Full-Time

Senior Gcp Data Engineer

Smai

Posted on 11/22/2025

Micron Technology

Micron Technology

10,001+ employees

Memory and storage semiconductor manufacturer

No salary listed

Hyderabad, Telangana, India

In Person

Category
Data & Analytics (1)
Required Skills
PHP
Python
JavaScript
Airflow
NoSQL
Data Structures & Algorithms
SQL
Java
C#
Perl
C/C++
Data Analysis
Snowflake
Google Cloud Platform
Requirements
  • 4-7 years of experience developing, delivering, and/or supporting data engineering, advanced analytics or business intelligence solutions
  • Ability to work with multiple operating systems and generic tools
  • Experienced in developing ETL/ELT processes using Apache Ni-Fi, Cloud solutions like GCP, Big Query and Snowflake or any equivalent etc.
  • Significant experience with big data processing and/or developing applications and data sources using different cloud services etc.
  • Experienced in integration with different Ingestion, Scheduling, logging, Alerting and Monitoring cloud services.
  • Understanding of how distributed systems work
  • Familiarity with software architecture (data structures, data schemas, etc.)
  • Strong working knowledge of databases (Cloud DBs like BQ, Snowflake, AlloyDB or any equivalents etc.) including SQL and NoSQL
  • Strong mathematics background, analytical, problem solving, and organizational skills
  • Strong communication skills (written, verbal and presentation)
  • Experience working in a global, multi-functional environment
  • Minimum of 2 years’ experience in any of the following: At least one high-level client, object-oriented language (e.g., C#, C++, JAVA, Python, Perl, etc.); at least one or more web programming language (PHP, MySQL, Python, Perl, JavaScript, ASP, etc.); one or more Data Extraction Tools (SSIS, Informatica etc.)
  • Software development
  • Ability to travel as needed
  • B.S. degree in Computer Science, Software Engineering, Electrical Engineering, Applied Mathematics or related field of study.
Responsibilities
  • Understand the Business Problem and the Relevant Data
  • Maintain and understanding of company and department strategy
  • Translate analysis requirements into data requirements
  • Identify and understand the data sources that are relevant to the business problem
  • Develop conceptual models that capture relationships within the data
  • Define the data-quality objectives for the solution
  • Be a subject matter expert in data sources and reporting options
  • Architect Data Management Systems
  • Use understanding of the business problem and the nature of the data to select appropriate data management systems (Big Data, OLTP, OLAP, etc.)
  • Design and implement optimum data structures in the appropriate data management system (GCP BQ, Snowflake, SQL server etc.) to satisfy the data requirements
  • Plan methods for archiving/deleting of information
  • Develop, Automate, and Orchestrate an Ecosystem of ETL Processes for Varying Volumes of Data
  • Identify and select the optimum methods of access for each data source (real-time/streaming, batch, delayed, static)
  • Determine transformation requirements and develop processes to bring structured and unstructured data from the source to a new physical data model
  • Develop processes to efficiently load the transformed data into the data management system
  • Prepare Data to Meet Analysis Requirements
  • Work with the data scientist to implement strategies for cleaning and preparing data for analysis (e.g., outliers, missing data, etc.)
  • Develop and code data extracts
  • Follow standard methodologies to ensure data quality and data integrity
  • Ensure that the data is fit to use for data science applications
Desired Qualifications
  • M.S. degree preferred

Micron Technology designs and manufactures memory and storage products, including DRAM, NAND, and NOR flash. These products power devices across computing, networking, automotive, industrial, and mobile markets. The company sells to OEMs, distributors, and end users worldwide and funds ongoing research and development to meet evolving needs. Micron aims to provide scalable memory solutions and maintain an inclusive, growth‑oriented workplace for its employees.

Company Size

10,001+

Company Stage

IPO

Headquarters

Boise, Idaho

Founded

1978

Simplify Jobs

Simplify's Take

What believers are saying

  • HBM4 36GB 12H enters volume shipments in Q1 2026 with full 2026 sold out.
  • Fiscal Q3 2026 revenue guides to $33.5 billion with 81% margins.
  • Acquired Powerchip’s P5 site on March 15, 2026, expanding Taichung campus.

What critics are saying

  • SK Hynix launches 12-layer HBM4E in Q3 2026, capturing 60% Nvidia Blackwell Ultra.
  • US-China controls force Xi’an facility relocation, costing $2B+ in 12 months.
  • Taiwan earthquake halts Taichung fab’s 30% DRAM output for 4-6 months.

