28 Sparksql Jobs - Page 2

Key Skills: SCALA, Apache Spark, SQL, SparkSQL, Spark, Core Java, Java Roles and Responsibilities: Lead technical initiatives and contribute as a senior team member to achieve project goals and deadlines. Collaborate with team members to design, implement, and optimize software solutions aligned with organizational objectives. Build scalable, efficient, and high-performance pipelines and workflows for processing large amounts of batch and real-time data. Perform multidisciplinary work, supporting real-time streams, ETL pipelines, data warehouses, and reporting services. Recommend and advocate for technology upgrades to company leaders to ensure infrastructure remains robust and competitive. Design and develop microservices and data applications while ensuring seamless integration with other systems. Leverage Big Data technologies like Kafka, AWS S3, EMR, and Spark to handle data ingestion, transformation, and querying. Follow coding best practices, including unit testing, code reviews, code coverage, and maintaining comprehensive documentation. Conduct thorough code reviews to maintain quality, mentor junior team members, and promote continuous learning within the team. Enhance system performance through analysis and capacity planning, ensuring efficient and reliable software releases. Actively bring new and innovative solutions to address challenging software issues that arise throughout the product lifecycle. Implement and promote security protocols and data governance standards across development projects. Actively engage in Agile processes to foster collaboration and innovation within the team. Required job skills: Strong software design capabilities with a deep understanding of design patterns and performance optimizations. Proficiency in writing high-quality, well-structured code in Java and Scala. Expertise in SQL and relational databases, with advanced skills in writing efficient, complex queries and optimizing database performance. Expertise in cloud computing infrastructure, particularly AWS (Aurora MySQL, DynamoDB, EMR, Lambda, etc.). Solid experience with Big Data tools such as Apache Spark and Kafka. Ability to clearly document and communicate technical solutions to diverse audiences. Experience mentoring and conducting constructive code reviews to support team development. Familiarity with Agile methodologies and modern development tools. Skills Required: 10+ years experience in designing and developing enterprise level software solutions 3 years experience developing Scala / Java applications and microservices using Spring Boot 7 years experience with large volume data processing and big data tools such as Apache Spark, SQL, Scala, and Hadoop technologies 5 years experience with SQL and Relational databases 2 year Experience working with the Agile/Scrum methodology Education: Bachelors Degree in related field

We are seeking a Software Engineer with 4-7 year of experience to join our ETL Development team. This role will report to the Manager of data engineering and be involved in the planning, design, and implementation of our centralized data warehouse solution for ETL, reporting and analytics across all applications within the company. Qualifications: Deep knowledge and experience working with SSIS, T-SQL, Azure Databricks, Azure Data Lake, Azure Data Factory,. Experienced in writing SQL objects SP, UDF, Views Experienced in data modeling. Experience working with MS-SQL and NoSQL database systems such as Apache Parquet. Experience in Scala, SparkSQL, Airflow is preferred. Experience with acquiring and preparing data from primary and secondary disparate data sources Experience working on large scale data product implementation. Experience working with agile methodology preferred. Healthcare industry experience preferred. Responsibilities: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions Work with other team with deep experience in ETL process and data science domains to understand how to centralize their data Share your passion for staying experimenting with and learning new technologies. Perform thorough data analysis, uncover opportunities, and address business problems. Working in an evolving healthcare setting, we use our shared expertise to deliver innovative solutions. Our fast-growing team has opportunities to learn and grow through rewarding interactions, collaboration and the freedom to explore professional interests.

What you will do Lets do this. Lets change the world. In this vital role you will create and develop data lake solutions for scientific data that drive business decisions for Research. You will build scalable and high-performance data engineering solutions for large scientific datasets and collaborate with Research collaborators. You will also provide technical leadership to junior team members. The ideal candidate possesses experience in the pharmaceutical or biotech industry, demonstrates deep technical skills, is proficient with big data technologies, and has a deep understanding of data architecture and ETL processes. Roles & Responsibilities: Lead, manage, and mentor a high-performing team of data engineers Design, develop, and implement data pipelines, ETL processes, and data integration solutions Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks Develop and maintain data models for biopharma scientific data, data dictionaries, and other documentation to ensure data accuracy and consistency Optimize large datasets for query performance Collaborate with global multi-functional teams including research scientists to understand data requirements and design solutions that meet business needs Implement data security and privacy measures to protect sensitive data Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions Collaborate with Data Architects, Business SMEs, Software Engineers and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions Identify and resolve data-related challenges Adhere to best practices for coding, testing, and designing reusable code/component Explore new tools and technologies that will help to improve ETL platform performance Participate in sprint planning meetings and provide estimations on technical implementation What we expect of you We are all different, yet we all use our unique contributions to serve patients. The [vital attribute] professional we seek is a [type of person] with these qualifications. Basic Qualifications: Doctorate Degree OR Masters degree with 4 - 6 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Bachelors degree with 6 - 8 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Diploma with 10 - 12 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field Preferred Qualifications: 3+ years of experience in implementing and supporting biopharma scientific research data analytics (software platforms) Functional Skills: Must-Have Skills: Proficiency in SQL and Python for data engineering, test automation frameworks (pytest), and scripting tasks Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing Excellent problem-solving skills and the ability to work with large, complex datasets Able to engage with business collaborators and mentor team to develop data pipelines and data models Good-to-Have Skills: A passion for tackling complex challenges in drug discovery with technology and data Good understanding of data modeling, data warehousing, and data integration concepts Good experience using RDBMS (e.g. Oracle, MySQL, SQL server, PostgreSQL) Knowledge of cloud data platforms (AWS preferred) Experience with data visualization tools (e.g. Dash, Plotly, Spotfire) Experience with diagramming and collaboration tools such as Miro, Lucidchart or similar tools for process mapping and brainstorming Experience writing and maintaining technical documentation in Confluence Understanding of data governance frameworks, tools, and best practices Professional Certifications: Databricks Certified Data Engineer Professional preferred Soft Skills: Excellent critical-thinking and problem-solving skills Good communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated presentation skills