Data engineering is in high demand from multiple companies in the global data-driven market. It is known that data engineering is focused on building data warehouses to empower data-centric smart decisions in data companies efficiently and effectively. There are a plethora of opportunities for a data engineer to apply for data engineering jobs in data companies. Data engineering is one of the key components of a data science job. One can look out for a data science job as it is the hottest job in the tech world right now! Data engineering jobs are offering lucrative salary packages per annum with interesting roles and responsibilities. Some popular learning platforms are offering affordable data engineering courses to grab high-paid data engineering jobs in the nearby future. Let's explore some of the data companies offering the best data engineering jobs as a part of a data science job in June 2022.
Location: San Jose
Responsibilities: The data engineering job needs to partner with architects and data analysts to design and develop capabilities and features, and apply technologies to ingest, index, aggregate, and correlate customer data. It is necessary to design and lead the implementation of the Enterprise Master Data application.
Qualifications: The candidate must have a BS/MS in Computer Science or any technical field with more than five years of experience in designing and building software and data applications while over two years in deploying elegant customer master data solutions. There should be exposure to NoSQL, Agile, Waterfall development, infrastructure tools, RDBMS, and many more.
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Location: Kolkata
Responsibilities: It is essential to ensure apt integration of functions for identifying and defining necessary system enhancements and provide expertise to ensure application design adheres to the architecture blueprint. One should provide in-depth analysis, resolve multiple high-impact problems, as well as develop knowledge of architecture and infrastructure.
Qualifications: The candidate must have more than six years of experience in Abinitio development with expertise in advanced Abinitio elements, Unix Shell Scripting, and ETL.
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Location: Bengaluru
Responsibilities: Must define the data sourcing strategy to collect data and utilize existing data models for new ones. Engagement with the external ecosystem is required to develop the skills while being present in MI-related forums and conferences.
Qualifications: The candidate must have sufficient knowledge in machine learning, programming language, cognitive reasoning, semantic reasoning, deep neural networks, and explainable models.
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Location: Mumbai/Remote
Responsibilities: It is necessary to build and maintain optimal data pipeline architecture, and infrastructure needed for efficient extraction, transformation, and data-related technical issues. The role includes the duty to assemble large datasets to meet functional and non-functional business requirements while building data tools for analytics to strive for greater functionality in data systems.
Qualifications: The candidate needs to have a Bachelor's degree in any quantitative field with at least ten years of experience in the data engineering field. There should be sufficient experience in SQL, big data pipelines, Snowflake, cloud services, big data tools, and many more.
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Location: Hyderabad
Responsibilities: The main duties include data mining, trend analysis, process maturity, compliance assessment, iterative process activities, and providing training and leading Service Improvement Projects (SIP) while creating process requirements and ensuring application architecture and systems functionality meets the business goals.
Qualifications: The candidate must have a Bachelor's degree in any technical field.
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Location: Gurugram
Responsibilities: The role needs to build and implement data ingestion pipelines into SDW platform while maintaining the knowledge graph to answer complex lever recommendation questions. It is needed to design and build data pipelines that are robust, modular, reproducible, and versioned. One must create and manage data environments to ensure information security standards
Qualifications: The candidate must have a Bachelor's or Master's degree in any quantitative field with more than three years of experience with sufficient experience in AWS, data products, Python, SQL, graph database, and many more.
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Location: Bengaluru
Responsibilities: The key role is to manage and administer the data platform built on AWS, develop current data architecture and data availability while creating a data governance strategy, and establish key relationships with stakeholders.
Qualifications: The candidate needs to have a Bachelor's degree in any quantitative field with more than five years of experience in data modeling, data warehousing, optimizing SQL, big data technologies, and programming languages.
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Location: Hyderabad/Bengaluru
Responsibilities: It is needed to design and deploy internal applications to support the technology life cycle, service delivery management, collaboration, and spaces while translating business requirements into technical solutions. There should be able to develop internal solutions with custom front-end and back-end services.
Qualifications: The candidate must have a Bachelor's or Master's degree in any technical field with three years of experience in software development, data engineering, and data science. There should be a strong understanding of big data technologies and solutions, Google Cloud Platform, and scripting languages.
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Location: Bengaluru
Responsibilities: The data engineering job needs to design and develop project prototypes and solutions while delivering input in the planning process to the project leader. It is necessary to ensure proper documentation for the developed solutions in compliance with the quality management system and regulatory requirements.
Qualifications: The candidate needs to have five to eight years of practical experience in the latest version of core Java, Spring Framework, REST Framework, SQLs, cloud environment, and design patterns.
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Location: Pune
Responsibilities: The role includes being accountable for designing and developing data ingestion requirements, preparing technical designs, and service catalogs, and maintaining traceability of requirements for designing for non-functional requirements.
Qualifications: There should be a Bachelor's degree in any technical field with a strong understanding of MSSQL, SSIS, ETL, BI, SSRS, and many more.
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