Role: Sr Data Engineer
Experience: 7 – 12 years
Salary: Not Disclosed
Location: Gurugram, United States (USA)
Employment Type: Full Time, Permanent
Education: UG: Any Graduate, PG: Any Postgraduate
About Adidas Company
Inspired using the aid manner of our heritage, we push the bounds of lifestyle and human basic overall performance. Through recreation, we’ve got the strength to trade lives. Headquartered in Herzogenaurach, Germany, we hire more than 59,000 people within the course of the globe.
Sr Data Engineer Description:
A Senior Data Engineer is a key member of facts engineering teams chargeable for designing, growing, and preserving statistics pipelines, infrastructure, and systems to assist in the gathering, processing, and analysis of big volumes of facts. Their function entails operating closely with records scientists, analysts, and enterprise stakeholders to ensure the availability, reliability, and overall performance of statistics infrastructure and platforms. Here’s a detailed process description for a Senior Data Engineer:
Roles and Responsibilities:
- Performance Tuning: Monitor and optimize facts pipelines and infrastructure for performance, scalability, and reliability.
- Data Security and Compliance: Implement records safety guidelines, get admission to controls, and compliance necessities to guard touchy records and make certain regulatory compliance.
- Collaboration and Communication: Collaborate with cross-functional groups to recognize facts and requirements, prioritize projects, and supply solutions that meet business targets.
- Data Modeling and Architecture: Design and put in force records models, schemas, and architectures to aid data garage, retrieval, and analysis necessities.
Sr Data Engineer Requirements:
- Programming Skills: Proficiency in programming languages such as Python, Java, or Scala, as well as enjoyment of SQL and scripting languages.
- Data Technologies: Strong information on records technology and equipment, along with databases, allotted computing frameworks, and cloud platforms.
- Data Modeling: Experience with records modeling strategies and gadgets to design and position into effect records models, schemas, and architectures.
- ETL Tools: Proficiency in ETL gadgets and frameworks for orchestrating and automating facts workflows and techniques.
- Cloud Computing: Experience with cloud computing systems and offerings, alongside cloud-based statistics garage, compute, and analytics services.
- Analytical Skills: Strong analytical and problem-fixing abilities to analyze complex statistics problems and growth-progressive solutions.
- Communication Skills: Excellent verbal exchange abilities to collaborate with move-purposeful groups and speak technical standards efficiently.
Key Responsibilities:
- Data Pipeline Development: Design, expand, and keep scalable and dependable statistics pipelines to ingest, manner, and rework facts from various resources, which include databases, APIs, and streaming systems.
- Data Modeling and Architecture: Design and put into effect facts models, schemas, and architectures to aid facts storage, retrieval, and evaluation necessities, ensuring scalability, performance, and maintainability.
- ETL (Extract, Transform, Load): Develop and optimize ETL strategies to extract, remodel, and load statistics into statistics warehouses, facts lakes, and other storage structures, ensuring records quality, integrity, and consistency.
- Data Integration: Integrate and consolidate records from multiple sources and formats to create unified datasets for evaluation and reporting purposes, leveraging equipment and technology inclusive of Apache Kafka, Apache Spark, and Apache Beam.
- Data Infrastructure Management: Manage and optimize facts infrastructure, including databases, records warehouses, and cloud storage offerings, to ensure high availability, performance, and value performance.
Sr Data Engineer Education and Experience:
- Education: A bachelor’s degree in laptop technology, engineering, arithmetic, or a related discipline is commonly required. A grasp’s degree or advanced certification in records engineering or a related subject can be preferred.
- Experience: Several years of experience in statistics engineering, database improvement, or software program engineering roles, with an established song record of designing and implementing scalable facts answers and infrastructure.
Sr Data Engineer Skills and Qualifications:
- Version Control: Proficiency in model manipulation systems, along with Git, for managing codebase, tracking adjustments, and participating with team individuals on code improvement and deployment.
- Data Modeling: Experience with data modeling techniques and tools to lay out and implement statistics fashions, schemas, and architectures for dependent, semi-structured, and unstructured information.
- ETL Tools: Proficiency in ETL gear and frameworks, which includes Apache Airflow, Apache NiFi, Talend, or Informatica, for orchestrating and automating records workflows and processes.
- Analytical Skills: Strong analytical and hassle-fixing capabilities to investigate complex information problems, perceive patterns and developments, and expand progressive solutions to cope with commercial enterprise challenges.
Apply Now: Sr Data Engineer
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