15886 Spark Jobs - Page 24

The role is for a data engineer with growth and business acumen, in the permissionless growth team. Someone who can connect the pipelines of millions of users, but at the same time knit a story of the how and why. ResponsibilitiesOwning Data Pipeline from Web to Athena to Email, end-to-endYoull make the key decisions and see them through to successful user sign upUse Data Science to find real insights, which translates to user engagementPushing changes every week dayPersonalization at Scale: Leverage fan behavior data to tailor content and improve lifetime value. Who are you? 2+ years of professional data engineering experienceSomeone who spends time thinking about business insights as much as they do on engineeringIs a self-starter, and drives initiativesIs excited to pick up AI, and integrate it at various touch pointsYou have strong experience in data analysis, growth marketing, or audience development (media or newsletters Even better). Have an awareness about Athena, Glue, Jupyter, or intent to pick them upYoure comfortable working with tools like Google Analytics, SQL, email marketing platforms (Beehiiv is a plus), and data visualization tools. Collaborative and want to see the team succeed in its goalsProblem solving, proactive and solution oriented mindset, to spot opportunities and translate into real growthAbility to thrive in startups with a fast-paced environment and take ownership for working through ambiguityExcited to join a lean team in a big company that moves quickly

The role is for a data engineer with growth and business acumen, in the permissionless growth team. Someone who can connect the pipelines of millions of users, but at the same time knit a story of the how and why. Responsibilities Owning Data Pipeline from Web to Athena to Email, end-to-endYoull make the key decisions and see them through to successful user sign upUse Data Science to find real insights, which translates to user engagementPushing changes every week dayPersonalization at Scale: Leverage fan behavior data to tailor content and improve lifetime value. Who are you? 2+ years of professional data engineering experienceSomeone who spends time thinking about business insights as much as they do on engineeringIs a self-starter, and drives initiativesIs excited to pick up AI, and integrate it at various touch pointsYou have strong experience in data analysis, growth marketing, or audience development (media or newsletters Even better). Have an awareness about Athena, Glue, Jupyter, or intent to pick them upYoure comfortable working with tools like Google Analytics, SQL, email marketing platforms (Beehiiv is a plus), and data visualization tools. Collaborative and want to see the team succeed in its goalsProblem solving, proactive and solution oriented mindset, to spot opportunities and translate into real growthAbility to thrive in startups with a fast-paced environment and take ownership for working through ambiguityExcited to join a lean team in a big company that moves quickly

Role Overview: Were on the lookout for a Buzz Lead Social & Audience Growth who lives at the intersection of content, culture, and conversation. In this role, youll shape the voice of our brand across platformsespecially Facebook and Instagramby creating buzzworthy content, driving engagement, and turning attention into action. You wont just postyoull spark. Whether its a viral moment, a timely trend, or a high-impact campaign, youll lead the charge in making our brand part of everyday conversations. Youll also own key performance metrics like link clicks, CTR, and reach, working closely with editorial, design, and growth teams to scale our presence and deepen our connection with the audience. Reporting and Scope: This role reports to the Head of Content & Co-Founder (Jaskirat Arora) and will lead a broader team structure comprising 67 Sub-Group Heads and 1520 Content Associates. What Youll DoDevelop and execute high-impact social media strategies tailored to each platformincluding Facebook, Instagram, TikTok, Threads, Flipboard, Twitter/X, and YouTube Shortsto drive audience growth, engagement, and performancePlan and optimize paid campaigns (especially on Meta) with a performance-first mindsetfocused on metrics like link clicks, CTR, and conversionsAmplify editorial content across social platforms through timely, high-impact postswithout owning editorial planningLaunch real-time buzz campaigns that align with trending topics, pop culture moments, or live eventsworking like a live editorial desk on socialIdentify and implement new content formats (Reels, carousels, polls, memes) to keep the brand culturally in-tune and algorithm-friendlyContinuously experiment with creatives, copy, and targeting to drive performancetest fast, learn fasterMonitor social media sentiment, moderate comments, and respond quickly during crisis moments to protect and shape the brands voicePartner with niche influencers, creators, and fan communities to co-create content and drive organic engagementTrack and report performance across platforms using tools like Meta Ads Manager, CrowdTangle, Chartbeat, TweetDeck, and native analyticsfocused on clicks to conversionsExperience with tools like Buffer, Later, or Sprout Social is a plus. Partner with growth, product, SEO, and distribution teams to inform and support their KPIssuch as traffic, retention, and content discoverabilitywhile owning execution purely from a social amplification lensStay up to date on algorithm changes, emerging platforms, and competitor activity to ensure the brand remains ahead of the curve

Role Overview: Were on the lookout for a Buzz Lead Social & Audience Growth who lives at the intersection of content, culture, and conversation. In this role, youll shape the voice of our brand across platformsespecially Facebook and Instagramby creating buzzworthy content, driving engagement, and turning attention into action. You wont just postyoull spark. Whether its a viral moment, a timely trend, or a high-impact campaign, youll lead the charge in making our brand part of everyday conversations. Youll also own key performance metrics like link clicks, CTR, and reach, working closely with editorial, design, and growth teams to scale our presence and deepen our connection with the audience. Reporting and Scope: This role reports to the Head of Content & Co-Founder (Jaskirat Arora) and will lead a broader team structure comprising 67 Sub-Group Heads and 1520 Content Associates. What Youll DoDevelop and execute high-impact social media strategies tailored to each platformincluding Facebook, Instagram, TikTok, Threads, Flipboard, Twitter/X, and YouTube Shortsto drive audience growth, engagement, and performancePlan and optimize paid campaigns (especially on Meta) with a performance-first mindsetfocused on metrics like link clicks, CTR, and conversionsAmplify editorial content across social platforms through timely, high-impact postswithout owning editorial planningLaunch real-time buzz campaigns that align with trending topics, pop culture moments, or live eventsworking like a live editorial desk on socialIdentify and implement new content formats (Reels, carousels, polls, memes) to keep the brand culturally in-tune and algorithm-friendlyContinuously experiment with creatives, copy, and targeting to drive performancetest fast, learn fasterMonitor social media sentiment, moderate comments, and respond quickly during crisis moments to protect and shape the brands voicePartner with niche influencers, creators, and fan communities to co-create content and drive organic engagementTrack and report performance across platforms using tools like Meta Ads Manager, CrowdTangle, Chartbeat, TweetDeck, and native analyticsfocused on clicks to conversionsExperience with tools like Buffer, Later, or Sprout Social is a plus. Partner with growth, product, SEO, and distribution teams to inform and support their KPIssuch as traffic, retention, and content discoverabilitywhile owning execution purely from a social amplification lensStay up to date on algorithm changes, emerging platforms, and competitor activity to ensure the brand remains ahead of the curve

