1 to 25 of 156 Scala Jobs

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 ❯

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 ❯

Machine Learning fundamentals and strong knowledge in a specific domain (e.g., Computer Vision, Deep Learning, NLP). Expert coding skills in Python and at least one of these languages: Scala, C++, Java. Hands-on experience with database management languages (e.g., SQL, PostgreSQL). Hands-on experience in cloud-based infrastructures (AWS/GCP/Azure). Hands-on experience with More ❯

models. Good understanding of ML fundamentals and strong knowledge in a domain (e.g., Computer Vision, Deep Learning, NLP). Expert coding skills in Python and at least one of Scala, C++, Java. Hands on experience with SQL, PostgreSQL and other database languages. Experience with cloud based infrastructures (AWS/GCP/Azure). Knowledge of Unix command line and DevOps More ❯

Machine Learning fundamentals and strong knowledge in a specific domain (e.g., Computer Vision, Deep Learning, NLP). Expert coding skills in Python and at least one of these languages: Scala, C++, Java. Hands-on experience with database management languages (e.g., SQL, PostgreSQL). Hands-on experience in cloud-based infrastructures (AWS/GCP/Azure). Hands-on experience with More ❯

background in data modeling, ETL/ELT processes, data integration, and real-time data pipelines. Experience with ingestion frameworks, time-series databases, and streaming analytics. Programming proficiency in Python, Scala, or Java for data engineering and automation. Strong SQL skills and familiarity with NoSQL and graph database technologies. Excellent communication skills, with the ability to engage both technical and non More ❯

with Azure Data Factory. Knowledge of Banking/finance is an advantage. Expert knowledge of relational databases like SQL DB and Oracle. Knowledge and experience with SQL, Python, or Scala is a must. Data formats like JSON, Parquet, XML, and REST API are familiar to you. Experience with CI/CD tools (GitLab/GitHub, Jenkins, Ansible, Nexus) for automated More ❯

long-term data strategy. About you - Extensive Technical Expertise: Strong knowledge of Microsoft Fabric components including OneLake, Lakehouse/Warehouse, Delta Lake, Direct Lake, Data Factory, Spark (PySpark/Scala) and Power BI (DAX and semantic modelling). Advanced Programming and Data Engineering Skills: Proficient in Python, SQL and T-SQL with experience in PySpark; familiarity with KQL for real 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 ❯

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 ❯

focus on cloud-based data pipelines and architectures Strong expertise in Microsoft Fabric and Databricks, including data pipeline development, data warehousing, and data lake management Proficiency in Python, SQL, Scala, or Java Experience with data processing frameworks such as Apache Spark, Apache Beam, or Azure Data Factory Strong understanding of data architecture principles, data modelling, and data governance Experience with More ❯

architectures. Essential Skills & Experience (Mandatory) 8-10 years of experience in data engineering. Proven expertise with the core Azure data stack: Azure Data Factory (ADF), Azure Databricks, PySpark/Scala, Azure SQL, and ADLS Gen 2 . Strong proficiency in T-SQL , stored procedures, and relational database modeling. Hands on experience implementing data pipelines for production level data and analytics 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 ❯

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 ❯

tools. Monitor and optimize system performance, reliability, and scalability. Participate in technical roadmap discussions and provide input on architectural decisions. Required Skills & Experience Strong backend development experience in Java (Scala is a strong plus). Hands on experience with AWS services (e.g., EC2, S3, Lambda, IAM, etc.). Proficiency with Kafka for event streaming and messaging. Experience with Kubernetes, preferably 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 ❯

fields in a public sector or federal government setting, with a strong focus on ETL processes and data pipeline development. • Proficiency in programming languages such as Python, SQL, and Scala, with practical experience in data processing frameworks. • Hands-on experience with cloud platforms, specifically AWS, and tools like AWS Glue, Apache Spark, DataStage, and Redshift. • Strong understanding of data governance More ❯

Science, Statistics, or a related field. 25 years of experience as a Data Scientist or ML Engineer (preferably in SaaS, fintech, or RegTech). Proficiency in Python, R, or Scala , with strong knowledge of libraries such as scikit-learn, TensorFlow, PyTorch, or similar. Strong understanding of statistics, probability, and machine learning techniques (classification, clustering, NLP, anomaly detection). Experience working More ❯

Science, Statistics, or a related field. 25 years of experience as a Data Scientist or ML Engineer (preferably in SaaS, fintech, or RegTech). Proficiency in Python, R, or Scala , with strong knowledge of libraries such as scikit-learn, TensorFlow, PyTorch, or similar. Strong understanding of statistics, probability, and machine learning techniques (classification, clustering, NLP, anomaly detection). Experience working 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 ❯

managers on the estimated effort and technical implications of user stories and user journeys.• Coaching and mentoring team members.MINIMUM (ESSENTIAL) REQUIREMENTS:• Strong software development experience in one of Java, Scala, or Python• Software development experience with data-processing platforms from vendors such as AWS, Azure, GCP, Databricks.• Experience of developing substantial components for large-scale data processing solutions and deploying 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 ❯

Qualification We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding language - e.g., Python, R, Scala, etc. (Python preferred) Strong proficiency in database technologies - e.g., SQL, ETL, No SQL, DW, and Big Data technologies - e.g., PySpark, Hive, etc. Experienced working with structured and also unstructured data More ❯