Job Title: Azure Data EngineerJob Summary: As an Azure Data Engineer, you will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams. You will be an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.Key Responsibilities:<ul><li>Develop, construct, test, and maintain architectures such as databases and large-scale processing systems.</li><li>Ensure that architecture will support the requirements of the business and industry practices.</li><li>Implement data flows to connect operational systems, data for analytics, and BI systems.</li><li>Conduct data modeling, analysis, and mining.</li><li>Utilize Azure cloud services: Azure SQL Data Warehouse, Azure Data Lake, Blob Storage, Data Factory, Databricks, Stream Analytics, Cosmos DB, and other services to build scalable and high-performance data solutions.</li><li>Comply with data security and privacy policies and understand data governance.</li><li>Develop batch & real-time analytical solutions, prototypes, and proofs of concept for selected solutions.</li><li>Implement effective metrics and monitoring processes.</li><li>Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs.</li></ul>Required Skills and Qualifications:<ul><li>Bachelors degree in Computer Science, Engineering, or relevant field; a Masters is a plus.</li><li>Proven experience as an Azure Data Engineer or in a similar role.</li><li>Experience with Azure cloud services: ADLS, Azure Data Factory, Azure Databases, Databricks, etc.</li><li>Experience with SQL database design and the ability to write SQL queries.</li><li>Strong analytic skills related to working with unstructured datasets.</li><li>Experience with data pipeline and workflow management tools.</li><li>Experience with stream-processing systems: Storm, Spark-Streaming, etc.</li><li>Experience with object-oriented/object function scripting languages: Python, Scala, etc.</li></ul>Preferred Skills:<ul><li>Certifications in Azure Data Engineering or any relevant certifications.</li><li>Experience with machine learning and AI.</li><li>Knowledge of data management fundamentals and data storage principles.</li><li>Knowledge of distributed systems as it pertains to data storage and computing.</li></ul>We can offer you:<ul><li>A highly competitive compensation and benefits package</li><li>A multinational organization with 48 offices in 19 countries and the possibility to work abroad</li><li>Laptop and a mobile phone</li><li>10 days of paid annual leave (plus sick leave and national holidays)</li><li>Maternity & Paternity leave plans</li><li>A comprehensive insurance plan including: medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region)</li><li>Retirement savings plans</li><li>A higher education certification policy</li><li>Commuter benefits (varies by region)</li><li>Extensive training opportunities, focused on skills, substantive knowledge, and personal development</li><li>On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses </li><li>Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups</li><li>Cutting edge projects at the worlds leading tier-one banks, financial institutions and insurance firms</li><li>A flat and approachable organization</li><li>A truly diverse, fun-loving and global work culture</li></ul>SYNECHRONS DIVERSITY & INCLUSION STATEMENTDiversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicants gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.acteristic protected by law.by Jobble

Job Title: Azure Data Engineer Job Summary: As an Azure Data Engineer, you will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams. You will be an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. Key Responsibilities:<ul><li>Develop, construct, test, and maintain architectures such as databases and large-scale processing systems.</li><li>Ensure that architecture will support the requirements of the business and industry practices.</li><li>Implement data flows to connect operational systems, data for analytics, and BI systems.</li><li>Conduct data modeling, analysis, and mining.</li><li>Utilize Azure cloud services: Azure SQL Data Warehouse, Azure Data Lake, Blob Storage, Data Factory, Databricks, Stream Analytics, Cosmos DB, and other services to build scalable and high-performance data solutions.</li><li>Comply with data security and privacy policies and understand data governance.</li><li>Develop batch & real-time analytical solutions, prototypes, and proofs of concept for selected solutions.</li><li>Implement effective metrics and monitoring processes.</li><li>Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs.</li></ul> Required Skills and Qualifications:<ul><li>Bachelor’s degree in Computer Science, Engineering, or relevant field; a Master’s is a plus.</li><li>Proven experience as an Azure Data Engineer or in a similar role.</li><li>Experience with Azure cloud services: ADLS, Azure Data Factory, Azure Databases, Databricks, etc.</li><li>Experience with SQL database design and the ability to write SQL queries.</li><li>Strong analytic skills related to working with unstructured datasets.</li><li>Experience with data pipeline and workflow management tools.</li><li>Experience with stream-processing systems: Storm, Spark-Streaming, etc.</li><li>Experience with object-oriented/object function scripting languages: Python, Scala, etc.</li></ul> Preferred Skills:<ul><li>Certifications in Azure Data Engineering or any relevant certifications.</li><li>Experience with machine learning and AI.</li><li>Knowledge of data management fundamentals and data storage principles.</li><li>Knowledge of distributed systems as it pertains to data storage and computing.</li></ul> We can offer you:<ul><li>A highly competitive compensation and benefits package</li><li>A multinational organization with 48 offices in 19 countries and the possibility to work abroad</li><li>Laptop and a mobile phone</li><li>10 days of paid annual leave (plus sick leave and national holidays)</li><li>Maternity & Paternity leave plans</li><li>A comprehensive insurance plan including: medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region)</li><li>Retirement savings plans</li><li>A higher education certification policy</li><li>Commuter benefits (varies by region)</li><li>Extensive training opportunities, focused on skills, substantive knowledge, and personal development</li><li>On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses </li><li>Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups</li><li>Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms</li><li>A flat and approachable organization</li><li>A truly diverse, fun-loving and global work culture</li></ul> SYNECHRON’S DIVERSITY & INCLUSION STATEMENTDiversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.acteristic protected by law.

Title - Java + Databricks developer Location - Weehawken, NJ (Onsite) Responsibilities : Must have skills - Java, PySpark and Azure Databricks, Azure PaaS experience •6 to 8 years of IT experience and at least 4+ years in cloud native data engineering solution design/architecture and development. •Strong hands-on expertise in building Data engineering solutions using Java, Apache Spark and Scala. •Deep expertise in Performance tuning and optimization of Java/Spark/Scala programs. •bility to design and build data engineering tasks using Data bricks framework. •Hands on experience working with Azure Cloud services like Azure Data Factory, Azure Data Lake Storage, Azure Even hub, Azure SQL, Azure Analytical services, Azure Cosmos DB, •Should be able to demonstrate expertise in designing and building efficient and scalable data engineering solutions using Massively Parallel Processing (MPP) architecture. •Micro-batch streaming and continuous streaming process in Databricks for high latency, low latency and ultra-low latency of data accordingly by using inbuilt Apache spark modules. •Data Ingestion to one or more Azure Services - (Azure Data Lake, Azure Storage, Azure SQL, Azure DW) and processing the data in Azure Databricks. •Build data pipelines for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL •Experience in writing HQL queries in Hive Data warehouse and performance tuning of HIVE scripts •Well versed with Relational and Dimensional Modelling techniques like Star, Snowflake Schema, OLTP, OLAP, Normalization, Fact and Dimensional Tables •Proficient in creating Technical Design Documents (TDD). •Familiar with DevOps principles and experience in CD/CI implementations using Azure native services. •Very good customer relationship and stakeholder management skills •Excellent communication and presentation skills. Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

Data Engineer Jobs in Weehawken, NJ

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April 22, 2024

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Azure Data Engineer
April 17, 2024

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Data Engineer
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Azure Data Engineer
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Data Engineer Jobs in Weehawken, NJ

Azure Data EngineerApril 22, 2024

Azure Data EngineerApril 20, 2024

Azure Data EngineerApril 17, 2024

Azure Data EngineerApril 13, 2024

Data EngineerApril 7, 2024

Azure Data EngineerMarch 30, 2024