The role is for a data engineer with growth and business acumen, in the permissionless growth team. Someone who can connect the pipelines of millions of users, but at the same time knit a story of the how and why. Responsibilities Owning Data Pipeline from Web to Athena to Email, end-to-endYoull make the key decisions and see them through to successful user sign upUse Data Science to find real insights, which translates to user engagementPushing changes every week dayPersonalization at Scale: Leverage fan behavior data to tailor content and improve lifetime value. Who are you? 2+ years of professional data engineering experienceSomeone who spends time thinking about business insights as much as they do on engineeringIs a self-starter, and drives initiativesIs excited to pick up AI, and integrate it at various touch pointsYou have strong experience in data analysis, growth marketing, or audience development (media or newsletters? Even better). Have an awareness about Athena, Glue, Jupyter, or intent to pick them upYoure comfortable working with tools like Google Analytics, SQL, email marketing platforms (Beehiiv is a plus), and data visualization tools. Collaborative and want to see the team succeed in its goalsProblem solving, proactive and solution oriented mindset, to spot opportunities and translate into real growthAbility to thrive in startups with a fast-paced environment and take ownership for working through ambiguityExcited to join a lean team in a big company that moves quickly

What Youll Do Develop and execute high-impact social media strategies tailored to each platformincluding Facebook, Instagram, TikTok, Threads, Flipboard, Twitter/X, and YouTube Shortsto drive audience growth, engagement, and performancePlan and optimize paid campaigns (especially on Meta) with a performance-first mindsetfocused on metrics like link clicks, CTR, and conversionsAmplify editorial content across social platforms through timely, high-impact postswithout owning editorial planningLaunch real-time buzz campaigns that align with trending topics, pop culture moments, or live eventsworking like a live editorial desk on socialIdentify and implement new content formats (Reels, carousels, polls, memes) to keep the brand culturally in-tune and algorithm-friendlyContinuously experiment with creatives, copy, and targeting to drive performancetest fast, learn faster Monitor social media sentiment, moderate comments, and respond quickly during crisis moments to protect and shape the brands voicePartner with niche influencers, creators, and fan communities to co-create content and drive organic engagementTrack and report performance across platforms using tools like Meta Ads Manager, CrowdTangle, Chartbeat, TweetDeck, and native analyticsfocused on clicks to conversionsExperience with tools like Buffer, Later, or Sprout Social is a plus. Partner with growth, product, SEO, and distribution teams to inform and support their KPIssuch as traffic, retention, and content discoverabilitywhile owning execution purely from a social amplification lensStay up to date on algorithm changes, emerging platforms, and competitor activity to ensure the brand remains ahead of the curve

Role Overview: Were on the lookout for a Buzz Lead Social & Audience Growth who lives at the intersection of content, culture, and conversation. In this role, youll shape the voice of our brand across platformsespecially Facebook and Instagramby creating buzzworthy content, driving engagement, and turning attention into action. You wont just postyoull spark. Whether its a viral moment, a timely trend, or a high-impact campaign, youll lead the charge in making our brand part of everyday conversations. Youll also own key performance metrics like link clicks, CTR, and reach, working closely with editorial, design, and growth teams to scale our presence and deepen our connection with the audience. Reporting and Scope: This role reports to the Head of Content & Co-Founder (Jaskirat Arora) and will lead a broader team structure comprising 67 Sub-Group Heads and 1520 Content Associates. What Youll Do Develop and execute high-impact social media strategies tailored to each platformincluding Facebook, Instagram, TikTok, Threads, Flipboard, Twitter/X, and YouTube Shortsto drive audience growth, engagement, and performancePlan and optimize paid campaigns (especially on Meta) with a performance-first mindsetfocused on metrics like link clicks, CTR, and conversionsAmplify editorial content across social platforms through timely, high-impact postswithout owning editorial planningLaunch real-time buzz campaigns that align with trending topics, pop culture moments, or live eventsworking like a live editorial desk on socialIdentify and implement new content formats (Reels, carousels, polls, memes) to keep the brand culturally in-tune and algorithm-friendlyContinuously experiment with creatives, copy, and targeting to drive performancetest fast, learn fasterMonitor social media sentiment, moderate comments, and respond quickly during crisis moments to protect and shape the brands voicePartner with niche influencers, creators, and fan communities to co-create content and drive organic engagementTrack and report performance across platforms using tools like Meta Ads Manager, CrowdTangle, Chartbeat, TweetDeck, and native analyticsfocused on clicks to conversionsExperience with tools like Buffer, Later, or Sprout Social is a plus. Partner with growth, product, SEO, and distribution teams to inform and support their KPIssuch as traffic, retention, and content discoverabilitywhile owning execution purely from a social amplification lensStay up to date on algorithm changes, emerging platforms, and competitor activity to ensure the brand remains ahead of the curve

Full Time Role at EssentiallySports for Data Growth EngineerEssentiallySports is the home for the underserved fan, delivering storytelling that goes beyond the headlines. As a media platform, we combine deep audience insights with cultural trends, to meet fandom where it lives and where it goes next. ValuesFocus on the user and all else will followHire for Intent and not for ExperienceBootstrapping gives you the freedom to serve the customer and the team instead of investorInternet and Technology untap the nichesAction oriented, integrity, freedom, strong communicators, and responsibilityAll things equal, one with high agency winsEssentiallySports is a top 10 sports media platform in the U. S. , generating over a billion pageviews a year and 30m+ monthly active users per month. This massive traffic fuels our data-driven culture, allowing us to build owned audiences at scale through organic growtha model we take pride in, with zero CAC. The next phase of ES growth is around newsletter initiative, in less than 9 months, weve built a robust newsletter brand with 700,000+ highly engaged readers and impressive performance metrics:5 newsletter brands700k+ subscribersOpen rates of 40%-46%. The role is for a data engineer with growth and business acumen, in the permissionless growth team. Someone who can connect the pipelines of millions of users, but at the same time knit a story of the how and why. ResponsibilitiesOwning Data Pipeline from Web to Athena to Email, end-to-endYoull make the key decisions and see them through to successful user sign upUse Data Science to find real insights, which translates to user engagementPushing changes every week dayPersonalization at Scale: Leverage fan behavior data to tailor content and improve lifetime value. Who are you?2+ years of professional data engineering experienceSomeone who spends time thinking about business insights as much as they do on engineeringIs a self-starter, and drives initiativesIs excited to pick up AI, and integrate it at various touch pointsYou have strong experience in data analysis, growth marketing, or audience development (media or newsletters? Even better). Have an awareness about Athena, Glue, Jupyter, or intent to pick them upYoure comfortable working with tools like Google Analytics, SQL, email marketing platforms (Beehiiv is a plus), and data visualization tools. Collaborative and want to see the team succeed in its goalsProblem solving, proactive and solution oriented mindset, to spot opportunities and translate into real growthAbility to thrive in startups with a fast-paced environment and take ownership for working through ambiguityExcited to join a lean team in a big company that moves quickly

