analytics engineer

metropolis

<div><h3 class="jobSectionHeader"><b>Who we are</b></h3>
<p>
Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just &quot;drive in and drive out.&quot; We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.</p>
<h3 class="jobSectionHeader"><b>
What you'll do</b></h3>
<p>
Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.</p>
<h3 class="jobSectionHeader"><b>
What we're looking for</b></h3>
<ul><li>5+ years experience with data/analytics engineering</li>
<li>5+ years of experience with Python and SQL (preferably Snowflake)</li>
<li>3+ years of experience with dbt (dbt certification a plus)</li>
<li>Owned large-scale data projects that drove significant impact across the company by effectively partnering with engineering, data analysts, data scientists, and other business stakeholders</li>
<li>Mentored other stakeholders in Data Science/Analytics, PM, and Engineering on data best practices</li>
<li>Led the design, implementation, and monitoring of large-scale data warehouses and data marts that enable clear product-focused insights</li>
<li>An expert at SQL, window functions, STRUCT/ARRAY manipulation, and query optimization</li>
<li>Promoted performance best practices for your tables depending on the database engine (partitions, sort keys, dist keys, clustering, incremental modeling)</li>
<li>Designed systems with a test-driven approach in mind to trap bad quality data or highlight alerts as part of your data flow</li>
<li>Familiarity with ELT (Extract, Load, Transform) processes and tools to prepare and clean data for analysis</li>
<li>Skill in using tools like dbt to build data transformation pipelines</li>
</ul><h3 class="jobSectionHeader"><b>Our Stack</b></h3>
<ul><li>Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)</li>
<li>Datastores: MySQL, PostgreSQL, Snowflake</li>
<li>Cloud: AWS</li>
<li>Version control: Git &amp; GitHub</li>
<li>AI Tooling: Copilot on GitHub</li>
<li>Observability: Datadog</li>
</ul>
<p></p><p><i>When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. </i><i>#LI-SR1 #LI-Onsite</i></p><div><p><i>
Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection</i></p>
<p><i>
Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting.</i></p>
<p><i>
As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.</i></p>
<p><i>
Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.</i></p></div></div>

Senior Analytics Engineer

Deliveroo

<div><p><b>Why Deliveroo?</b></p><p>
Deliveroo&rsquo;s mission is to transform the way you shop and eat, bringing the neighbourhood to your door by connecting consumers, restaurants, shops and riders. We obsess about building the future of food, whilst using our network as a force for good. We're at the forefront of an industry, powered by our market-leading technology and unrivalled network to bring incredible convenience and selection to our customers.</p><p>
Working at Deliveroo is the perfect environment to build an engineering career, driven by impact. Firstly, the impact that working here will have on your development, allowing you to grow faster than you might elsewhere; secondly, the impact that you can have on Deliveroo, leaving your mark as we scale; and finally, being part of something bigger, through the impact that we make together in our marketplace and communities.</p><p><b><br>
The Role</b></p><p>
Working as part of our Analytics Engineering team and reporting to one of our Analytics Engineering Managers, your role will be to provide clean, tested, well-documented and well-modelled data sets, that will enable and empower data scientists and business users alike, via tools like Snowflake and/or Looker.</p><p>
You'll work with product engineering teams to ensure modelling of source data meets downstream requirements.</p><p>
You will maintain and develop SQL data transformation scripts, and advise and review data scientists on data modelling to achieve denormalised and aggregated output datasets.</p><p>
You'll work with data scientists and other analytics engineers to surface clean, intuitive datasets in our BI tool, Looker.</p><p>
You will be responsible for optimisation and further adoption of Looker as a data product in the business, catering to ~1500 current active users who need to discover and interact with data.</p><p><b><br>
Skillset</b></p><p>
Required</p><ul><li><p>
6+ year experience within the field of Analytics Engineering, BI Engineering or Data Engineering</p></li><li><p>
Excellent SQL skills</p></li><li><p>
Understanding of data warehousing, data modelling concepts and structuring new data tables</p></li><li><p>
Knowledge of cloud-based MPP data warehousing (e.g. Snowflake, BigQuery, Redshift)</p></li></ul><p>
Nice to have</p><ul><li><p>
Experience within the Ads domain</p></li><li><p>
2+ years experience developing in a BI tool (Looker or similar)</p></li><li><p>
Good practical understanding of version control</p></li><li><p>
SQL ETL/ELT knowledge, experience with DAGs to manage script dependencies</p></li><li><p>
Python coding skills, particularly in automation &amp; integrations</p></li><li><p>
Knowledge of the Looker API</p></li></ul><p><b><br>
Workplace &amp; Diversity</b></p><p>
At Deliveroo we know that people are the heart of the business and we prioritise their welfare. We offer multiple great benefits in areas including health, family, finance, community, convenience, growth and relocation.</p><p>
We believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are - your gender, race, sexuality, religion or a secret aversion to coriander. All you need is a passion for (most) food and a desire to be part of one of the fastest growing start-ups around.</p><p>
#LI-Hybrid</p></div>

