12 Data Pipelining Jobs

DESCRIPTION Are you customer obsessed, smart and analytical, execution focused, hungry and passionate about e-commerce, and with a strong work ethics If yes, this opportunity will appeal to you. We are looking for a hands-on, detail oriented and highly motivated Senior Associate for the IN Payment Customer Experience (CX) team, to help drive Customer Experience improvements on Amazon Pay. Our ideal candidate will be a quick learner and be able to work independently. He/she/they should have the ability to identify and transform business needs into actionable insights that drive CX. As a part of the IN Payments CX team, the candidate will be associated with high-impact cross-functional projects and impact CX & influence Product improvements across different Amazon pay products & categories. The position is based in Bangalore. To be successful in this role you should have superior communication, presentation and organizational skills. Operating in a fast-moving and sometimes ambiguous environment you will work autonomously taking control and responsibility for achieving the objectives of the role. This role provides opportunities to develop original ideas, approaches, and solutions in a competitive and ever changing business climate. Key job responsibilities As a senior associate, the candidate will work closely on customer experience program. The candidate will be expected to have a high bar in managing the stakeholders across multiple team within Amazon. The role will cover: A) Working with program and product managers to identify defects/gaps in customer experience B) The candidate is expected to analyze existing data sets and identify top customer trust busters C) The role will closely work with program and product owners across APay to set up mechanisms and achieve CX goals, implement defect reduction program framework , WBR/MBR/QBR/OP documents, goal tracking, reporting and documentation. D) The candidate will be expected to share customer anecdotes through multiple channels like contact mining/heartbeat dashboards/tableau dashboards etc. E) As a senior associate embedded in the business team the candidate will have the opportunity to participate and shape program development by employing their technical skills. F) Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions G) Ensure data accuracy by validating data for new and existing tools. Learn and understand a broad range of Amazon's data resources and know how, when, and which to use and which not to use. A day in the life To perform your daily tasks, one requires high attention to details, proven ability to manage multiple and competing priorities simultaneously. This is a fast-paced environment where continuous innovation is expected, a superior and crisp verbal/written communication is primary skill and ambiguity is a norm. Bias for action, customer obsession and ownership are some of key leadership principles this role should strive for. This role requires superior analytical skill set, able to quickly address problems and apply analytical expertise to rapidly solution and deliver. The whole cycle would involve interaction with many teams. Successful candidates must thrive in fast-paced environments which encourage collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, extract and manipulate data across various data marts. About the team The IN Payments Customer Experience (PayCX) Team's Vision is to simplify lives by providing best in class experience to our customers and merchants across payment products & services in a cost-efficient manner. The Customer Experience Team's Mission is to make customers payment journey fast, friction-free, trusted and convenient across channels by listening intently, deriving deep rooted insights and executing against them relentlessly. BASIC QUALIFICATIONS - 1+ years of data analytics or automation experience - 1+ years of capacity planning, operations planning, business analysis or similar experience - Bachelor's degree - Knowledge of data pipelining and extraction using SQL - Knowledge of SQL and Excel at a moderate or advanced level - Experience with data mining tools like SQL, SAS, SPSS, or similar PREFERRED QUALIFICATIONS - Knowledge of SQL/Python/R, scripting, MS Excel, table joins, and aggregate analytical functions Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

As an Engineering Manager at Frequence, you will have the opportunity to lead the Insights and Analytics team to provide strategic direction and ensure alignment across teams. Your role will involve managing high-performance international individual contributors and overseeing the successful execution of complex, business-critical projects. Anticipating challenges, managing risks, and delivering impactful results will be essential to drive revenue and support the company's growth strategies. The team you will be leading is the driving force behind Madhive's Intelligence and Measurement, empowering customers with crystal-clear insights into their campaigns. Working collaboratively, you will identify and drive new strategic opportunities, weave AI into data and reporting solutions, and align technical efforts with business goals. Leading technical design and execution across projects, you will advocate for strong engineering practices and ensure that engineering outcomes have a measurable impact on company performance. To excel in this role, you should hold a Bachelors or Masters degree in Computer Science, Engineering, or related field, or possess equivalent work experience. With 7+ years of software development experience, including 3+ years in leadership roles, you should have a deep understanding of design patterns, software development methodologies, and distributed systems architecture. Proficiency in relevant technologies and tools such as Looker, Airflow, Spark, and streaming architectures is required. Experience in data pipelining, data warehousing, data modeling, and cloud infrastructure, preferably GCP, will be beneficial. Your ability to drive complex cross-functional projects, manage risks, and foster a culture of growth and accountability will be crucial. Being data-driven and using metrics to track team performance and make strategic decisions will also be key to success in this role. Frequence offers a dynamic, diverse, innovative, and friendly work environment where creativity is embraced, and differences are valued. As part of a trail-blazing team, you will have the opportunity to think big, make an impact, and contribute to the growth and success of the company. Please note that third-party recruiting agencies will not be considered for this search.,