Role Overview: Were on the lookout for a Buzz Lead Social & Audience Growth who lives at the intersection of content, culture, and conversation. In this role, youll shape the voice of our brand across platformsespecially Facebook and Instagramby creating buzzworthy content, driving engagement, and turning attention into action. You wont just postyoull spark. Whether its a viral moment, a timely trend, or a high-impact campaign, youll lead the charge in making our brand part of everyday conversations. Youll also own key performance metrics like link clicks, CTR, and reach, working closely with editorial, design, and growth teams to scale our presence and deepen our connection with the audience. Reporting and Scope: This role reports to the Head of Content & Co-Founder (Jaskirat Arora) and will lead a broader team structure comprising 67 Sub-Group Heads and 1520 Content Associates. What Youll DoDevelop and execute high-impact social media strategies tailored to each platformincluding Facebook, Instagram, TikTok, Threads, Flipboard, Twitter/X, and YouTube Shortsto drive audience growth, engagement, and performancePlan and optimize paid campaigns (especially on Meta) with a performance-first mindsetfocused on metrics like link clicks, CTR, and conversionsAmplify editorial content across social platforms through timely, high-impact postswithout owning editorial planningLaunch real-time buzz campaigns that align with trending topics, pop culture moments, or live eventsworking like a live editorial desk on socialIdentify and implement new content formats (Reels, carousels, polls, memes) to keep the brand culturally in-tune and algorithm-friendlyContinuously experiment with creatives, copy, and targeting to drive performancetest fast, learn fasterMonitor social media sentiment, moderate comments, and respond quickly during crisis moments to protect and shape the brands voicePartner with niche influencers, creators, and fan communities to co-create content and drive organic engagementTrack and report performance across platforms using tools like Meta Ads Manager, CrowdTangle, Chartbeat, TweetDeck, and native analyticsfocused on clicks to conversionsExperience with tools like Buffer, Later, or Sprout Social is a plus. Partner with growth, product, SEO, and distribution teams to inform and support their KPIssuch as traffic, retention, and content discoverabilitywhile owning execution purely from a social amplification lensStay up to date on algorithm changes, emerging platforms, and competitor activity to ensure the brand remains ahead of the curve

Job Overview Branch launched in India in early 2019 and has seen rapid adoption and growth. We are expanding our product portfolio as well as our user base in all our markets including India. We are looking for talented Machine Learning Engineers to join us and be part of this journey. You will work closely with other Engineers, Product Managers, and underwriters to develop, improve, and deploy machine learning models and to solve other optimization problems. We make extensive use of machine learning in our credit product, where it is used (among other things) for underwriting and loan servicing decisions. We are also actively exploring other applications of Machine Learning in some of our newer products, with the ultimate goal of improving the user experience.Machine Learning sits at the intersection of a number of different disciplines: Computer Science, Statistics, Operations Research, Data Science, and others. At Branch, we fundamentally believe that in order for Machine Learning to be impactful, it needs to be closely embedded into the rest of the product development and software engineering process, which is why we emphasize the importance of software engineering skills and experience for this role.As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As an engineering team, we value bottom-up innovation and decentralized decision-making. We believe the best ideas can come from anyone in the company, and we are working hard to create an environment where everyone feels empowered to propose solutions to the challenges we face. We are looking for individuals who thrive in a fast-moving, innovative, and customer-focused setting.ResponsibilitiesCredit Decisions: Core to our business is understanding and building signals from unstructured and structured data to identify good borrowers.Customer Service: Using machine learning and LLM/NLP, automate customer service interactions and provide context to our customer service team.Fraud Prevention: Identify patterns of fraudulent behavior and build models to detect and prevent these behaviors.Team work: Bring your experience to bear on the technical direction and abilities of the team, and work cross-functionally with policy and product teams as we improve processes and break new ground.Qualifications2+ years of hands-on experience building software in a production environment. Startup or early-stage team experience is preferred.Excellent software engineering and programming skills, especially Python and SQL.A diverse range of data skills, including experimentation, statistics, and machine learning, and have used these skills to inform business decisions.A deep understanding of using cloud computing infrastructure and data pipelines in production.Self motivation: You teach yourself new skills. You take the initiative to solve problems before they arise. You roll up your sleeves and get stuff done.Team motivation: You listen to others, speak your mind, and ask the right questions. You are a great collaborator and teacher.The drive to make a positive impact on customers' lives.

Job OverviewBranch launched in India in early 2019 and has seen rapid adoption and growth. We are expanding our product portfolio as well as our user base in all our markets including India. We are looking for talented Machine Learning Engineers to join us and be part of this journey. You will work closely with other Engineers, Product Managers, and underwriters to develop, improve, and deploy machine learning models and to solve other optimization problems. We make extensive use of machine learning in our credit product, where it is used (among other things) for underwriting and loan servicing decisions. We are also actively exploring other applications of Machine Learning in some of our newer products, with the ultimate goal of improving the user experience.Machine Learning sits at the intersection of a number of different disciplines: Computer Science, Statistics, Operations Research, Data Science, and others. At Branch, we fundamentally believe that in order for Machine Learning to be impactful, it needs to be closely embedded into the rest of the product development and software engineering process, which is why we emphasize the importance of software engineering skills and experience for this role.As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As an engineering team, we value bottom-up innovation and decentralized decision-making. We believe the best ideas can come from anyone in the company, and we are working hard to create an environment where everyone feels empowered to propose solutions to the challenges we face. We are looking for individuals who thrive in a fast-moving, innovative, and customer-focused setting. Responsibilities Credit Decisions: Core to our business is understanding and building signals from unstructured and structured data to identify good borrowers.Customer Service: Using machine learning and LLM/NLP, automate customer service interactions and provide context to our customer service team.Fraud Prevention: Identify patterns of fraudulent behavior and build models to detect and prevent these behaviors.Team work: Bring your experience to bear on the technical direction and abilities of the team, and work cross-functionally with policy and product teams as we improve processes and break new ground.Qualifications 2+ years of hands-on experience building software in a production environment. Startup or early-stage team experience is preferred.Excellent software engineering and programming skills, especially Python and SQL.A diverse range of data skills, including experimentation, statistics, and machine learning, and have used these skills to inform business decisions.A deep understanding of using cloud computing infrastructure and data pipelines in production.Self motivation: You teach yourself new skills. You take the initiative to solve problems before they arise. You roll up your sleeves and get stuff done.Team motivation: You listen to others, speak your mind, and ask the right questions. You are a great collaborator and teacher.The drive to make a positive impact on customers' lives.