The Clorox Company

<div><div>Clorox is the place that&rsquo;s committed to growth &ndash; for our people and our brands. Guided by our purpose and values, and with people at the center of everything we do, we believe every one of us can make a positive impact on consumers, communities and teammates. Join our team. <div>#CloroxIsThePlace</div></div><div></div><div>
Your role at Clorox:</div><div></div>
We are seeking a People Analytics Engineer with strong expertise in Business Intelligence and Data Engineering to join our People Analytics &amp; Insights team. This role will design, develop, and maintain scalable data solutions that empower Clorox leaders and business partners to make data-driven decisions. You will play a key role in transforming complex workforce data into actionable insights through innovative products.<div></div><div>
In this role, you will:</div><div></div><ul><li>
Design and develop advanced dashboards and reports to visualize people metrics, workforce trends, and predictive analytics.</li><li>
Build and maintain robust data models, ensuring accuracy, consistency, and usability across all analytics solutions.</li><li>
Integrate and manage data pipelines from multiple sources (HRIS, ATS, engagement platforms, etc.) to deliver timely and reliable insights.</li><li>
Collaborate with cross-functional stakeholders to translate complex business questions into clear, data-driven solutions.</li><li>
Provide actionable insights on workforce planning, talent acquisition, retention, and diversity to inform strategic initiatives.</li><li>
Implement and uphold data governance standards, including security roles and compliance protocols, to maintain data integrity and confidentiality.</li></ul><div></div><div>
What we look for:</div><ul><li>
3+ years in BI development, preferably in HR or People function.</li><li>
Bachelor's degree is preferred or equivalent job experience</li><li>
Expertise in SQL, comfortable with at least one programming language (e.g. Python, R, etc)</li><li>
Experience using a data warehouse (Snowflake or Databricks preferred)</li><li>
Proven experience with Dashboard (Power BI experience is required)</li><li>
Familiarity with HR systems (Workday, SAP SuccessFactor, etc.) is a plus.</li><li>
Knowledge of data governance and security best practices.</li><li>
Strong analytical thinking and problem-solving ability.</li><li>
Excellent communication skills to explain technical concepts to non-technical stakeholders.</li></ul><div></div><div>
Workplace type:</div>
Remote<div></div><div>
Our values-based culture connects to our purpose and empowers people to be their best, professionally and personally. We serve a diverse consumer base which is why we believe teams that reflect our consumers bring fresh perspectives, drive innovation, and help us stay attuned to the world around us. That&rsquo;s why we foster an inclusive culture where every person can feel respected, valued, and fully able to participate, and ultimately able to thrive. <div>Learn more</div>.</div><div></div><div>
[U.S.]Additional Information:</div><div>
At Clorox, we champion people to be well and thrive, starting with our own people. To help make this possible, we offer comprehensive, competitive benefits that prioritize all aspects of wellbeing and provide flexibility for our teammates&rsquo; unique needs. This includes robust health plans, a market-leading 401(k) program with a company match, flexible time off benefits (including half-day summer Fridays depending on location), inclusive fertility/adoption benefits, and more.</div><div></div><div>
We are committed to fair and equitable pay and are transparent with current and future teammates about our full salary ranges. We use broad salary ranges that reflect the competitive market for similar jobs, provide sufficient opportunity for growth as you gain experience and expand responsibilities, while also allowing for differentiation based on performance. Based on the breadth of our ranges, most new hires will start at Clorox in the first half of the applicable range. Your starting pay will depend on job-related factors, including relevant skills, knowledge, experience and location. The applicable salary range for every role in the U.S. is based on your work location and is aligned to one of three zones according to the cost of labor in your area.</div><div></div><div>
&ndash;Zone A: $72,400 - $132,500</div><div>
&ndash;Zone B: $66,400 - $121,500</div><div>
&ndash;Zone C: $60,300 - $110,400</div><div></div><div>
All ranges are subject to change in the future. Your recruiter can share more about the specific salary range for your location during the hiring process.</div><div></div><div>
This job is also eligible for participation in Clorox&rsquo;s incentive plans, subject to the terms of the applicable plan documents and policies.</div><div></div><div>
Please apply directly to our job postings and do not submit your resume to any person via text message. Clorox does not conduct text-based interviews and encourages you to be cautious of anyone posing as a Clorox recruiter via unsolicited texts during these uncertain times.</div><div></div><div>
To all recruitment agencies: Clorox (and its brand families) does not accept agency resumes. Please do not forward resumes to Clorox employees, including any members of our leadership team. Clorox is not responsible for any fees related to unsolicited resumes.</div></div>