DESCRIPTION About the Org Fulfillment Centers (FCs) are the physical engine at the heart of Amazon, that move billions of units of inventory, employ tens of thousands of people, and ensure that customers get what they want when promised. Amazon India FC Operations team is looking for a passionate, results-oriented Business Intelligence Support Engineer who thrives in a fast paced, data-driven environment. The selected candidate will have a passion for building and maintaining scalable solutions to enable the growth our FC Operations. Responsibilities The position will work closely with Central ACES teams to develop platform and tools and analyze data to support initiatives, dig deep into data to determine root cause of defects, build and maintain decision support process to track defects and correct them in real time. Proposed Responsibilities of BIE Support will be: - Managing the queue for defect alarms and ensure corrective actions are taken in real time - Monitoring health of DWP jobs, infrastructure and platform - maintaining 100% availability and scaling - Performing root cause analysis and resolving Trouble Tickets. - Enhancements to the existing solutions independently (with minimal guidance from BIE team) - Gradual ownership of medium complexity solutions from the roadmap initiatives BASIC QUALIFICATIONS - 1+ years of data analytics or automation experience - 1+ years of capacity planning, operations planning, business analysis or similar experience - Bachelor's degree - Knowledge of data pipelining and extraction using SQL - Knowledge of SQL and Excel at a moderate or advanced level - Experience with data mining tools like SQL, SAS, SPSS, or similar PREFERRED QUALIFICATIONS - Knowledge of SQL/Python/R, scripting, MS Excel, table joins, and aggregate analytical functions Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

DESCRIPTION About the Team As Amazon India's DEX product team, we are at the forefront of the Customer Experience product thought leadership - working on some of the most difficult Customer Experience problems while partnering with research scientists, software developers, and business leaders. With the focus on driving real impact on Amazon's long-term profitability, we build new analysis from ground up, proposing new concepts and technology to meet business needs, and translating these concepts into robust scalable products that deliver tangible value to our customers and to the A.in business. About the Role Improving speed and CTS are 2 key objectives of Regionalization. We have several products that we have launched to achieve this objective and have opportunities to scale them. In this role, the candidate will be responsible for finding the opportunities and scaling them with guidance from product/program team members. The role provides great exposure to basic skills of product job function. Key Responsibilities: The key areas of responsibility are: 1) Experiment analysis, deep dives (with readymade queries) and reporting 2) Analyze product usage trends to identify and action upon product improvement opportunities. 3) Extensive Audit of the CXes of the experiments to identify undesired behavior due to signal inaccuracies 4) Create end to end documentation of experiment learnings and socialize 5) Create overall product progress reports and socialize 6) Identify user pain points, friction areas and top features for the product and share structured feedback with internal teams for product improvement. 7) Create widgets targeted to improve speed and co-shippability at scale using existing tools and track performance 8) Identify opportunities to scale cost based regionalization across IES in collaboration with the IES DEX Program manager. BASIC QUALIFICATIONS - 1+ years of data analytics or automation experience - 1+ years of capacity planning, operations planning, business analysis or similar experience - Bachelor's degree - Knowledge of data pipelining and extraction using SQL - Knowledge of SQL and Excel at a moderate or advanced level PREFERRED QUALIFICATIONS - 2+ years of data analytics or automation experience Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