Role Overview: Were on the lookout for a Buzz Lead Social & Audience Growth who lives at the intersection of content, culture, and conversation. In this role, youll shape the voice of our brand across platformsespecially Facebook and Instagramby creating buzzworthy content, driving engagement, and turning attention into action. You wont just postyoull spark. Whether its a viral moment, a timely trend, or a high-impact campaign, youll lead the charge in making our brand part of everyday conversations. Youll also own key performance metrics like link clicks, CTR, and reach, working closely with editorial, design, and growth teams to scale our presence and deepen our connection with the audience. Reporting and Scope: This role reports to the Head of Content & Co-Founder (Jaskirat Arora) and will lead a broader team structure comprising 67 Sub-Group Heads and 1520 Content Associates. What Youll Do Develop and execute high-impact social media strategies tailored to each platformincluding Facebook, Instagram, TikTok, Threads, Flipboard, Twitter/X, and YouTube Shortsto drive audience growth, engagement, and performance Plan and optimize paid campaigns (especially on Meta) with a performance-first mindsetfocused on metrics like link clicks, CTR, and conversionsAmplify editorial content across social platforms through timely, high-impact postswithout owning editorial planning Launch real-time buzz campaigns that align with trending topics, pop culture moments, or live eventsworking like a live editorial desk on socialIdentify and implement new content formats (Reels, carousels, polls, memes) to keep the brand culturally in-tune and algorithm-friendly Continuously experiment with creatives, copy, and targeting to drive performancetest fast, learn fasterMonitor social media sentiment, moderate comments, and respond quickly during crisis moments to protect and shape the brands voicePartner with niche influencers, creators, and fan communities to co-create content and drive organic engagement Track and report performance across platforms using tools like Meta Ads Manager, CrowdTangle, Chartbeat, TweetDeck, and native analyticsfocused on clicks to conversions Experience with tools like Buffer, Later, or Sprout Social is a plus. Partner with growth, product, SEO, and distribution teams to inform and support their KPIssuch as traffic, retention, and content discoverability while owning execution purely from a social amplification lens Stay up to date on algorithm changes, emerging platforms, and competitor activity to ensure the brand remains ahead of the curve

Role Overview: EssentiallySports is seeking a Growth Product Manager who can scale our web platform's reach, engagement, and impact. This is not a traditional marketing roleyour job is to engineer growth through product innovation, user journey optimization, and experimentation. Youll be the bridge between editorial, tech, and analyticsturning insights into actions that drive sustainable audience and revenue growth. Key Responsibilities Own the entire web user journey from page discovery to conversion to retention. Identify product-led growth opportunities using scroll depth, CTRs, bounce rates, and cohort behavior. Optimize high-traffic areas of the sitelanding pages, article CTAs, newsletter modulesfor conversion and time-on-page. Set up and scale A/B testing and experimentation pipelines for UI/UX, headlines, engagement surfaces, and signup flows. Collaborate with SEO and Performance Marketing teams to translate high-ranking traffic into engaged, loyal users. Partner with content and tech teams to develop recommendation engines, personalization strategies, and feedback loops. Monitor analytics pipelines from GA4 ? Athena ? dashboards to derive insights and drive decision-making. Introduce AI-driven features (LLM prompts, content auto-summaries, etc. ) that personalize or simplify the user experience. Use tools like Jupyter, Google Analytics, Glue, and others to synthesize data into growth opportunities. Who you are 4+ years of experience in product growth, web engagement, or analytics-heavy roles. Deep understanding of web traffic behavior, engagement funnels, bounce/exit analysis, and retention loops. Hands-on experience running product experiments, growth sprints, and interpreting funnel analytics. Strong proficiency in SQL, GA4, marketing analytics, and campaign management Understand customer segmentation, LTV analysis, cohort behavior, and user funnel optimization Thrive in ambiguity and love building things from scratch Passionate about AI, automation, and building sustainable growth enginesThinks like a founder: drives initiatives independently, hunts for insights, moves fast A team player who collaborates across engineering, growth, and editorial teams. Proactive and solution-oriented, always spotting opportunities for real growth. Thrive in a fast-moving environment, taking ownership and driving impact.

Role Overview: Were on the lookout for a Buzz Lead Social & Audience Growth who lives at the intersection of content, culture, and conversation. In this role, youll shape the voice of our brand across platform sespecially Facebook and Instagramby creating buzzworthy content, driving engagement, and turning attention into action. You wont just postyoull spark. Whether its a viral moment, a timely trend, or a high-impact campaign, youll lead the charge in making our brand part of everyday conversations. Youll also own key performance metrics like link clicks, CTR, and reach, working closely with editorial, design, and growth teams to scale our presence and deepen our connection with the audience. Reporting and Scope: This role reports to the Head of Content & Co-Founder (Jaskirat Arora) and will lead a broader team structure comprising 67 Sub-Group Heads and 1520 Content Associates. What Youll Do Develop and execute high-impact social media strategies tailored to each platformincluding Facebook, Instagram, TikTok, Threads, Flipboard, Twitter/X, and YouTube Shortsto drive audience growth, engagement, and performance Plan and optimize paid campaigns (especially on Meta) with a performance-first mindsetfocused on metrics like link clicks, CTR, and conversions Amplify editorial content across social platforms through timely, high-impact postswithout owning editorial planningLaunch real-time buzz campaigns that align with trending topics, pop culture moments, or live eventsworking like a live editorial desk on socialIdentify and implement new content formats (Reels, carousels, polls, memes) to keep the brand culturally in-tune and algorithm-friendly Continuously experiment with creatives, copy, and targeting to drive performancetest fast, learn faster Monitor social media sentiment, moderate comments, and respond quickly during crisis moments to protect and shape the brands voicePartner with niche influencers, creators, and fan communities to co-create content and drive organic engagement Track and report performance across platforms using tools like Meta Ads Manager, CrowdTangle, Chartbeat, TweetDeck, and native analyticsfocused on clicks to conversionsExperience with tools like Buffer, Later, or Sprout Social is a plus. Partner with growth, product, SEO, and distribution teams to inform and support their KPIssuch as traffic, retention, and content discoverabilitywhile owning execution purely from a social amplification lens Stay up to date on algorithm changes, emerging platforms, and competitor activity to ensure the brand remains ahead of the curve

