software engineering principles, including object-oriented design and microservices architecture. -Proven expertise in building data processing applications using Scala and Python 3.10. -Strong grasp of design patterns, clean code practices, and writing maintainable, scalable software. -Experience developing container-based applications in a microservices environment. -Passion for learning and mentoring, with More ❯

SSIS). Familiarity with cloud data platforms (Azure, AWS, or GCP). Strong understanding of data warehousing concepts (e.g., star schema, snowflake schema). Preferred: Experience with Python or Scala for data processing. Knowledge of Azure Synapse, Databricks, or similar technologies. Understanding of CI/CD pipelines and version control systems (Git). Exposure to data governance and security frameworks. More ❯

Experience Expert in Azure Databricks (Unity Catalog, DLT, cluster management). Strong experience with Azure Data Factory, Synapse Analytics, Data Lake Storage, Stream Analytics, Event Hubs. Proficient in Python, Scala, C#, .NET, and SQL (T-SQL). Skilled in data modelling, quality, and metadata management. Experience with CI/CD and Infrastructure as Code using Azure DevOps and Terraform. Strong More ❯

technologies At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: Master's Degree 9+ years of experience in application development including Python, SQL, Scala, or Java 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark More ❯

technologies At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: Master's Degree 9+ years of experience in application development including Python, SQL, Scala, or Java 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark More ❯

technologies At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: Master's Degree 9+ years of experience in application development including Python, SQL, Scala, or Java 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark More ❯

technologies At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: Master's Degree 9+ years of experience in application development including Python, SQL, Scala, or Java 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark More ❯

technologies At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: Master's Degree 9+ years of experience in application development including Python, SQL, Scala, or Java 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark More ❯

technologies At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: Master's Degree 9+ years of experience in application development including Python, SQL, Scala, or Java 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark More ❯

these requirements. In order to secure one of these Senior Data Engineer roles you must be able to demonstrate the following experience: Experience in prominent languages such as Python, Scala, Spark, SQL. Experience working with any database technologies from an application programming perspective - Oracle, MySQL, Mongo DB etc. Experience with the design, build and maintenance of data pipelines and infrastructure More ❯

databases, and financial data sources into Azure Databricks. Optimize pipelines for performance, reliability, and cost, incorporating data quality checks. Develop complex transformations and processing logic using Spark (PySpark/Scala) for cleaning, enrichment, and aggregation, ensuring accuracy and consistency across the data lifecycle. Work extensively with Unity Catalog, Delta Lake, Spark SQL, and related services. Apply best practices for development More ❯

for all major data initiatives. DATA MANAGER - ESSENTIAL SKILLS: Proven experience as a Senior or Lead Data Engineer , Data Manager, or similar leadership role. Strong proficiency in Python (or Scala/Java) and SQL . Hands-on experience with data orchestration tools (Airflow, dbt, Dagster, or Prefect). Solid understanding of cloud data platforms (AWS, GCP, or Azure) and data More ❯

the team and role for you! What You Need To Succeed 6+ years of experience developing and delivering production-grade software and data systems. Proficiency in Python, Java, or Scala - comfortable writing robust, testable, and scalable code. Deep experience with AWS (Lambda, ECS/EKS, EMR, Step Functions, S3, IAM, etc.). Strong knowledge of distributed systems and streaming/ More ❯

SQL with strong database design and query optimization skills. Experience with cloud-based platforms such as AWS, Snowflake, or Redshift. Strong programming experience in Python; additional experience with Java, Scala, or similar a plus. Demonstrated knowledge of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) and ability to operationalize models. Proven ability to develop and maintain data visualizations and dashboards using More ❯

support modelling and data analytics · As an AWS Solutions Architect or Lead, or similar · Strong Python experience or other object oriented or a functional programming language such as Java, Scala, C#, or R · Data warehousing – building operation ETL data pipelines across several sources, and constructing relation and dimensional data models · Built and maintained scalable infrastructure through IaC frameworks (e.g., Terraform More ❯

degree or equivalent combination of education and experience. Hands-on experience manipulating and analyzing large (multi-billion record) data sets. Hands-on experience developing data-driven solutions using Python, Scala, or similar languages. Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting. Proficiency with containerization (e.g., Docker) and microservices. Proficiency with data warehousing More ❯

degree or equivalent combination of education and experience. Hands-on experience manipulating and analyzing large (multi-billion record) data sets. Hands-on experience developing data-driven solutions using Python, Scala, or similar languages. Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting. Proficiency with containerization (e.g., Docker) and microservices. Proficiency with data warehousing More ❯