DESCRIPTION Amazon India is seeking highly analytical and detail oriented candidate to join the Consumables Category team in Bangalore. As part of the team, the analyst will analyze business decisions, troubleshoot issues, and communicate the findings effectively across different teams. This role will support regular operations of a part of the E-commerce business. An ideal analyst is one who enjoys discovering and solving complicated problems, can quickly learn complex systems, likes to work with numbers, and takes pride in organizing and communicating his work. BASIC QUALIFICATIONS - 1+ years of data analytics or automation experience - 1+ years of capacity planning, operations planning, business analysis or similar experience - Bachelor's degree - Knowledge of data pipelining and extraction using SQL - Experience with data mining tools like SQL, SAS, SPSS, or similar PREFERRED QUALIFICATIONS - Knowledge of SQL and Excel at a moderate or advanced level Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

This job is with Amazon, an inclusive employer and a member of myGwork the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Description About the Team As Amazon India&aposs DEX product team, we are at the forefront of the Customer Experience product thought leadership - working on some of the most difficult Customer Experience problems while partnering with research scientists, software developers, and business leaders. With the focus on driving real impact on Amazon&aposs long-term profitability, we build new analysis from ground up, proposing new concepts and technology to meet business needs, and translating these concepts into robust scalable products that deliver tangible value to our customers and to the A.in business. About The Role Improving speed is a key priority for the IN and IES markets. Multiple teams across the board - operations, supply chain, DEX, categories, SCOT and EF, run initiatives to improve speed. In this role, the candidate will be responsible for coordinating with stakeholders across all teams and finding the opportunities and synergies to impact delivery speed. The Key Areas Of Responsibility Are Deep dive on data related to speed output metrics across IES (specifically IN) Deep dive on key speed input metrics to identify and callout key areas/clusters of concerns (IN) Coordinate with execution owners on ground to understand progress, challenges and barriers Track and report project milestones to ensure all teams are aware of the progress Create and publish commentaries across various forums to update key stakeholders on speed progress (output and initiatives) Coordinate with category and operations teams to optimize the execution of ongoing speed promotions Basic Qualifications 1+ years of data analytics or automation experience 1+ years of capacity planning, operations planning, business analysis or similar experience Bachelor&aposs degree Knowledge of data pipelining and extraction using SQL Knowledge of SQL and Excel at a moderate or advanced level Preferred Qualifications 2+ years of data analytics or automation experience Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&aposre applying in isn&apost listed, please contact your Recruiting Partner. Show more Show less

As a Principal Developer specializing in Application and Data Integration at Myers-Holum, you will be a key player in the company's expansion into India. Your role will involve hands-on design, development, deployment, and maintenance of integration processes between applications using tools such as Oracle Integration Cloud (OIC), Dell Boomi, and other data integration platforms. You will be responsible for managing and supporting existing integrations, developing custom data integration solutions to ingest data from various sources, designing and testing data warehouse solutions, and integrating with REST API endpoints and applications like Netsuite. Collaboration with cross-functional teams to define data migration and integration requirements will be a crucial aspect of your role. To be successful in this role, you should possess at least 6 years of relevant consulting or industry experience, with a strong background in end-to-end integration solutions development for enterprise software. Proficiency in Oracle Integration Cloud (OIC) or Dell Boomi Platform, as well as experience with Netsuite, Oracle or other relational databases, and data warehouse projects, will be required. Additionally, knowledge of ERP data and business processes, along with excellent written and verbal communication skills, is essential. At Myers-Holum, you will have the opportunity to collaborate with a diverse team of professionals, shape your future, and positively influence change for customers. The company values curiosity, humility, and resilience, and encourages employees to pave their path through expertise and discover their true potential. Myers-Holum, a technology and management consulting firm established in 1981, offers stability, growth, and a supportive work environment. With over 400 remote employees across multiple countries, the company partners with cutting-edge technology providers to deliver exceptional customer experiences. You will have access to training, certification opportunities, career growth, and health benefits, including medical insurance coverage for employees and dependents. Join us at Myers-Holum and be part of a dynamic team that is dedicated to continuous growth and success.,

Key Deliverables: Build and optimize scalable data systems for seamless order management and insights Oversee data transformation, ensuring accessibility and usability for cross-functional teams Lead and mentor junior engineers to align with Meesho's long-term strategy Collaborate closely with sales, engineering, and other teams to ensure smooth data operations Role Responsibilities: Plan and direct long-term data engineering projects Implement performance tuning for Big Data platforms (Spark, Delta Lake, Presto) Manage data flow using Apache Flink/Spark Streaming Facilitate smooth collaboration and ensure team goals align with organizational objectives