We are looking for talented Machine Learning Engineers to join us and be part of this journey. You will work closely with other Engineers, Product Managers, and underwriters to develop, improve, and deploy machine learning models and to solve other optimization problems. We make extensive use of machine learning in our credit product, where it is used (among other things) for underwriting and loan servicing decisions. We are also actively exploring other applications of Machine Learning in some of our newer products, with the ultimate goal of improving the user experience.Machine Learning sits at the intersection of a number of different disciplines: Computer Science, Statistics, Operations Research, Data Science, and others. At Branch, we fundamentally believe that in order for Machine Learning to be impactful, it needs to be closely embedded into the rest of the product development and software engineering process, which is why we emphasize the importance of software engineering skills and experience for this role.As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As an engineering team, we value bottom-up innovation and decentralized decision-making. We believe the best ideas can come from anyone in the company, and we are working hard to create an environment where everyone feels empowered to propose solutions to the challenges we face. We are looking for individuals who thrive in a fast-moving, innovative, and customer-focused setting.ResponsibilitiesCredit Decisions: Core to our business is understanding and building signals from unstructured and structured data to identify good borrowers.Customer Service: Using machine learning and LLM/NLP, automate customer service interactions and provide context to our customer service team.Fraud Prevention: Identify patterns of fraudulent behavior and build models to detect and prevent these behaviors.Team work: Bring your experience to bear on the technical direction and abilities of the team, and work cross-functionally with policy and product teams as we improve processes and break new ground. Qualifications 2+ years of hands-on experience building software in a production environment. Startup or early-stage team experience is preferred.Excellent software engineering and programming skills, especially Python and SQL.A diverse range of data skills, including experimentation, statistics, and machine learning, and have used these skills to inform business decisions. A deep understanding of using cloud computing infrastructure and data pipelines in production.Self motivation: You teach yourself new skills. You take the initiative to solve problems before they arise. You roll up your sleeves and get stuff done.Team motivation: You listen to others, speak your mind, and ask the right questions. You are a great collaborator and teacher.The drive to make a positive impact on customers' lives.

Job Overview We are looking for talented Machine Learning Engineers to join us and be part of this journey. You will work closely with other Engineers, Product Managers, and underwriters to develop, improve, and deploy machine learning models and to solve other optimization problems. We make extensive use of machine learning in our credit product, where it is used (among other things) for underwriting and loan servicing decisions. We are also actively exploring other applications of Machine Learning in some of our newer products, with the ultimate goal of improving the user experience.Machine Learning sits at the intersection of a number of different disciplines: Computer Science, Statistics, Operations Research, Data Science, and others. At Branch, we fundamentally believe that in order for Machine Learning to be impactful, it needs to be closely embedded into the rest of the product development and software engineering process, which is why we emphasize the importance of software engineering skills and experience for this role.As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As an engineering team, we value bottom-up innovation and decentralized decision-making. We believe the best ideas can come from anyone in the company, and we are working hard to create an environment where everyone feels empowered to propose solutions to the challenges we face. We are looking for individuals who thrive in a fast-moving, innovative, and customer-focused setting. Responsibilities Credit Decisions: Core to our business is understanding and building signals from unstructured and structured data to identify good borrowers.Customer Service: Using machine learning and LLM/NLP, automate customer service interactions and provide context to our customer service team.Fraud Prevention: Identify patterns of fraudulent behavior and build models to detect and prevent these behaviors.Team work: Bring your experience to bear on the technical direction and abilities of the team, and work cross-functionally with policy and product teams as we improve processes and break new ground. Qualifications 2+ years of hands-on experience building software in a production environment. Startup or early-stage team experience is preferred.Excellent software engineering and programming skills, especially Python and SQL.A diverse range of data skills, including experimentation, statistics, and machine learning, and have used these skills to inform business decisions.A deep understanding of using cloud computing infrastructure and data pipelines in production. Self motivation: You teach yourself new skills. You take the initiative to solve problems before they arise. You roll up your sleeves and get stuff done.Team motivation: You listen to others, speak your mind, and ask the right questions. You are a great collaborator and teacher.The drive to make a positive impact on customers' lives.

Smart infrastructure from Siemens makes the world a more connected and caring place – where resources are valued, where impact on the world is considered, where sustainable energy is delivered reliably and efficiently. It provides the flexible infrastructure to allow society to evolve and respond to changing conditions. Technology and the ingenuity of people come together to be at one with our environments and to care for our world. We do this from the macro to the micro level, from physical products, components and systems to connected, cloud-based digital offerings and services. Siemens offers a broad portfolio of grid control and automation; low- and medium-voltage power distribution, switching and control; and building automation, fire safety and security, HVAC control and energy solutions. About the Role: We are seeking an experienced Inside Sales Manager to join our Digital & Software Solutions team within Building Technologies. Reporting to the Head of Digital & Software, this role will focus on generating qualified meetings for our sales team to drive the adoption of our digital and sustainable SaaS products. Your Responsibilities: Meeting Generation & Pipeline Development: Meet or exceed monthly and quarterly targets for qualified meeting generation Identify and engage potential clients through proactive outreach and follow-up Qualify prospects based on established criteria to ensure high-quality meetings for the field sales team Sales Support & Coordination: Manage the CRM system to track all prospect interactions and maintain accurate pipeline data Prepare and deliver compelling initial product demonstrations to spark interest Coordinate with field sales teams to ensure smooth handover of qualified opportunities Market Intelligence: Research target accounts and decision-makers to develop personalized outreach strategies Stay current on industry trends, competitor offerings, and market developments Provide feedback to product and marketing teams on prospect requirements and pain points Performance Reporting: Create and maintain regular reports on pipeline metrics, conversion rates, and activity levels Participate in regular pipeline reviews and forecast discussions Identify and implement process improvements to increase efficiency and effectiveness What You Need to Bring: Must Have: 5-8 years of experience in inside sales with at least 3 years specifically in software sales Proven track record of consistently meeting or exceeding meeting generation targets Proficiency with CRM systems and pipeline management tools Excellent communication skills with ability to articulate technical value propositions Experience in conducting product demonstrations and initial technical discussions Bachelor's degree in Business, Marketing, or related field Nice to Have: Experience in PropTech, Building Management Systems, or Industrial IoT domains Understanding of SaaS business models and enterprise software sales cycles Knowledge of building technologies and sustainability solutions Experience with virtual demonstration tools and remote selling techniques. Smart infrastructure from Siemens makes the world a more connected and caring place – where resources are valued, where impact on the world is considered, where sustainable energy is delivered reliably and efficiently. It provides the flexible infrastructure to allow society to evolve and respond to changing conditions. Technology and the ingenuity of people come together to be at one with our environments and to care for our world. We do this from the macro to the micro level, from physical products, components and systems to connected, cloud-based digital offerings and services. Siemens offers a broad portfolio of grid control and automation; low- and medium-voltage power distribution, switching and control; and building automation, fire safety and security, HVAC control and energy solutions. About the Role: We are seeking an experienced Inside Sales Manager to join our Digital & Software Solutions team within Building Technologies. Reporting to the Head of Digital & Software, this role will focus on generating qualified meetings for our sales team to drive the adoption of our digital and sustainable SaaS products. Your Responsibilities: Meeting Generation & Pipeline Development: Meet or exceed monthly and quarterly targets for qualified meeting generation Identify and engage potential clients through proactive outreach and follow-up Qualify prospects based on established criteria to ensure high-quality meetings for the field sales team Sales Support & Coordination: Manage the CRM system to track all prospect interactions and maintain accurate pipeline data Prepare and deliver compelling initial product demonstrations to spark interest Coordinate with field sales teams to ensure smooth handover of qualified opportunities Market Intelligence: Research target accounts and decision-makers to develop personalized outreach strategies Stay current on industry trends, competitor offerings, and market developments Provide feedback to product and marketing teams on prospect requirements and pain points Performance Reporting: Create and maintain regular reports on pipeline metrics, conversion rates, and activity levels Participate in regular pipeline reviews and forecast discussions Identify and implement process improvements to increase efficiency and effectiveness What You Need to Bring: Must Have: 5-8 years of experience in inside sales with at least 3 years specifically in software sales Proven track record of consistently meeting or exceeding meeting generation targets Proficiency with CRM systems and pipeline management tools Excellent communication skills with ability to articulate technical value propositions Experience in conducting product demonstrations and initial technical discussions Bachelor's degree in Business, Marketing, or related field Nice to Have: Experience in PropTech, Building Management Systems, or Industrial IoT domains Understanding of SaaS business models and enterprise software sales cycles Knowledge of building technologies and sustainability solutions Experience with virtual demonstration tools and remote selling techniques. About Us We’re Siemens. A collection of over 372,000 minds building the future, one day at a time. We're dedicated to quality and equality, and we welcome applications that reflect the diversity of the communities we work in. Bring your curiosity and imagination and help us shape tomorrow. Want to join us and be a Future Maker? We are looking forward to receiving your online application. Please ensure you complete all areas of the application form, to the best of your ability to help us review your suitability for the role.

