

The Merck Data Engineering Team is responsible for designing, developing, testing, and supporting automated end-to-end data pipelines and applications on Merck’s data management and global analytics platform (Palantir Foundry, Hadoop, AWS and other components).
The Foundry platform comprises multiple different technology stacks, which are hosted on Amazon Web Services (AWS) infrastructure or on-premise Merck’s own data centers. Developing pipelines and applications on Foundry requires:
• Proficiency in SQL / Java / Python (Python required; all 3 not necessary)
• Proficiency in PySpark for distributed computation
• Familiarity with Postgres and ElasticSearch
• Familiarity with HTML, CSS, and JavaScript and basic design/visual competency
• Familiarity with common databases (e.g. JDBC, mySQL, Microsoft SQL). Not all types required
This position will be project based and may work across multiple smaller projects or a single large project utilizing an agile project methodology.
Roles & Responsibilities:
• Develop data pipelines by ingesting various data sources – structured and un-structured – into Palantir Foundry
• Participate in end to end project lifecycle, from requirements analysis to go-live and operations of an application
• Acts as business analyst for developing requirements for Foundry pipelines
• Review code developed by other data engineers and check against platform-specific standards, cross-cutting concerns, coding and configuration standards and functional specification of the pipeline
• Document technical work in a professional and transparent way. Create high quality technical documentation
• Work out the best possible balance between technical feasibility and business requirements (the latter can be quite strict)
• Deploy applications on Foundry platform infrastructure with clearly defined checks
• Implementation of changes and bug fixes via Merck's change management framework and according to system engineering practices (additional training will be provided)
• DevOps project setup following Agile principles (e.g. Scrum)
• Besides working on projects, act as third level support for critical applications; analyze and resolve complex incidents/problems. Debug problems across a full stack of Foundry and code based on Python, Pyspark, and Java
• Work closely with business users, data scientists/analysts to design physical data models

About Merck Group
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Experience: 0 - 2 Years
Language: English, Hindi (Required)
Work Location: HRBR Layout, Bangalore, Karnataka
Job Summary:
We are seeking a motivated Business Development Executive to join our team and play a key role in engaging with customers over the phone. The ideal candidate will be responsible for reaching out to potential and existing customers, generating leads, promoting products or services, and ensuring a positive customer experience.
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Apply now for the role of Technical Recruiter at Codebuddy which is opening doors for skilled, energetic individuals who are looking to grow exponentially in their careers. If you are passionate, dedicated with good communication skills you would fit perfectly for this opportunity.
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Designing and building optimized data pipelines using cutting-edge technologies in a cloud environment to drive analytical insights.This would also include develop and maintain scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity
Constructing infrastructure for efficient ETL processes from various sources and storage systems.
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Leading the implementation of algorithms and prototypes to transform raw data into useful information.
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Creating innovative data validation methods and data analysis tools.
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Preparing data for prescriptive and predictive modeling.
Continuously exploring opportunities to enhance data quality and reliability.
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Writes unit/integration tests, contributes towards documentation work
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High proficiency in Scala/Java/ Python API frameworks/ Swagger and Spark for applied large-scale data processing.
Expertise with big data technologies, API development (Flask,,including Spark, Data Lake, Delta Lake, and Hive.
Solid understanding of batch and streaming data processing techniques.
Proficient knowledge of the Data Lifecycle Management process, including data collection, access, use, storage, transfer, and deletion.
Expert-level ability to write complex, optimized SQL queries across extensive data volumes.
Experience with RDBMS and OLAP databases like MySQL, Redshift.
Familiarity with Agile methodologies.
Obsession for service observability, instrumentation, monitoring, and alerting.
Knowledge or experience in architectural best practices for building data pipelines.
Good to Have:
Passion for testing strategy, problem-solving, and continuous learning.
Willingness to acquire new skills and knowledge.
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We firmly believe in Excellence Everywhere.
Job Description
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Magento Developers with 3+ years of experience
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About the company:
CogniTensor is an analytical software company that brings data to the heart of decision-making. CogniTensor leverages its product, DeepOptics - an integrated platform to implement 3A (Automation, Analytics and AI) at scale.
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About FlytBase
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This role comes with an annual CTC that is market competitive and depends on the quality of your work experience, degree of professionalism, culture fit and alignment with FlytBase’s long-term business strategy.

