Top Data Engineer Jobs in Hyderabad, TG
Design, construct, implement, and maintain highly scalable data engineering platforms. Build high-performance algorithms for processing massive amounts of data. Integrate new data management technologies and tools. Collaborate with team members to achieve project goals. Manage existing platforms and create custom data engineering components.
Seeking a Senior Data Engineer with 7+ years of experience in managing and optimizing big data pipelines, architectures, and data sets. Must have experience with Azure data technologies, relational databases, and visualization tools. Strong academic background and certifications are preferred.
Seeking a Senior Data Engineer to design and implement data solutions, develop data pipelines, optimize data models, and collaborate with teams for seamless integration and visualization. Mentor junior team members and stay updated with industry best practices.
Lead Data Engineer with expertise in Terraform, Snowflake, AWS, Azure, SQL, and DPD. Python and DataDog knowledge is a plus. Responsible for leading data engineering projects and ensuring efficient data solutions.
As a Senior Data Engineer at H1, you will play a key role in shaping and delivering data engineering initiatives, work independently on complex challenges, collaborate with teams, mentor junior engineers, and maintain high engineering standards.
Seeking bright and resourceful individuals for the Data team at AlphaGrep, a quantitative trading and investment firm in Mumbai. Responsibilities include building infrastructure tools, optimizing data delivery, coordinating with global teams, and writing efficient code. Required skills include Python and SQL knowledge. Good to have experience with web crawling, Linux environment, and stock market data.
Join our Data Engineering team to develop innovative data solutions using leading technologies like Python, Scala, Java, SQL, Hadoop, Spark, AWS, Azure, and GCP. Collaborate with stakeholders to optimize data infrastructure for performance and reliability. Bachelor's degree in Computer Science or related field and 5+ years of experience required.
Seeking a Senior Data Engineer to design, model, and implement data analysis solutions, support ETL pipeline modules, and work on large-scale data analytics platforms. Must have strong analytical skills, be a self-motivated learner, and have excellent communication skills. Experience with Java, JavaScript, Apache Spark, and data analysis is required.
As a Sr. Big Data Engineer at Micron Technology Inc., responsible for developing and growing Micron’s methods and systems for extracting new insight from data streams. Collaborate with cross-functional teams to design and implement data systems, create solutions, and support existing solutions.
Lead Data Engineer responsible for designing, developing, and maintaining data infrastructure, providing technical leadership, collaborating with cross-functional teams, driving innovation, overseeing data pipelines deployment, contributing to data strategies, and fostering a culture of collaboration and excellence within the team.
Design and implement data solutions using various technical stacks and programming languages. Provide thought leadership and recommend technologies and solutions. Develop custom data pipelines and optimize SQL queries. Must have at least 4 years of experience as a Software Engineer, Data Engineer, or Data Analyst.
Lead in the creation, expansion, and optimization of data and data pipeline architecture. Support data analysts on data initiatives and ensure optimal data delivery architecture. Create and maintain optimal data pipeline architecture, assemble large data sets, build analytics tools, work with stakeholders, and create data tools for team members.
As a Senior Data Engineer at Komodo Health, you will drive the development of data products and tools using technologies like Spark, Airflow, and Snowflake. Responsibilities include writing enterprise-level code, leading data pipelining, and enhancing operational stability of software applications.
Lead and drive the execution of multiple business plans and projects related to data engineering. Implement new architectural patterns and promote high standards of code quality and system reliability. Must have strong hands-on experience with Hadoop, Hive, Apache Spark, and expertise in cloud computing platforms such as Google Cloud Platform (GCP).
Senior Data Engineer responsible for providing high-quality data sets, building data products, developing data models, and maintaining data pipelines. Collaborates with various teams and ensures data solutions meet SLAs. Requires expertise in Big Data technologies, SQL optimization, ETL processes, AWS ecosystem, and programming languages like Python, Java, and Scala.
Analytics Engineer at Opendoor to drive direct business impact with executive-level visibility, design technical architecture, work on joining various online and offline data sets, grow Data Science and Data Analytics skills, mentor junior team members, collaborate with infrastructure and product engineers, design and monitor scalable data pipelines, establish best practices for data engineering, assess build vs buy tradeoffs for components, and be a founding member of the Data Engineer team.
Participates as a senior member of data development team, completes data analysis, and develops batch, real-time, and streaming data integration codes independently. Designs, prepares, and automates test cases, applies technical knowledge to maintain data engineering, and implements complex infrastructure and software solutions using company and open-source technologies.
Design, build, and shape data pipelines and infrastructure to support a modern data lake for a clinical trial enrollment platform. Work directly with sponsors and external parties on data products. Support internal and external data products by building, scaling, and integrating data processes. Ensure compliance with regulatory frameworks and drive best practices for high-performance systems.
Modernizing Medicine is seeking a Senior Data Engineer with expertise in SQL, Spark, and AWS cloud services to revolutionize Healthcare IT. Responsibilities include developing data pipelines, guiding infrastructure design, collaborating with teams, and providing thought leadership.
Seeking a highly skilled Senior Big Data Engineer with experience in developing and scaling stream and batch processing systems using GCP technologies. Responsibilities include building reliable code, implementing automation best practices, and leveraging various tools. Remote work environment with a focus on problem-solving and communication.
As a Sr Data Engineer at S&P Global, you will architect, build, and maintain data infrastructure to support advanced analytics and machine learning. Collaborate with stakeholders, design data pipelines, ensure compliance, optimize algorithms, and deploy solutions in production. Required skills include Python, R, Java, C#, SQL, NoSQL, Pyspark, and experience with big data technologies like Hadoop, Spark, Kafka, and Airflow.
The Senior Data Engineer at Clarion Partners is responsible for leading the engineering efforts for a new quantitative research team, involving data extraction, transformation, storage, and serving data for investment decision-making in real estate portfolios. They are also required to contribute to research projects, communicate complex quantitative ideas, lead research projects, and support the development of a long-term roadmap. Qualifications include a Bachelor's degree in computer science or related field, 8 years of experience, expertise in data engineering and cloud computing, and proficiency in SQL, python, and data science libraries.
Modernizing Medicine is seeking a Senior Data Engineer to develop and maintain data pipelines, guide data infrastructure design, liaise with engineering and product teams, design code, and provide thought leadership on diverse projects.
As a Data Architect III at JPMorgan Chase, you will develop high-quality data architecture solutions for various software applications and platforms, evaluate data architecture designs, lead the data architecture team in evaluating new technologies, and contribute to data architecture communities of practice.
Lead Data Engineer with 7+ years of experience in managing and optimizing big data pipelines, architectures, and data sets. Proficient in Azure data factory, Azure Synapse, Power Apps, Logic Apps, relational SQL databases, and visualization tools like PowerBI and Tableau. Experience working in a dynamic environment and supporting cross-functional teams. Good academic track record preferred.
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