Job Title ML Engineer – Predictive Maintenance Job Description ML Engineer at DSP – Predictive Maintenance Hay Level Hay 60 Job Location Veghel Vanderlande provides baggage handling systems for 600 airports globally, moving over 4 billion pieces of baggage annually. For the parcel market, our systems handle 52 million parcels daily. All these systems generate massive amounts of data. Do you see the challenge in building models and solutions that enable data-driven services, including predictive insights using machine learning? Would you like to contribute to Vanderlande's fast-growing Technology Department and its journey to become more data-driven? If so, join our Digital Service Platform team! Your Position You will work as a Data Engineer with Machine Learning expertise in the Predictive Maintenance team. This hybrid and multi-cultural team includes Data Scientists, Machine Learning Engineers, Data Engineers, a DevOps Engineer, a QA Engineer, an Architect, a UX Designer, a Scrum Master, and a Product Owner. The Digital Service Platform focuses on optimizing customer asset usage and maintenance, impacting performance, cost, and sustainability KPIs by extending component lifetimes. In your role, you will Participate in solution design discussions led by our Product Architect, where your input as a Data Engineer with ML expertise is highly valued. Collaborate with IT and business SMEs to ensure delivery of high-quality end-to-end data and machine learning pipelines. Your Responsibilities Data Engineering Develop, test, and document data (collection and processing) pipelines for Predictive Maintenance solutions, including data from (IoT) sensors and control components to our data platform. Build scalable pipelines to transform, aggregate, and make data available for machine learning models. Align implementation efforts with other back-end developers across multiple development teams. Machine Learning Integration Collaborate with Data Scientists to integrate machine learning models into production pipelines, ensuring smooth deployment and scalability. Develop and optimize end-to-end machine learning pipelines (MLOps) from data preparation to model deployment and monitoring. Work on model inference pipelines, ensuring efficient real-time predictions from deployed models. Implement automated retraining workflows and ensure version control for datasets and models. Continuous Improvement Contribute to the design and build of a CI/CD pipeline, including integration test automation for data and ML pipelines. Continuously improve and standardize data and ML services for customer sites to reduce project delivery time. Actively monitor model performance and ensure timely updates or retraining as needed. Your Profile Minimum 4 years' experience building complex data pipelines and integrating machine learning solutions. Bachelor's or Master's degree in Computer Science, IT, Data Science, or equivalent. Hands-on experience with data modeling and machine learning workflows. Strong programming skills in Java, Scala, and Python (preferred for ML tasks). Experience with stream processing frameworks (e.g., Spark) and streaming storage (e.g., Kafka). Proven experience with MLOps practices, including data preprocessing, model deployment, and monitoring. Familiarity with ML frameworks and tools (e.g., TensorFlow, PyTorch, MLflow). Proficient in cloud platforms (preferably Azure and Databricks). Experience with data quality management, monitoring, and ensuring robust pipelines. Knowledge of Predictive Maintenance model development is a strong plus. What You’ll Gain Opportunity to work at the forefront of data-driven innovation in a global organization. Collaborate with a talented and diverse team to design and implement cutting-edge solutions. Expand your expertise in data engineering and machine learning in a real-world industrial setting. If you are passionate about leveraging data and machine learning to drive innovation, we’d love to hear from you!

Job Title Data Engineer Job Description Data Engineer at Operational Awareness Warehouse team within Digital Service Platform (DSP) Job Location Pune Vanderlande provides baggage handling systems for 600 airports around the globe, capable of moving over 4 billion pieces of baggage around the world per year. For the parcel market our systems handle 52 million parcels per day. All these systems generate data. Do you see a challenge in building data-driven services for our customers using that data? Do you want to contribute to the fast-growing Vanderlande Technology Department on its journey to become more data driven? If so, then join our Digital Service Platform stream! Your Position As a data engineer, you will be responsible for delivering data intelligence solutions to our customers all around the globe, based on an innovative product, which provides insights into the performance of their material handling systems. You will be working on implementing and deploying the product as well as designing solutions to fit it to our customer needs. You will work together with an energetic and multidisciplinary team to build end-to-end data ingestion pipelines and implement and deploy dashboards. Your Tasks And Responsibilities You will design and implement data & dashboarding solutions to maximize customer value. You will deploy and automate the data pipelines and dashboards to enable further project implementation. You embrace working in an international, diverse team, with an open and respectful atmosphere. You leverage data by making it available for other teams within our department as well to enable our platform vision. Communicate and work closely with other groups within Vanderlande and the project team. You enjoy an independent and self-reliant way of working with a proactive style of communication to take ownership to provide the best possible solution. You will be part of an agile team that encourages you to speak up freely about improvements, concerns, and blockages. As part of Scrum methodology, you will independently create stories and participate in the refinement process. You collect feedback and always search for opportunities to improve the existing standardized product. Execute projects from conception through client handover with a positive contribution on technical performance and the organization. You will take the lead in communication with different stakeholders that are involved in the projects that are being deployed. Your profile Bachelor's or master's degree in computer science, IT, or equivalent and a minimum of 6+ years of experience building and deploying complex data pipelines and data solutions. Experience developing end to end data pipelines using technologies like Databricks. Experience with visualization software, preferably Splunk (or else PowerBI, Tableau, or similar). Strong experience with SQL & Python, with hands-on experience in data modeling. Hands-on experience with programming in Python or Java, and proficiency in Test-Driven Development using pytest. Experience with Pyspark or Spark SQL to deal with distributed data. Experience with data schemas (e.g. JSON/XML/Avro). Experience in deploying services as containers (e.g. Docker, Podman). Experience in working with cloud services (preferably with Azure). Experience with streaming and/or batch storage (e.g. Kafka, Oracle) is a plus. Experience in creating APIs is a plus. Experience in guiding, motivating and training engineers. Experience in data quality management and monitoring is a plus. Strong communication skills in English. Skilled at breaking down large problems into smaller, manageable parts.