What makes Micron Technology unique

  • Micron ships 245TB Micron 6600 ION SSD using G9 QLC NAND.
  • Micron samples 256GB DDR5 RDIMM on 1-gamma DRAM for AI servers.
  • Micron produces SOCAMM2 192GB for NVIDIA Vera Rubin platforms.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Disability Insurance

Parental Leave

Unlimited Paid Time Off

Paid Holidays

Flexible Work Hours

Company News

Yahoo Finance
Apr 10th, 2026
Micron stock surges 230% since 2025 on AI demand and record $23.86B quarterly revenue

Micron Technology, a global leader in memory and storage solutions, saw its stock rise following ceasefire news, though shares remain 13% below their mid-March peak of $471. The company has surged over 230% since late 2025, significantly outperforming the S&P 500 Information Technology Index. Micron recently announced its exit from the consumer-facing Crucial brand to focus on high-growth AI infrastructure, including High Bandwidth Memory and low-power server modules for large language models. The company reported record second-quarter revenue of $23.86 billion, up 196% year-over-year, beating analyst expectations of $19.19 billion. Non-GAAP diluted earnings per share reached $12.20, surpassing the $8.79 consensus. The semiconductor company's performance is driven by rising memory prices and strong demand from the AI sector.

Gulf & Main Magazine
Apr 8th, 2026
SiMa.ai secures strategic investment from Micron to scale power-efficient physical AI solutions

SiMa.ai, a physical AI company, has secured a strategic investment from Micron Technology to scale production of high-performance, power-efficient AI solutions for edge applications. The investment strengthens collaboration between the companies on integrated compute and memory architectures for robotics, autonomous systems and industrial automation. SiMa.ai's Modalix MLSoC platform integrates Micron's LPDDR5X memory to deliver superior bandwidth efficiency and power optimisation. The company offers system-on-modules featuring Micron memory that fit into existing platforms for robotics, industrial automation and autonomous vehicles. The investment expands SiMa.ai's technology partnership ecosystem, which includes Arm, Synopsys, TSMC and Wind River. San Jose-based SiMa.ai focuses on scaling physical AI across multiple sectors including automotive, aerospace and healthcare.

Yahoo Finance
Apr 8th, 2026
Wall Street sees Palantir and Micron AI stocks soaring 35% and 50% despite recent dips

Palantir Technologies and Micron Technology have seen significant upward revisions to earnings estimates, creating a buying opportunity according to Wall Street analysts. Palantir's median target price of $200 per share implies 35% upside, whilst Micron's target of $550 suggests 50% potential gains. Palantir develops data integration and analytics platforms, particularly for government agencies, with its AI platform AIP distinguishing itself through a decision-making framework called an ontology. The company reported fourth-quarter revenue growth of 70% to $1.4 billion and achieved a record Rule of 40 score of 127%. Despite trading at 197 times adjusted earnings, analysts have raised current-year earnings forecasts by 30% to $1.31 per diluted share, implying 75% growth. The stock is down 28% from its high.

Yahoo Finance
Apr 8th, 2026
Micron stock drop overdone: Nvidia's AI chips still require HBM despite Google's TurboQuant

Micron Technology shares plunged in late March after Alphabet unveiled TurboQuant, software that compresses memory footprints in large language models during inference. The sell-off stemmed from concerns about Micron's relationship with Nvidia, as its high-bandwidth memory solutions power Nvidia's graphics processing units. However, the panic-selling appears premature. TurboQuant reduces working memory requirements during operation but doesn't shrink AI models themselves. Nvidia's GPUs remain dependent on external memory systems, including Micron's stacked dynamic random-access memory layers, for seamless data transfer between parameters and compute networks. Whilst TurboQuant minimises storage space whilst preserving model accuracy, it doesn't eliminate the need for rapid data transfer capabilities that Micron's chips provide. Nvidia's AI ecosystem continues to require massive amounts of specialised memory to process the terabytes needed for today's models.

Yahoo Finance
Apr 6th, 2026
Micron's revenue triples to $23.9B on mid-110% DRAM price surge, but growth faces sustainability concerns

Micron Technology's shares have more than quadrupled over the past year, but the growth story relies heavily on soaring prices rather than volume. In its latest quarter ending 26 February, revenue reached $23.9 billion, triple the prior year's $8.1 billion, whilst net income of $13.8 billion was nearly nine times higher. However, the revenue surge was primarily price-driven. DRAM revenue rose 207%, with average selling prices up mid-110% whilst shipments increased only mid-40%. NAND products showed similar patterns, with sales up 169% as prices more than doubled. The sustainability of this growth faces challenges as Micron will soon compare against these inflated figures. If supply catches up with demand and prices decline, growth could turn negative. Despite trading at only six times estimated future earnings, the stock has pulled back over 20% from its 52-week high.

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