People Analytics Engineer

Netflix

<div><p>Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.
</p><p></p><p><b>We launched a new ad-supported tier </b><b>in November 2022 and are building an in-house world-class </b><b>ad tech ecosystem </b><b>to offer our members more choices in consuming their content. Our new tier allows us to attract new members at a lower price point while also creating a compelling path for advertisers to reach deeply engaged audiences.
</b></p><p></p><p><b>Our Team:
</b></p><p><b>The Core Ads Algorithms team is the engine behind the intelligence that powers ad personalization at Netflix. Our mission is to develop innovative, data-driven solutions that deliver highly relevant ad experiences to our members and drive impactful results for advertisers&mdash;all while maintaining the exceptional quality and personalization that define the Netflix experience.
</b></p><p></p><p><b>As a Senior Analytics Engineer, you&rsquo;ll design metrics, generate insights by scoping and executing deep dive analysis, and provide recommendations from a rigorous evaluation of product experiments. You&rsquo;ll work closely with partner teams to build workflows, provide recommendations and drive success on end-to-end analytics initiatives in this 0 -1 space. This is an exciting opportunity to be an early member of this new business area for Netflix!
</b></p><p></p><p><b>Responsibilities
</b></p><ul><li><p><b>Partner with Data Engineers to design and implement robust data models and pipelines that enable richer, faster, and more accurate analysis.
</b></p></li><li><p><b>Design, build, and maintain scalable, self-service analytics tools and data products to drive adoption across the business.
</b></p></li><li><p><b>Develop, define, and maintain key metrics and dashboards for executive and business-critical reporting.
</b></p></li><li><p><b>Analyze and interpret data to understand and improve the efficiency of the ads marketplace, providing recommendations to optimize ad delivery, performance, and revenue.
</b></p></li><li><p><b>Develop and maintain observability and monitoring solutions for machine learning models, ensuring model performance, reliability, and early detection of anomalies or drift.
</b></p></li><li><p><b>Enable A/B testing and experimentation by building robust data pipelines and providing accurate experiment tracking.
</b></p></li><li><p><b>Proactively identify gaps and opportunities for innovation in analytics engineering, and drive i </b><b>nitiatives to address them.
</b></p></li><li><p><b>Experiment with and evaluate new technologies, including Generative AI solutions, to improve analytics, reporting, and data accessibility.
</b></p></li><li><p><b>Translate complex data insights and technical concepts into clear, actionable recommendations for technical and non-technical stakeholders.
</b></p></li></ul><p></p><p><b>Qualifications
</b></p><ul><li><p><b>A degree in a quantitative field (e.g., mathematics, statistics, computer science, engineering, or similar), and 3+ years of experience in data engineering, data science, analytics engineering, or a similar data field.
</b></p></li><li><p><b>Proficiency in SQL and at least one programming language (Python preferred).
</b></p></li><li><p><b>Experience with modern data warehousing (e.g., Redshift, BigQuery, Snowflake).
</b></p></li><li><p><b>Familiarity with data modeling, ETL frameworks, and analytics tools.
</b></p></li><li><p><b>Strong communication skills and ability to translate business needs into technical requirements.
</b></p></li><li><p><b>Comfortable with ambiguity; able to thrive with minimal oversight and process
</b></p></li><li><p><b>Prior experience in ad tech, streaming, technology, or consumer-facing products is a plus.
</b></p></li></ul><p></p><p>Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $150,000 - $750,000.
</p><p></p><p>Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
</p><p></p><p>We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
</p><p></p><p>Job is open for no less than 7 days and will be removed when the position is filled.</p></div>

Analytics Engineer (L5) - Simulator (Pricing)