Transport is at the core of modern society Imagine using your expertise to shape sustainable transport and infrastructure solutions for the futureIf you seek to make a difference on a global scale, working with next-gen technologies and the sharpest collaborative teams, then we could be a perfect match Job Description Volvo Group is looking for Azure Data Engineers! Are you interested in being involved in the biggest, data driven transformation of transport solutions in historyWe are in the middle of our digitalization journey, and you are welcome to join and help us drive analytics and artificial intelligence initiatives which enable new business models We are looking for Data Engineers 5+ years of relevant experience with possible DevOps skills to develop and optimize data pipelines and work together with Data Scientists and other experts who focus on generating business value out of data You will work with the latest technology, in agile product teams which discover data to create innovative services Your typical day at work will be filled with the following activities: Build complex data pipelines in Microsoft Azure Optimize existing data pipelines Support in building the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources to Azure Work closely with data analysts and data scientists to provide required data structures and enable new insights Able to provision resources on Azure Keep the data secure across the end-to-end solutions Evaluate and improve existing data analytics solutions Develop your competences, learn new tools and ways of working This Is You We are looking for experienced data engineer with 4+ years of experience and relevant education background You have good hands-on skills on Azure Data Analytics, Spark, Databricks (Cost Optimization Techniques, Cluster Optimization, Performance Tuning) Youhavestronghands-on ETLskillsandexperience in building data pipelines using Databricks (with good knowledge of spark) and orchestrating Data workloads on Azure Data Factory Experience in handling real-time streaming/transactional data preferably Spark-Streaming, Kafka / EventHubs / EventGrid / Stream Analytics/Service Bus etc You havesignificant experiencein processing data in scripting languages (Python, Pyspark, Scala) Working with Git and following Git workflow (Branching, Managing conflicts, etc) Databases (likeSQLserveror Netezza) donthave anysecret foryou You are comfortable with DevOps (or DevSecOps) and are able to provision resources in Azure Youarecomfortableworkingin adiverse,complex,and fast-changing landscapeof datasources You communicate fluently in English Youareproactive problemsolver withinnovative thinkinganda strong teamplayer Extras Good To Have Experience in AGILE project methodology and practice with ARM Templates/Bicep on the DevOps front Understanding the DevOps Architecture (Agent Pools, Accounts, Var Groups, Templating, etc) Azure Networking model (public and private connectivity, VNET injection, etc) Familiarity with Microsoft Power BI or other data visualization tools such as Qlik, SAP Business Objects Knowledge of other services and tools used to ETL workflows like Informatica IICS Experience with business intelligence platforms, such as Microsoft SSIS/SSAS/SSRS, Teradata, IBM Netezza Familiarity with database management systems, online analytical processing (OLAP) We value your data privacy and therefore do not accept applications via mail

We are seeking a highly motivated and experienced data scientist to help us in leading the team of Gen-Ai Engineers involved. You are required to lead manage all the processes from data extraction, cleaning, and pre-processing, to training models and deploying them to production. The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field. Key Responsibilities: Utilize frameworks like Langchain for developing scalable and efficient AI solutions. Integrate vector databases such as Azure Cognitive Search, Weavite, or Pinecone to support AI model functionalities. Work closely with cross-functional teams to define problem statements and prototype solutions leveraging generative AI. Ensure robustness, scalability, and reliability of AI systems by implementing best practices in machine learning and software development Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Demonstrable history of devising and overseeing data-centred projects Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Finding available datasets online that could be used for training Defining validation strategies, feature engineering data augmentation pipelines to be done on a given dataset Training models and tuning their hyperparameters Analysing the errors of the model and designing strategies to overcome them Deploying models to production Qualifications And Education Requirements: Bachelor’s/Master’s degree in computer science, data science, mathematics or a related field. At least 3-10 years’ experience in building Gen-Ai applications. Preferred Skills: Proficiency in statistical techniques such as hypothesis testing, regression analysis, clustering, classification, and time series analysis to extract insights and make predictions from data. Proficiency with a deep learning framework such as TensorFlow, PyTorch and Keras Specialized in Deep Learning (NLP) and statistical machine learning. Strong Python skills. Experience with developing production-grade applications. Familiarity with Langchain framework and vector databases like Azure Cognitive Search, Weavite, or Pinecone. Understanding and experience with retrieval algorithms. Worked on Big data platforms and technologies such as Apache Hadoop, Spark, Kafka, or Hive for processing and analyzing large volumes of data efficiently and at scale. Familiarity in working and deploying applications on Ubuntu/Linux system Excellent communication, negotiation, and interpersonal skills. Qualifications Bachelor’s/Master’s degree in computer science, data science, mathematics or a related field