As a Data Engineer with 6-9 years of experience, your role will be based in Pune. You should have a minimum of 5 years of experience as a Data Engineer, along with hands-on expertise in Star/Snowflake schema design, data modeling, data pipelining, and MLOps. Your proficiency in Data Warehouse technologies like Snowflake, AWS Redshift, and AWS data pipelines (Lambda, AWS Glue, Step Functions, etc.) will be crucial. Strong skills in SQL and at least one major programming language (Python/Java) are required. Additionally, you should be experienced with Data Analysis Tools such as Looker or Tableau, and have familiarity with Pandas, Numpy, Scikit-learn, and Jupyter notebooks. Knowledge of Git, GitHub, and JIRA is preferred. Your ability to identify and resolve data quality issues, provide end-to-end data platform support, and work effectively as an individual contributor is essential. In this role, you will need to possess strong analytical and problem-solving skills, with meticulous attention to detail. A positive mindset, can-do attitude, and a focus on simplifying tasks and building reusable components will be highly valued. You should be able to assess the suitability of new technologies for solving business problems and establish strong relationships with various stakeholders. Your responsibilities will involve designing, developing, and maintaining an accurate, secure, available, and fast data platform. You will engineer efficient, adaptable, and scalable data pipelines, integrate various data sources, create standardized datasets, and ensure product changes align well with the data platform. Collaborating with cross-functional teams, understanding their challenges, and providing data-driven solutions will be key aspects of your role. Overall, your technical skills, including expertise in data engineering, schema design, data modeling, and data warehousing, will play a vital role in driving the success of the data platform and meeting the goals of the organization.,

Join us as an Assistant Vice President (AVP) Research where you play a crucial role in making informed investment decisions. Our Research team is dedicated to producing proprietary products, differentiated market analysis, and actionable investment ideas for sophisticated investors worldwide. We strive to integrate research disciplines, asset classes, and geographies to provide a comprehensive view of the financial landscape. As an AVP Research, your primary responsibility will be to leverage alternative data and data science methods in collaboration with finance domain experts to enhance financial research. You will also focus on developing and refining methods and infrastructure to streamline research production, ultimately increasing our efficiency over time. This will involve creating software solutions to automate repetitive analyses for team-wide access. Additionally, you will engage in long-term projects aimed at enhancing our research capabilities, such as developing neural language models and pioneering new bias adjustment methods. Successful candidates for this role must possess strong interpersonal skills as they will work closely with global team members and analysts. Effective communication of technical concepts to both technical and non-technical audiences through written and oral channels is essential for this position. Key Responsibilities: - Collaborate on short research projects for publication on Barclays research platform. - Integrate new data sets and develop software to optimize their usability. - Inform analysis designs, particularly in causal and statistical inference. - Apply machine learning methods strategically to enhance research outcomes. - Propose and implement innovative methods for longer-term projects with high potential impact on financial research. Desirable Skillsets: - Proficiency in data analysis and machine learning. - Familiarity with data pipelining, automation, PySpark, SQL, and statistical applications. - Strong communication skills demonstrated through written publications. - Expertise in causal and statistical inference, including observational causal designs. - Previous experience in large-scale text analysis or geolocation data analysis. - Background in quantitative finance. Location: Nirlon Knowledge Park, Mumbai. This role is classified as a Certified position under the PRA & UK Financial Conduct Authority regulations, potentially requiring mandatory regulatory qualifications or minimum internal benchmarks. Purpose of the Role: To deliver differentiated market insights and actionable ideas through research to Barclays Clients. Key Accountabilities: - Analyze market, sector, corporate, and economic data to formulate investment theses for coverage universe. - Present research views to clients through various channels including face-to-face interactions, events, and written communications. - Engage with internal stakeholders to raise awareness of research insights. - Provide insights and research views to internal clients to navigate financial markets effectively. - Collaborate with compliance and supervisory analysts to ensure compliant delivery of research. Assistant Vice President Expectations: - Advise and influence decision-making, contribute to policy development, and ensure operational effectiveness. - Lead complex tasks, setting objectives, coaching employees, and driving performance outcomes. - Foster a collaborative environment, provide guidance on assignments, and identify new directions for projects. - Consult on complex issues, mitigate risks, and develop policies to enhance control and governance. - Engage in detailed data analysis, communicate complex information effectively, and influence stakeholders to achieve desired outcomes. All colleagues are expected to uphold Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as demonstrate the Barclays Mindset of Empower, Challenge, and Drive.,