UNCOMN

<div><div><div>At <b>UN</b><b>COMN</b>, we don&rsquo;t just fix issues; we deliver secure solutions that power essential operations in both the public and private sectors. Our team tackles tough challenges&mdash;whether it&rsquo;s improving organizational systems, streamlining logistics, or making sense of complex data&mdash;all with one goal: helping our clients succeed so they can continue serving others.<br>
<br>
We&rsquo;ve built a culture rooted in our <b>Core Values</b>, where innovation thrives, work-life balance is respected, and career growth is always encouraged. We're also proud to be recognized as a &lsquo;<b>Top Workplace</b>,&rsquo; and that&rsquo;s not just us talking; it&rsquo;s our employees. Now, we&rsquo;re looking for another Uncommon Genius to join our dynamic team. If you love solving puzzles, building new things, fixing what&rsquo;s broken, or pushing the boundaries of creativity, we encourage you to explore the details of this position below!</div>
</div><div></div><div><b>UN</b><b>COMN </b>is seeking a <b>Data Steward (Analytics Engineer 2, Associate-Level)</b> to:</div>
<ul><li>Partner with clients to understand business needs, define requirements, and identify data-driven solutions.</li>
<li>Collaborate with cross-functional teams to translate business goals into actionable data solutions and deliverables.</li>
<li>Build and maintain data pipelines to extract, transform, and prepare data for analysis.</li>
<li>Implement and monitor data quality checks to identify and resolve common issues across datasets.</li>
<li>Contribute to the setup and maintenance of analytical data environments and supporting tools.</li>
<li>Develop and document ETL utilities for integrating multiple data sources.</li>
<li>Communicate technical concepts, insights, and progress clearly to both technical and non-technical stakeholders.</li>
</ul><div><i>This position description outlines the core duties for this role, but it is not all-inclusive. Responsibilities may shift based on contract requirements, mission needs, or organizational objectives.</i></div>
<div><br>
<b>Requirements</b></div>
<ul><li>5+ years of related experience.</li>
<li>Must be eligible to obtain a Secret clearance, granted by the U.S. Government, which requires U.S. citizenship. The government also uses 13 adjudicative guidelines to determine an individual's eligibility.</li>
<li>Bachelor&rsquo;s degree in Computer Science, Information Systems, Engineering, Business, or other related discipline required.</li>
<li>Excellent analytical, problem-solving, and communication skills.</li>
<li>Strong SQL skills with experience profiling data, analyzing results, and reporting on data quality metrics.</li>
<li>Understanding of data governance and management best practices.</li>
<li>Self-motivated with the ability to manage multiple priorities and meet deadlines independently.</li>
<li>Must be willing to obtain relevant certifications as required by future client or contract needs.</li>
</ul><div><b>Preferred Qualifications</b></div>
<ul><li>Active DoD Secret clearance granted by the U.S. Government.</li>
<li>Experience supporting U.S. Government contracts or analytics projects.</li>
<li>Familiarity with Business Intelligence tools, Palantir, and/or PySpark.</li>
<li>Strong foundation in data concepts, descriptive analytics, and visualization techniques.</li>
</ul><div><b>Why</b> <b>UN</b><b>COMN?</b></div>
<div><ul><li><b>Instant Flexible PTO: </b>Enjoy flexible paid time off starting your very first day with us!</li>
<li><b>Generous Holidays: </b>Benefit from 7 paid holidays and up to 3 floating holidays annually.</li>
<li><b>Immediate Health Coverage: </b>Get access to comprehensive health benefits from day one.</li>
<li><b>401K Safe Harbor Match: </b>Secure your future with our top-tier 401K matching program.</li>
<li><b>Growth Opportunities: </b>Advance your career with our training and education assistance programs.</li>
<li><b>Free Employee Assistance Program (EAP): </b>Access complimentary support services for you and your family.</li>
</ul><div><div><i>Note: Benefits apply to full-time employees only.</i></div>
<div><br>
<b>Don&rsquo;t meet every single requirement? We&rsquo;re dedicated to building an uncommon, inclusive, and authentic workplace, so if you&rsquo;re excited about this role but your experience doesn&rsquo;t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.</b><br>
<br>
<i>All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or national origin.</i></div></div></div></div>

Data Steward (Analytics Engineer 2, Associate)

Capgemini

<div><p>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
</p><div><div><div><h2 class="jobSectionHeader"><b>Job Description
</b></h2></div><div><p>Join Capgemini as an FBS Associate Analytics Engineer and be part of our dynamic team dedicated to delivering cutting-edge analytics solutions for our clients. Our Client is one of the largest insurers in the United States, providing a broad spectrum of insurance and financial services.
</p><p>As part of Analytics Engineering team we work with different business teams to help with Data Engineering, Architecture &amp; Solutioning. Helping build complex data products, data assets to support the organizations D&amp;A needs.
</p><ul><li>Using the strong Python, SQL, PySpark and cloud technical skills help solve the business challenges related to data &amp; data products
</li><li>Work with different business teams, IT to help business team get the required data to support their needs
</li><li>Become an SME on the different source systems, data products and help different business users with their data needs
</li>Support the existing data assets and products by refreshing the data<br>
<li>
</li></ul></div></div><p></p><div><div><p>Data Engineering
<br>
Data Quality &amp; Data Management
<br>
ETL -
<br>
Data Warehousing &amp; Data Lake
</p><p>Python &ndash;
</p><p>SQL - Snowflake
</p><p>PySpark
</p><p>AWS (Lambda, EMR, Step Function)<br>
</p></div></div></div><p></p><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p></div>

Data Analytics Engineer | 6 to 9 years | Hyderabad & Pune

Apple

<p>The people here at Apple don&rsquo;t just build products - they build the kind of wonder that&rsquo;s revolutionized entire industries. It&rsquo;s the diversity of those people and their ideas that encourages the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.
<br>
<br>
We are looking for passionate and dedicated professionals to join our Data Services&rsquo; Data Analytics and Engineering team. This team manages various state of the art open source technologies in Big Data Analytics and Gen-AI areas, including Hadoop ecosystem, AI/ML and Vector Databases as well as Enterprise MPP systems. The ideal candidate should have experience in architecting/deploying large-scale Analytics systems and services, ready to learn and explore new leading edge technologies.<br>
<br>
<b>Description</b><br>
Are you passionate about building highly scalable, distributed applications that efficiently handle large volumes of data? Do you thrive on mastering various Big Data and MPP technologies and selecting the best ones for each application? If you are excited by the challenge of working in a fast-paced environment where your technical skills are tested daily and you want your work to impact millions of Apple users, we want to hear from you.
<br>
In this role, you will join Apple's Data Services Data Analytics and Engineering team as a highly motivated, detail-oriented, and energetic individual with excellent communication skills.
<br>
Your responsibilities will include:<br>
Design, architect, engineer and mentor in Big Data and MPP technologies, platforms and applications.<br>
Lead the design, development and management of new solutions using the latest technologies and data platforms such as SingleStore, Vertica, Clickhouse, Doris across various environments, including physical &amp; virtual machines, containers, and cloud platforms.<br>
Develop scalable, robust systems that adapt to evolving business requirements.<br>
Measure, Compare, Optimise and Tune the System / Datastore performance<br>
Create proofs of concept for emerging technologies, performance benchmarking and architect scalable applications.<br>
Recommend and implement tools and processes to accelerate the development, deployment and maintenance of Analytics workloads.<br>
Collaborate with application owners, developers, and project managers, leveraging your expertise to provide guidance on architectural decisions and address complex technical challenges related to scaling and performance tuning.<br>
<br>
<b>Preferred Qualifications</b><br>
Experience with data visualisation tools such as Tableau, Looker and Apache Superset.<br>
Knowledge of open-source Vector databases such as Milvus, Weaviate, etc. is a plus.<br>
Proficient in Application development using any programming language, with a focus on designing and building tools and frameworks for managing and scaling Big Data technologies.<br>
<br>
<b>Minimum Qualifications</b><br>
Strong educational background in Computer Science or Software Engineering.<br>
8 to 12 years of professional experience managing complex, distributed and multi-tier Big Data / Analytics environments.<br>
Proven experience as a database SRE, specifically with MPP technologies such as SingleStore, ClickHouse, Vertica, Doris, etc<br>
In-depth knowledge of datastore performance tuning, query optimisation and troubleshooting along with DR setup / Backup and recovery procedures.<br>
Extensive experience working with public cloud platforms (AWS &amp; GCP) and Kubernetes container deployments.<br>
Expertise in automation, including the development of tools and scripts to monitor server-side components and improve operational efficiency.<br>
Familiarity with architectural and design considerations related to scalability, reusability, and flexibility.<br>
Demonstrate strong problem-solving and critical thinking skills, along with a solid ability to quickly evaluate and apply new technologies.<br>
A passion for solving challenging engineering problems and triaging complex operational issues in collaboration with various engineering and customer teams.&quot;,&quot;internalDetails&quot;:null,&quot;eeoContent&quot;:null</p>

Data Analytics / MPP Engineer

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Data Analytics Engineer | 6 to 9 years | Hyderabad & Pune

Data Analytics / MPP Engineer