About Our Team The Content and Data Analytics team is part of DataOps, which is an integral part of Global Operations at Elsevier. We provide data analysis services, primarily using Databricks, and mostly serve product owners and data scientists of Elsevier’s Research Data Platform. Our work contributes to the delivery of leading data analytics products for the world of scientific research, including Scopus and SciVal. About The Role A Data Analyst II should have a basic understanding of best practices and can execute on projects and initiatives with supervision from others. Individuals will create basic level insights and recommendations in their area of expertise. Individuals in this role will continue to provide support to the analytics team members and begin to lead analytics efforts with low complexity. Responsibilities This role is located within DataOps and supports data scientists working within the Domains of the Research Data Platform. Domains are functional units that are responsible for delivering one or more data products, often through data science algorithms, and supporting this work could lead to a wide range of different analytical activities. For example, you may be asked to dive into large datasets to answer questions from product owners or data scientists; you may need to perform large-scale data preparation (dataprep) in order to test hypotheses or support prototypes; you may be asked to review the precision and recall of data science algorithms at scale and surface these as dashboard metrics. You will need to have a keen eye for detail, good analytical skills, and expertise in at least one data analysis system. Above all, you will need curiosity, dedication to high quality work, and an interest in the world of scientific research and the products that Elsevier creates to serve it. Because you will need to communicate with a range of stakeholders around the world we ask for candidates to demonstrate a high level of English. Requirements Minimum work experience of 3 years Coding skills in at least one programming language (preferably Python) and SQL Familiarity with common string manipulation functions such as regular expressions (regex) Prior exposure to data analysis in a tabular form, for example with Pandas or Apache Spark/Databricks Knowledge of basic statistics relevant to data science – eg. precision, recall, F-score Knowledge of visualization tools such as Tableau/Power BI is a plus Experience of working with Agile tools such as JIRA is a plus Stake Holder Management Build and maintain strong relationships with Data Scientists and Product Managers. Align activities with Data Scientists and Product Managers. Present achievements and project status updates, both written and verbally, to various stakeholders. Competencies Collaborates well and works effectively as part of a team Takes initiative and is proactive in suggesting approaches or solutions to problems Drives for results by taking a task to a polished conclusion Key Results Understand the requirements of a given task Identify, gather, prepare and refine data Interpret and understand large data sets Report findings to stakeholders through effective story telling Formulate recommendations and requirements Identify and address new opportunities Way that Works for You We promote a healthy work-life balance across the organization. We offer numerous well-being initiatives, shared parental leave, study assistance, and sabbaticals to help you meet both your immediate responsibilities and long-term goals. Working for You We understand that your well-being and happiness are essential to a successful career. Here are some benefits we offer: Comprehensive Health Insurance. Enhanced Health Insurance Options. Group Life Insurance. Group Accident Insurance. Flexible Working Arrangements. Employee Assistance Program. Medical Screening. Modern Family Benefits include maternity, paternity, and adoption support. Long Service Awards. Celebrating New Baby Gift. Subsidized Meals (location-specific). Various Paid Time Off options including Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, and Gazetted Public Holidays. Free Transport for home-office-home commutes (location-specific). About The Business We are a global leader in information and analytics, assisting researchers and healthcare professionals in advancing science and improving health outcomes. We combine quality information and extensive data sets with analytics to support science and research, health education, and interactive learning. At our company, your work contributes to addressing the world's grand challenges and fostering a sustainable future. We utilize innovative technologies to support science and healthcare, partnering with us for a better world.

Summary Position Summary AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. TIn this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements PySpark Consultant The position is suited for individuals who have demonstrated ability to work effectively in a fast paced, high volume, deadline driven environment. Education and Experience Education: B.Tech/M.Tech/MCA/MS 3-6 years of experience in design and implementation of migrating an Enterprise legacy system to Big Data Ecosystem for Data Warehousing project. Required Skills Must have excellent knowledge in Apache Spark and Python programming experience Deep technical understanding of distributed computing and broader awareness of different Spark version Strong UNIX operating system concepts and shell scripting knowledge Hands-on experience using Spark & Python Deep experience in developing data processing tasks using PySpark such as reading data from external sources, merge data, perform data enrichment and load in to target data destinations. Experience in deployment and operationalizing the code, knowledge of scheduling tools like Airflow, Control-M etc. is preferred Working experience on AWS ecosystem, Google Cloud, BigQuery etc. is an added advantage Hands on experience with AWS S3 Filesystem operations Good knowledge of Hadoop, Hive and Cloudera/ Hortonworks Data Platform Should have exposure with Jenkins or equivalent CICD tool & Git repository Experience handling CDC operations for huge volume of data Should understand and have operating experience with Agile delivery model Should have experience in Spark related performance tuning Should be well versed with understanding of design documents like HLD, TDD etc Should be well versed with Data historical load and overall Framework concepts Should have participated in different kinds of testing like Unit Testing, System Testing, User Acceptance Testing, etc Preferred Skills Exposure to PySpark, Cloudera/ Hortonworks, Hadoop and Hive. Exposure to AWS S3/EC2 and Apache Airflow Participation in client interactions/meetings is desirable. Participation in code-tuning is desirable. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 305899

Summary Position Summary AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Experience: 3-6 years of hands-on experience in designing and developing conceptual, logical, and physical data models for relational, dimensional, and NoSQL data platforms. Knowledge of Data Vault, NoSQL, Dimensional Modeling, Graph data model, and proficiency in at least one of these. Proven experience with data warehousing, data lakes, and enterprise big data platforms. Knowledge of databases such as columnar databases, vector databases, graph databases, etc. Strong knowledge of metadata management, data modeling, and related tools (e.g., Erwin, ER/Studio). Experience with ETL tools and data ingestion protocols. Familiarity with cloud-based data warehousing solutions (e.g., Google BigQuery , AWS Redshift, Snowflake) and big data technologies (e.g., Hadoop, Spark). Experience in creating comprehensive documentation of data models, data dictionaries, and metadata. Preferred: Experience with cloud modernization projects and modern database technologies. Certification in data modeling or database design. Strong communication and presentation skills. Experience in creating data models that comply with data governance policies and regulatory requirements. Experience leading initiatives to modernize data platforms using cloud-based solutions such as Google BigQuery , AWS Redshift, Snowflake, etc. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 302295

Summary Position Summary AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. TThe AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements. Python Developer - Sr. Consultant The position is suited for individuals who have the ability to work in a constantly challenging environment and deliver effectively and efficiently. As a Data Engineer, you will be an integral member of our Data & Analytics team responsible for design and development of pipelines using cutting edge technologies. Work you’ll do Implementation of security and data protection Implementation of ETL pipelines for data from a wide variety of data sources using Python and SQL Delivering data and insights in Realtime Participate in architectural, design, and product sessions. Unit testing and debugging skills Collaborate with other developers, testers, and system engineers to ensure quality of deliverables and any product enhancements. Qualifications: 6-9 Years of technology Consulting experience Education: Bachelors/Master’s degree in Computer Science / MCA / M.Sc / MBA A minimum of 2 Years of experience into Unit testing and debugging skills Excellent knowledge of Python programming language along with knowledge of at least one Python web framework (Django, Flask, FastAPI, Pyramid) Extensive experience in Pandas/Numpy dataframes, slicing, data wrangling, aggregations. Lambda Functions, Decorators. Vector operations on Pandas dataframes /series. Application of applymap, apply, map functions. Understanding on using a framework based on specific needs and requirements. Understanding of the threading limitations of Python, and multi-process architecture Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3 Primary Skills: Python and data analysis libraries (Pandas, NumPy, SciPy). Django DS/Algo SQL (Read & Write) CRUD Awareness of Microservices Preferred: Good Understanding of fundamental design principles behind a scalable application Good Understanding of accessibility and security compliance Familiarity with event-driven programming in Python Proficient understanding of code versioning tools (Git, Mercurial or SVN) Knowledge of PowerShell and SQL Server You are familiar with big data technologies like Spark or Flink and comfortable working with web-scale datasets You have an eye for detail, good data intuition, and a passion for data quality Good Knowledge of user authentication and authorization between multiple systems, servers, and environments You appreciate the importance of great documentation and data debugging skill Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 300058