Join us as an Assistant Vice President (AVP) Research where you will play a crucial role in making the best investment decisions. Our Research vision revolves around differentiation and integration, where we strive to provide proprietary products, unique market analysis, and actionable investment ideas to sophisticated investors across the globe. We integrate research disciplines, asset classes, and geographies to deliver comprehensive insights. As an AVP Research, your primary responsibility will be to utilize alternative data and data science methods in collaboration with finance domain experts to enhance financial research. You will focus on developing methods and infrastructure to enhance research productivity by creating software for repeatable analysis that can be shared within the team. Additionally, you will work on long-term projects aimed at improving our capabilities, such as developing neural language models on text and innovating bias adjustment methods. To excel in this role, you must possess strong interpersonal skills as data scientists work closely with global team members and analysts. Clear communication of technical concepts to both technical and non-technical audiences through written and oral channels is essential for success. Key responsibilities include collaborating on short research projects for publication, onboarding new data sets, informing analysis designs, applying ML methods strategically, and ideating and executing novel methods for longer-term projects. Desirable skillsets include strong data analysis and ML skills, understanding of data pipelining and automation, expertise in statistics for research design, and experience in large-scale text or geolocation data analysis. This role is based in Nirlon Knowledge Park, Mumbai, and is certified under the PRA & UK Financial Conduct Authority regulations. You will be responsible for producing and delivering research with differentiated market insights and actionable ideas to Barclays Clients. Your accountabilities include analyzing market data, presenting research views to clients, engaging with stakeholders, providing insights to internal clients, and ensuring compliance in research production and delivery. As an Assistant Vice President, you are expected to advise and influence decision-making, lead a team, set objectives, coach employees, and demonstrate leadership behaviours. You will collaborate with other functions, guide team members, consult on complex issues, mitigate risks, and contribute to the governance agenda. Additionally, you will engage in complex data analysis, communicate complex information, and influence stakeholders to achieve desired outcomes. All colleagues are expected to uphold the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as demonstrate the Barclays Mindset of Empower, Challenge, and Drive.,

About the Role We are seeking Data Analysts to be part of our GSS DaaS team who will support Uber's internal Operations teams across the globe and drive the analysis behind various business-related decisions. You will work along with the Program Managers and the Client team to put together processes and deliver on the requirements. For this role you need to be comfortable with numbers, good with logical reasoning and generating insights. What the Candidate Will Need / Bonus Points You will perform a range of activities to analyze Uber's Delivery, Mobility & Core Services data sources to improve business efficiency & effectiveness and deliver qualitative insights as well as partnering with Operations teams to build analytics solutions. The ideal candidate is experienced working with large data sets and data visualization, as well as being passionate about data and analytics. The following describes what you may be doing day-to-day: Embed within Uber's Ops team and develop expertise around all aspects of their data Deep dive into historical data to understand their sources, feature sets and identify patterns Write queries, perform ad-hoc analysis and create reporting to ensure the team is moving towards smarter decisions Perform analytical deep dives to drive product/strategy road-map Build interactive and visually appealing dashboards using data visualization tools such as Tableau, or Looker. Translate analytical solutions into useful insights and recommendations for the technical and non-technical audience in a clear, concise and persuasive way Get pumped up by deciphering huge data sets and cutting through irrelevant distractions to get to the heart of the core data questions Attention to detail, accuracy is a must! Humble and scrappy - not afraid to take on lower level projects when it will clear roadblocks for the team Demonstrate good documentation practices and able to meet deadlines ---- Basic Qualifications ---- Minimum 3 years experience working in business intelligence, analytics, data engineering, or a similar role Ability to write complex SQL queries including experience working with large data sets and Hive database Ability to code in Python for setting up Automations Data pipelining / ETL experience Fluency in communicating data insights (Methods, Results & Actions) with the peer group Team player and able to multitask Ability to work with remote teams and within the Australia time zone Able to raise the bar for quality/efficiency within the team ---- Preferred Qualifications ---- BS / Masters in Maths, statistics, science or any other quantitative discipline Expertise in Statistical Data Analysis and Hypothesis Testing We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together. Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role. .Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .