59 Presto Jobs

As a Senior Platform Engineer at our company, you will be a key member of the Data Platform team, leveraging your expertise in data platforms, data warehousing, and data administration. Your role will involve defining and aligning data platform strategies across the organization, ensuring optimal performance of our data lake and data warehouse environment to meet business needs effectively. Responsibilities: - Define and align Data Lake and Data Warehouse usage strategies organization-wide - Design, develop, and maintain Data Lake and Data Warehouse solutions - Perform data lake and data warehouse administration tasks including user management, security, and performance tuning - Collaborate with data architects, business stakeholders, and other teams to understand data requirements and establish guidelines and processes - Define cost attribution, optimization, and monitoring strategies for the data platform - Develop and maintain data models, schemas, and database objects - Monitor and optimize data lake and data warehouse performance for high availability and reliability - Stay updated with the latest advancements in data platforms and related technologies - Provide mentorship and guidance to junior team members Minimum Qualifications: - Bachelor's degree in Computer Science, Information Technology, or related field - 5+ years of experience in Data Platform engineering - 3+ years of hands-on experience with data lake and data warehouse - Experience with cloud platforms like AWS, Data Warehouse solutions like Snowflake - Experience with provisioning and maintenance of Spark, Presto, Kubernetes clusters - Familiarity with open table formats like Iceberg, metadata stores like HMS, GDC, etc. - Strong problem-solving skills and attention to detail - Excellent communication and collaboration skills Preferred Qualifications: - Snowflake Experience - Proficiency in coding languages such as Python - Familiarity with data visualization tools like Looker - Experience with Agile/Scrum methodologies Join us at Autodesk, where every day brings new opportunities to create amazing things with our software. Embrace our culture that values diversity, belonging, and innovation, and be part of a team that shapes the future. Discover a rewarding career that helps build a better world for all.,

You will be responsible for implementing, managing, and supporting web-based applications that support Dental Network Administration, Quality Management Program, Clinical AI Review DB, and Cactus. Your role will involve leading the offshore technical team, developing applications, making enhancements, and collaborating with onshore technology teams. Your expertise in Microsoft technologies will be crucial, including ASP.NET, .Net core, Restful API, WCF, MVC, MSSQL, Oracle SQL server, jQuery, JavaScript, CI/CD, Jenkins, Service Now, JIRA, Confluence, React & Angular (basics), Launchpad, AWS services (basics), Swagger, PostgreSQL, Hive & Presto. You must have hands-on experience in building and consuming Restful API Services, creating queries, stored procedures, and packages for relational database management systems. In addition, you should possess detailed knowledge of design patterns and architecture connecting multiple applications through Restful API services. Experience in working in an onshore/offshore model and a proven track record of successful project delivery are required. You will be the go-to expert for web and mobile application implementations, actively leading technical teams, participating in PI planning events, managing risks and dependencies, and fostering Communities of Practice. Your responsibilities will also include managing existing and new software vendor relationships to comply with Guardian Security policies, providing technical guidance and mentoring to less experienced team members. This position can be based in Chennai or Gurgaon. If you are a current Guardian colleague, please apply through the internal Jobs Hub in Workday.,

The primary focus of this role will be to perform development work within the Azure Data Lake environment and other related ETL technologies. You will be responsible for ensuring on-time and on-budget delivery, satisfying project requirements while adhering to enterprise architecture standards. In addition, this role will involve L3 responsibilities for ETL processes. Your responsibilities will include delivering key Azure Data Lake projects within the specified time and budget. You will contribute to solution design and build to ensure scalability, performance, and reuse of data and other components. It is essential to ensure on-time and on-budget delivery that meets project requirements while following enterprise architecture standards. Strong problem-solving abilities are required, focusing on managing business outcomes through collaboration with various internal and external stakeholders. You should be enthusiastic, willing to learn, and continuously develop skills and techniques, embracing change and seeking continuous improvement. Effective communication, both written and verbal, with good presentational skills in the English language is necessary. Being customer-focused and a team player is also important. Qualifications: - Bachelor's degree in computer science, MIS, Business Management, or related field - Minimum 5 years of experience in Information Technology - Minimum 4 years of experience in Azure Data Lake Technical Skills: - Proven experience in development activities in Data, BI, or Analytics projects - Experience in solutions delivery with knowledge of system development lifecycle, integration, and sustainability - Strong knowledge of Pyspark and SQL - Good understanding of Azure Data Factory or Databricks - Desirable knowledge of Presto/Denodo - Desirable knowledge of FMCG business processes Non-Technical Skills: - Excellent remote collaboration skills - Experience working in a matrix organization with diverse priorities - Exceptional written and verbal communication skills, collaboration, and listening skills - Ability to work with agile delivery methodologies - Ability to ideate requirements and design iteratively with business partners without formal requirements documentation,

Job Summary As a Software Engineer at NetApp India’s R&D division, you will be responsible for the design, development and validation of software for Big Data Engineering across both cloud and on-premises environments. You will be part of a highly skilled technical team named NetApp Active IQ. The Active IQ DataHub platform processes over 10 trillion data points per month that feeds a multi-Petabyte DataLake. The platform is built using Kafka, a serverless platform running on Kubernetes, Spark and various NoSQL databases. This platform enables the use of advanced AI and ML techniques to uncover opportunities to proactively protect and optimize NetApp storage, and then provides the insights and actions to make it happen. We call this “actionable intelligence”. Job Requirements Design and build our Big Data Platform, and understand scale, performance and fault-tolerance • Interact with Active IQ engineering teams across geographies to leverage expertise and contribute to the tech community. • Identify the right tools to deliver product features by performing research, POCs and interacting with various open-source forums • Work on technologies related to NoSQL, SQL and in-memory databases • Conduct code reviews to ensure code quality, consistency and best practices adherence. Technical Skills • Big Data hands-on development experience is required. • Demonstrate up-to-date expertise in Data Engineering, complex data pipeline development. • Design, develop, implement and tune distributed data processing pipelines that process large volumes of data; focusing on scalability, low -latency, and fault-tolerance in every system built. • Awareness of Data Governance (Data Quality, Metadata Management, Security, etc.) • Experience with one or more of Python/Java/Scala. • Knowledge and experience with Kafka, Storm, Druid, Cassandra or Presto is an added advantage. Education • A minimum of 5 years of experience is required. 5-8 years of experience is preferred. • A Bachelor of Science Degree in Electrical Engineering or Computer Science, or a Master Degree; or equivalent experience is required.

As a Manager at Autodesk, you will lead the BI and Data Engineering Team to develop and implement business intelligence solutions. Your role is crucial in empowering decision-makers through trusted data assets and scalable self-serve analytics. You will oversee the design, development, and maintenance of data pipelines, databases, and BI tools to support data-driven decision-making across the CTS organization. Reporting to the leader of the CTS Business Effectiveness department, you will collaborate with stakeholders to define data requirements and objectives. Your responsibilities will include leading and managing a team of data engineers and BI developers, fostering a collaborative team culture, managing data warehouse plans, ensuring data quality, and delivering impactful dashboards and data visualizations. You will also collaborate with stakeholders to translate technical designs into business-appropriate representations, analyze business needs, and create data tools for analytics and BI teams. Staying up to date with data engineering best practices and technologies is essential to ensure the company remains ahead of the industry. To qualify for this role, you should have 3 to 5 years of experience managing data teams and a BA/BS in Data Science, Computer Science, Statistics, Mathematics, or a related field. Proficiency in Snowflake, Python, SQL, Airflow, Git, and big data environments like Hive, Spark, and Presto is required. Experience with workflow management, data transformation tools, and version control systems is preferred. Additionally, familiarity with Power BI, AWS environment, Salesforce, and remote team collaboration is advantageous. The ideal candidate is a data ninja and leader who can derive insights from disparate datasets, understand Customer Success, tell compelling stories using data, and engage business leaders effectively. At Autodesk, we are committed to creating a culture where everyone can thrive and realize their potential. Our values and ways of working help our people succeed, leading to better outcomes for our customers. If you are passionate about shaping the future and making a meaningful impact, join us in our mission to turn innovative ideas into reality. Autodesk offers a competitive compensation package based on experience and location. In addition to base salaries, we provide discretionary annual cash bonuses, commissions, stock grants, and a comprehensive benefits package. If you are interested in a sales career at Autodesk or want to learn more about our commitment to diversity and belonging, please visit our website for more information.,

ETL Tester,ETL/Data Migration Testing,AWS to GCP data migration, PostgreSQL, AlloyDB, Presto, BigQuery, S3, and GCS,Python for test automation,data warehousing and cloud-native tools,PostgreSQL to AlloyDB,Presto to BigQuery,S3 to Google Cloud Storage

As an Odoo Developer at CGI, you will be responsible for developing and customizing solutions on the Odoo Platform v15+. With a minimum of 4 years of experience, you will have a deep understanding of Odoo modules, architecture, APIs, and the ability to integrate Odoo with other systems and data sources. You will work on Odoo deployments with more than 1000 logged-in users, ensuring scalability for a large number of users and transactions. Proficiency in Python is essential, and experience with other programming languages such as Java or Scala is a plus. In this role, you will have the opportunity to analyze and interpret complex data sets, utilize data visualization tools like Superset, and work with technologies such as Cassandra and Presto for data analysis and reporting. Your experience with SQL, relational databases like PostgreSQL or MySQL, ETL tools, and data warehousing concepts will be crucial for success. Familiarity with big data technologies like Hadoop and Spark is advantageous. DevSecOps practices are integral to the role, requiring experience with containerization, Docker, Kubernetes clusters, and CI/CD using GitLab. Knowledge of SCRUM and Agile methodologies is essential, as well as proficiency in Linux/Windows operating systems and tools like Jira, GitLab, and Confluence. As a successful candidate, you will demonstrate strong problem-solving and analytical skills, effective communication and collaboration abilities, attention to detail, and a commitment to data quality. You will thrive in a fast-paced, dynamic environment and contribute to turning meaningful insights into action. At CGI, you will be part of a team that values ownership, teamwork, respect, and belonging. You will have the opportunity to shape your career, develop innovative solutions, and access global capabilities while being supported by leaders who care about your well-being and growth. Join CGI as a partner and contribute to one of the largest IT and business consulting services firms in the world.,

The role of Staff Engineer - Data in SonyLIV's Digital Business is to lead the data engineering strategy, architect scalable data infrastructure, drive innovation in data processing, ensure operational excellence, and build a high-performance team to enable data-driven insights for OTT content and user engagement. This position is based in Mumbai and requires a minimum of 8 years of experience in the field. Responsibilities include defining the technical vision for scalable data infrastructure using modern technologies like Spark, Kafka, Snowflake, and cloud services, leading innovation in data processing and architecture through real-time data processing and streaming analytics, ensuring operational excellence in data systems by setting and enforcing standards for data reliability and privacy, building and mentoring a high-caliber data engineering team, collaborating with cross-functional teams, and driving data quality and business insights through automated quality frameworks and BI dashboards. The successful candidate should have 8+ years of experience in data engineering, business intelligence, and data warehousing, with expertise in high-volume, real-time data environments. They should possess a proven track record in building and managing large data engineering teams, designing and implementing scalable data architectures, proficiency in SQL, experience with object-oriented programming languages, and knowledge of A/B testing methodologies and statistical analysis. Preferred qualifications include a degree in a related technical field, experience managing the end-to-end data engineering lifecycle, working with large-scale infrastructure, familiarity with automated data lineage and auditing tools, expertise with BI and visualization tools, and advanced processing frameworks. Joining SonyLIV offers the opportunity to drive the future of data-driven entertainment by collaborating with industry professionals, working with comprehensive data sets, leveraging cutting-edge technology, and making a tangible impact on product delivery and user engagement. The ideal candidate will bring a strong foundation in data infrastructure, experience in leading and scaling data teams, and a focus on operational excellence to enhance efficiency.,

Job Title: Lead Data Engineer Location: Gurgaon Department: Data Engineering / Technology Experience Required: 510 years (with 1–2 years in a lead role preferred) About the Role: We are looking for a highly skilled and motivated Lead Data Engineer to join our growing data team. The ideal candidate will have hands-on experience in designing, building, and optimizing scalable data pipelines and architectures. You will work closely with data scientists, analysts, and product teams to enable data-driven decisions across the organization. Key Responsibilities: Design, develop, and maintain large-scale distributed data processing systems using Spark (on EMR) and Scala Build and manage real-time data pipelines with Apache Kafka Leverage SQL , Athena , and other AWS data tools for efficient data querying and transformation Orchestrate workflows using Apache Airflow Deploy and manage infrastructure using AWS components (e.g., EKS , EMR, S3, etc.) Collaborate with stakeholders to build interactive dashboards and reports using Superset or other data visualization tools Ensure high-quality data availability, integrity, and governance across systems Provide technical leadership, code reviews, and mentoring to junior engineers Required Skills: Strong experience with Apache Spark and Scala Hands-on expertise in Apache Kafka for streaming data solutions Strong command of SQL ; experience with Athena is a plus Experience working with AWS services (especially EMR , EKS , S3 , etc.) Experience with Airflow for job scheduling and orchestration Familiarity with Superset or similar data visualization tools (e.g., Tableau, Power BI) Understanding of data warehouse technologies like Hive and Presto (deep expertise not required if strong in SQL) Preferred Qualifications: Prior experience in a leadership or mentoring role Exposure to best practices in data engineering, data governance, and security Strong problem-solving skills and ability to work in a fast-paced environment What We Offer: Opportunity to work on cutting-edge data technologies Collaborative and inclusive work culture

> 5+ years of professional experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.) 3+ years of professional experience with Enterprise Domains Like HR, Finance, Supply Chain 4+ years of professional experience with more than one SQL and relational databases including expertise in Presto, Spark, and MySQL Professional experience designing and implementing real-time pipelines (Apache Kafka, or similar technologies) 5+ years of professional experience in custom ETL design, implementation, and maintenance 3+ years of professional experience with Data Modeling including expertise in Data Warehouse design and Dimensional Modeling 5+ years of professional experience working with cloud or on-premises Big Data/MPP analytics platform (Teradata, AWS Redshift, Google BigQuery, Azure Synapse Analytics, or similar) Experience with data quality and validation (using Apache Airflow) Experience with anomaly/outlier detection Experience with Data Science workflow (Jupyter Notebooks, Bento, or similar tools) Experience with Airflow or similar workflow management systems Experience querying massive datasets using Spark, Presto, Hive, or similar Experience building systems integrations, tooling interfaces, implementing integrations for ERP systems (Oracle, SAP, Salesforce, etc.) Experience in data visualizations using Power BI and Tableau. Proficiency in Python programming language and Python libraries, with a focus on data engineering and data science applications. Professional fluency in English required Mandatory Skills: Data Analysis. Experience: 3-5 Years. >

> Long Description Bachelors Degree preferred, or equivalent combination of education, training, and experience. 5+ years of professional experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.) 3+ years of professional experience with Enterprise Domains Like HR, Finance, Supply Chain 6+ years of professional experience with more than one SQL and relational databases including expertise in Presto, Spark, and MySQL Professional experience designing and implementing real-time pipelines (Apache Kafka, or similar technologies) 5+ years of professional experience in custom ETL design, implementation, and maintenance 3+ years of professional experience with Data Modeling including expertise in Data Warehouse design and Dimensional Modeling 5+ years of professional experience working with cloud or on-premises Big Data/MPP analytics platform (Teradata, AWS Redshift, Google BigQuery, Azure Synapse Analytics, or similar) Experience with data quality and validation (using Apache Airflow) Experience with anomaly/outlier detection Experience with Data Science workflow (Jupyter Notebooks, Bento, or similar tools) Experience with Airflow or similar workflow management systems Experience querying massive datasets using Spark, Presto, Hive, or similar Experience building systems integrations, tooling interfaces, implementing integrations for ERP systems (Oracle, SAP, Salesforce, etc.) Experience in data visualizations using Power BI and Tableau. Proficiency in Python programming language and Python libraries, with a focus on data engineering and data science applications. Professional fluency in English required Mandatory Skills: Data Analysis. Experience: 5-8 Years. >

As a Software Engineer (A2), your main responsibilities will revolve around designing and developing AI-driven data ingestion frameworks and real-time processing solutions to enhance data analysis and machine learning capabilities across the full technology stack. You will be tasked with deploying, maintaining, and supporting application codes and machine learning models in production environments while ensuring seamless integration with front-end and back-end systems. Additionally, you will create and improve AI solutions that facilitate the smooth flow of data across the data ecosystem, enabling advanced analytics and insights for end users. Your role will also involve conducting business analysis to gather requirements and develop ETL processes, scripts, and machine learning pipelines that meet technical specifications and business needs using both server-side and client-side technologies. You will be responsible for developing real-time data ingestion and stream-analytic solutions leveraging technologies such as Kafka, Apache Spark, Python, and cloud platforms to support AI applications. Utilizing multiple programming languages and tools like Python, Spark, Hive, Presto, Java, and JavaScript frameworks, you will build prototypes for AI models and assess their effectiveness and feasibility. It will be essential to develop application systems adhering to standard software development methodologies to deliver high-performance AI solutions across the full stack. Collaborating with other engineers, you will provide system support to resolve issues and enhance system performance for both front-end and back-end components. Furthermore, you will operationalize open-source AI and data-analytic tools for enterprise-scale applications, ensuring alignment with organizational needs and user interfaces. Compliance with data governance policies by implementing and validating data lineage, quality checks, and data classification in AI projects will be a crucial aspect of your role. You will need to understand and follow the company's software development lifecycle effectively to develop, deploy, and deliver AI solutions. In terms of technical skills, you are expected to have a strong proficiency in Python, Java, C++, and familiarity with machine learning frameworks like TensorFlow and PyTorch. A deep understanding of ML, Deep Learning, and NLP algorithms is also required. Proficiency in building backend services using frameworks like FastAPI, Flask, and Django, as well as full-stack development skills with JavaScript frameworks such as React and Angular, will be essential for integrating user interfaces with AI models and data solutions. Preferred technical skills include expertise in big data processing technologies like Azure Databricks and Apache Spark to handle, analyze, and process large datasets for machine learning and AI applications. Additionally, certifications such as Microsoft Certified: Azure Data Engineer Associate or Azure AI Engineer are considered advantageous. To excel in this role, you should possess strong oral and written communication skills to effectively communicate technical and non-technical concepts to peers and stakeholders. Being open to collaborative learning, able to manage project components beyond individual tasks, and having a good understanding of business objectives driving data needs will be key behavioral attributes for success. This role is suitable for individuals holding a Bachelors or Masters degree in Computer Science with 2 to 4 years of software engineering experience.,

As a Software Engineer (A2), you will be responsible for designing and developing AI-driven data ingestion frameworks and real-time processing solutions to enhance data analysis and machine learning capabilities across the full technology stack. Your duties will include deploying, maintaining, and supporting application codes and machine learning models in production environments, ensuring seamless integration with front-end and back-end systems. You will also create and enhance AI solutions that enable seamless integration and flow of data across the data ecosystem, facilitating advanced analytics and insights for end users. Additionally, you will conduct business analysis to gather requirements and develop ETL processes, scripts, and machine learning pipelines that meet technical specifications and business needs. You will be tasked with developing real-time data ingestion and stream-analytic solutions using technologies such as Kafka, Apache Spark, Python, and cloud platforms to support AI applications. Utilizing multiple programming languages and tools, including Python, Spark, Hive, Presto, Java, and JavaScript frameworks, you will build prototypes for AI models and evaluate their effectiveness and feasibility. Furthermore, you will develop application systems adhering to standard software development methodologies, ensuring robust design, programming, backup, and recovery processes to deliver high-performance AI solutions across the full stack. As part of a team rotation, you will provide system support, collaborating with other engineers to resolve issues and enhance system performance regarding both front-end and back-end components. You will operationalize open-source AI and data-analytic tools for enterprise-scale applications, aligning them with organizational needs and user interfaces. Your responsibilities will also include ensuring compliance with data governance policies by implementing and validating data lineage, quality checks, and data classification in AI projects. You will need to understand and follow the company's software development lifecycle to effectively develop, deploy, and deliver AI solutions. Designing and developing AI frameworks leveraging open-source tools and advanced data processing frameworks, integrating them with user-facing applications, will also be part of your role. You will lead the design and execution of complex AI projects, ensuring alignment with ethical guidelines and principles under the guidance of senior team members. In terms of mandatory technical skills, you should have a strong proficiency in Python, Java, C++, and familiarity with machine learning frameworks such as TensorFlow and PyTorch. An in-depth knowledge of ML, Deep Learning, and NLP algorithms is essential, along with hands-on experience in building backend services using frameworks like FastAPI, Flask, or Django. Proficiency in front-end and back-end technologies, including JavaScript frameworks like React and Angular, is required to integrate user interfaces with AI models and data solutions. Developing and maintaining data pipelines for AI applications to ensure efficient data extraction, transformation, and loading processes is also a key aspect of the role. Moreover, possessing strong oral and written communication skills to effectively convey technical and non-technical concepts to peers and stakeholders is crucial. Preferred technical skills include utilizing big data technologies such as Azure Databricks and Apache Spark, developing real-time data ingestion and stream-analytic solutions leveraging various technologies, and holding relevant certifications like Microsoft Certified: Azure Data Engineer Associate or Azure AI Engineer. The ideal candidate for this role will have a Bachelor's or Master's degree in Computer Science and 2 to 4 years of Software Engineering experience. If you are open to collaborative learning, adept at managing project components beyond individual tasks, and strive to understand business objectives driving data needs, then this role is tailored for you.,

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about Target in India At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. About the Role As a Senior RBX Data Specialist at Target in India, involves the end-to-end management of data, encompassing building and maintaining pipelines through ETL/ELT and data modeling, ensuring data accuracy and system performance, and resolving data flow issues. It also requires analyzing data to generate insights, creating visualizations for stakeholders, automating processes for efficiency, and effective collaboration across both business and technical teams. You will also answer ad-hoc questions from your business users by conducting quick analysis on relevant data, identify trends and correlations, and form hypotheses to explain the observations. Some of this will lead to bigger projects of increased complexity, where you will have to work as a part of a bigger team, but also independently execute specific tasks. Finally, you are expected to always adhere to project schedule and technical rigor as well as requirements for documentation, code versioning, etc Key Responsibilities Data Pipeline and MaintenanceMonitor data pipelines and warehousing systems to ensure optimal health and performance. Ensure data integrity and accuracy throughout the data lifecycle. Incident Management and ResolutionDrive the resolution of data incidents and document their causes and fixes, collaborating with teams to prevent recurrence. Automation and Process ImprovementIdentify and implement automation opportunities and Data Ops best practices to enhance the efficiency, reliability, and scalability of data processes. Collaboration and CommunicationWork closely with data teams and stakeholders, to understand data pipeline architecture and dependencies, ensuring timely and accurate data delivery while effectively communicating data issues and participating in relevant discussions. Data Quality and GovernanceImplement and enforce data quality standards, monitor metrics for improvement, and support data governance by ensuring policy compliance. Documentation and ReportingCreate and maintain clear and concise documentation of data pipelines, processes, and troubleshooting steps. Develop and generate reports on data operations performance and key metrics. Core responsibilities are described within this job description. Job duties may change at any time due to business needs. About You B.Tech / B.E. or equivalent (completed) degree 5+ years of relevant work experience Experience in Marketing/Customer/Loyalty/Retail analytics is preferable Exposure to A/B testing Familiarity with big data technologies, data languages and visualization tools Exposure to languages such as Python and R for data analysis and modelling Proficiency in SQL for data extraction, manipulation, and analysis, with experience in big data query frameworks such as Hive, Presto, SQL, or BigQuery Solid foundation knowledge in mathematics, statistics, and predictive modelling techniques, including Linear Regression, Logistic Regression, time-series models, and classification techniques. Ability to simplify complex technical and analytical methodologies for easier comprehension for broad audiences. Ability to identify process and tool improvements and implement change Excellent written and verbal English communication skills for Global working Motivation to initiate, build and maintain global partnerships Ability to function in group and/or individual settings. Willing and able to work from our office location (Bangalore HQ) as required by business needs and brand initiatives Useful Links- Life at Target- https://india.target.com/Benefits- https://india.target.com/life-at-target/workplace/benefitsCulture- https://india.target.com/life-at-target/belonging

You will be joining Lifesight as a Data Engineer in our Bengaluru office, playing a pivotal role in the Data and Business Intelligence organization. Your primary focus will be on leading deep data engineering projects and contributing to the growth of our data platform team. This is an exciting opportunity to shape our technical strategy and foster a strong data engineering team culture in India. As a Data Engineer at Lifesight, you will be responsible for designing and constructing data platforms and services, managing data infrastructure in cloud environments, and enabling strategic business decisions across Lifesight products. Your role will involve building highly scalable, fault-tolerant distributed data processing systems, optimizing data quality in pipelines, and owning data mapping, transformations, and business logic. You will also engage in low-level system debugging, performance optimization, and actively participate in architecture discussions to drive new projects forward. The ideal candidate for this position will possess proficiency in Python and PySpark, along with a deep understanding of Apache Spark, Spark tuning, and building data frames. Experience with big data technologies such as HDFS, YARN, Map-Reduce, Hive, Kafka, and Airflow, as well as NoSQL databases and cloud platforms like AWS and GCP, are essential. You should have at least 5 years of professional experience in data or software engineering, demonstrating expertise in data quality, data engineering, and various big data frameworks and tools. In summary, as a Data Engineer at Lifesight, you will have the opportunity to work on cutting-edge data projects, collaborate with a talented team of engineers, and contribute to the ongoing success and innovation of Lifesight's data platform.,

About The Role Skill required: Delivery - Marketing Analytics and Reporting Designation: I&F Decision Sci Practitioner Sr Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Data & AIAnalytical processes and technologies applied to marketing-related data to help businesses understand and deliver relevant experiences for their audiences, understand their competition, measure and optimize marketing campaigns, and optimize their return on investment. What are we looking for Data Analytics - with a specialization in the marketing domain*Domain Specific skills* Familiarity with ad tech and B2B sales*Technical Skills* Proficiency in SQL and Python Experience in efficiently building, publishing & maintaining robust data models & warehouses for self-ser querying, advanced data science & ML analytic purposes Experience in conducting ETL / ELT with very large and complicated datasets and handling DAG data dependencies. Strong proficiency with SQL dialects on distributed or data lake style systems (Presto, BigQuery, Spark/Hive SQL, etc.), including SQL-based experience in nested data structure manipulation, windowing functions, query optimization, data partitioning techniques, etc. Knowledge of Google BigQuery optimization is a plus. Experience in schema design and data modeling strategies (e.g. dimensional modeling, data vault, etc.) Significant experience with dbt (or similar tools), Spark-based (or similar) data pipelines General knowledge of Jinja templating in Python. Hands-on experience with cloud provider integration and automation via CLIs and APIs*Soft Skills* Ability to work well in a team Agility for quick learning Written and verbal communication Roles and Responsibilities: In this role you are required to do analysis and solving of increasingly complex problems Your day-to-day interactions are with peers within Accenture You are likely to have some interaction with clients and/or Accenture management You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments Decisions that are made by you impact your own work and may impact the work of others In this role you would be an individual contributor and/or oversee a small work effort and/or team Please note that this role may require you to work in rotational shifts Qualification Any Graduation

About the Team When 5% of Indian households shop with us, its important to build resilient systems to manage millions of orders every day. Weve done this with zero downtime! ?? Sounds impossible? Well, thats the kind of Engineering muscle that has helped Meesho become the e-commerce giant that it is today. We value speed over perfection, and see failures as opportunities to become better. Weve taken steps to inculcate a strong Founders Mindset across our engineering teams, making us grow and move fast. We place special emphasis on the continuous growth of each team member - and we do this with regular 1-1s and open communication. As Engineering Manager, you will be part of self-starters who thrive on teamwork and constructive feedback. We know how to party as hard as we work! If we arent building unparalleled tech solutions, you can find us debating the plot points of our favourite books and games or even gossipping over chai. So, if a day filled with building impactful solutions with a fun team sounds appealing to you, join us. About the Role We are looking for a seasoned Engineering Manager well-versed with emerging technologies to join our team. As an Engineering Manager, you will ensure consistency and quality by shaping the right strategies. You will keep an eye on all engineering projects and ensure all duties are fulfilled. You will analyse other employees tasks and carry on collaborations effectively. You will also transform newbies into experts and build reports on the progress of all projects. What you will do Design tasks for other engineers, keeping Meeshos guidelines and standards in mind Keep a close look on various projects and monitor the progress Drive excellence in quality across the organisation and solutioning of product problems Collaborate with the sales and design teams to create new products Manage engineers and take ownership of the project while ensuring product scalability Conduct regular meetings to plan and develop reports on the progress of projects What you will need Bachelor's / Masters in computer science At least 8+ years of professional experience At least 4+ years experience in managing software development teams Experience in building large-scale distributed Systems Experience in Scalable platforms Expertise in Java/Python/Go-Lang and multithreading Good understanding on Spark and internals Deep understanding of transactional and NoSQL DBs Deep understanding of Messaging systems Kafka Good experience on cloud infrastructure - AWS preferably Ability to drive sprints and OKRs with good stakeholder management experience. Exceptional team managing skills Experience in managing a team of 4-5 junior engineers Good understanding on Streaming and real time pipelines Good understanding on Data modelling concepts, Data Quality tools Good knowledge in Business Intelligence tools Metabase, Superset, Tableau etc. Good to have knowledge - Trino, Flink, Presto, Druid, Pinot etc. Good to have knowledge - Data pipeline building

About the Role Does digging deep for data and turning it into useful, impactful insights get you excited? Then you could be our next SDE II Data-Real Time Streaming. In this role, youll oversee your entire teams work, ensuring that each individual is working towards achieving their personal goals and Meeshos organisational goals. Moreover, youll keep an eye on all engineering projects and ensure the team is not straying from the right track. Youll also be tasked with directing programming activities, evaluating system performance, and designing new programs and features for smooth functioning. What you will do Build a platform for ingesting and processing multi terabytes of data daily Curate, build and transform raw data into scalable information Create prototypes and proofs-of-concept for iterative development Reduce technical debt with quality coding Keep a closer look at various projects and monitor the progress Carry on smooth collaborations with the sales team and engineering teams Provide management mentorship which sets the tone for holistic growth Ensure everyone is on the same page and taking ownership of the project What you will need Bachelors/Masters degree in Computer Science At least 1 to 3 years of professional experience Exceptional coding skills using Java, Scala, Python Working knowledge of Redis, MySQL and messaging systems like Kafka Knowledge of RxJava, Java Springboot, Microservices architecture Hands-on experience with the distributed systems architecture dealing with high throughput. Experience in building streaming and real-time solutions using Apache Flink/Spark Streaming/Samza. Familiarity with software engineering best practices across all stages of software development Expertise in Data system internalsStrong problem-solving and analytical skills Familiarity with Big Data systems (Spark/EMR, Hive/Impala, Delta Lake, Presto, Airflow, Data Lineage) is an advantage Familiarity with data modeling, end-to-end data pipelining, OLAP data cubes and BI tools is a plus Experience as a contributor/committer to the Big data stack is a plus Having been a contributor/committer to the big data stack Data modeling experience and end-to-end data pipelining experience is a plus Brownie points for knowledge of OLAP data cubes and BI tools

Urgent Opening for Solution Architect- Data Warehouse-Bangalore Posted On 04th Jul 2019 12:25 PM Location Bangalore Role / Position Solution Architect- Data Warehouse Experience (required) 8 Plus years Description 8-10 years experience in consulting or IT experience supporting Enterprise Data Warehouses & Business Intelligence environments, including experience with data warehouse architecture & design, ETL design/development, and Analytics. Responsiblefor defining the data strategy andfor ensuring that the programs and project align to that strategy. Provides thought leadership in following areas: -Data Access, Data Integration, Data Visualization, Data Modeling, Data Quality and Metadata management -Analytics, Data Discovery, Use Statistical methods, Database Design and Implementation Expertise in Database Appliance, RDBMS, Teradata,Netezza Hands-on experience with data architecting, data mining, large-scale data modeling, and business requirements gathering/analysis. Experience in ETL and Data Migration Tools. Direct experience in implementing enterprise data management processes, procedures, and decision support. Responsiblefor defining the data strategy andfor ensuring that the programs and project align to that strategy. Strong understanding of relational data structures, theories, principles, and practices. Strong familiarity with metadata management and associated processes. Hands-on knowledge of enterprise repository tools, data modeling tools, data mapping tools, and data profiling tools. Demonstrated expertise with repository creation, and data and information system life cycle methodologies. Experience with business requirements analysis, entity relationship planning, database design, reporting structures, and so on. Ability to manage data and metadata migration. Experience with data processing flowcharting techniques. Hands on Experience in Big Data Technologies(5 years)-Hadoop, MapReduce, MongoDB, and Integration with the Legacy environmentswould be preferred . Experience with Spark using Scala or Python is a big plus Experience in Cloud Technologies(primarily in AWS, Azure) and integration with on premise existing Data warehouse technologies. Have good knowledge on S3, Redshift, Blob Storage, Presto DB etc. Attitude to learn and adopt emerging technologies. Send Resumes to girish.expertiz@gmail.com -->Upload Resume

The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Senior Process Manager Roles and responsibilities: Understand the business model on why things are the way they are, ask relevant questions and get them clarified. Breakdown complex problems in small solvable components, to be able to identify problem areas in each component. Conduct cost/benefit analysis and feasibility studies for proposed projects to aid in decision-making. Facilitate the implementation of new or improved business processes and systems. Coordinate with business stakeholders to identify gaps in data, processes and suggest process improvements. Understand and follow the project roadmap, plan data availability and coordinate with the execution team to ensure a successful execution of projects. Prescribe suitable solutions with an understanding in limitations of toolsets and available data. Manage procurement of data from various sources and perform data audits. Fetch and analyze data from disparate sources and drive meaningful insights. Provide recommendations on the business rules for effective campaign targeting. Interpret analytical results and provide insights; present key findings and recommended next steps to clients. Develop tangible analytical projects; communicate project details to clients and internal delivery team via written documents and presentations, in forms of specifications, diagrams, and data/process models. Audit deliverables ensuring accuracy by critically examining the data and reports against requirements. Collaborate on regional/global analytic initiatives and localize inputs for country campaign practices. Actively work on audience targeting insights, optimize campaigns and improve comm governance. Technical and Functional Skills: Must Have BS/BA degree or equivalent professional experience required Degree. Minimum 8-10 years of professional experience in advanced analytics for a Fortune 500-scale company or a prominent consulting organization. Experience inData Extraction tools, Advanced Excel, CRM Analytics, Campaign Marketing, and Analytics knowledge - Campaign Analytics. Strong in numerical and analytical skills. Strong in Advanced Excel (prior experience with Google sheets is an added plus) Strong analytical and storytelling skills; ability to derive relevant insights from large reports and piles of disparate data. Comfortable working autonomously with broad guidelines. Passion for data andanalytics for marketing and eagerness to learn. Excellent communications skills, both written and spoken; ability to explain complex technical concepts in plain English. Ability to manage multiple priorities and projects, aligning teams to project timelines and ensuring quality of deliverables. Work with business teams to identify business use cases and develop solutions to meet these needs using analytical approaches. Manage regular reporting and ad-hoc data extract from other departments. Knowledge on analyzing digital campaigns and the tools/technologies of performance marketing. Experience with Google sheet/Excel. Good To Have Hands-on experience in digital marketing and/or 1:1 marketing in any channel; expert level knowledge in database marketing and CRM. Working knowledge in data visualization tools (Tableau, QlikView, etc.). Working knowledge of analytical/statistical techniques. Experience in Hadoop environment Hive, Presto is a plus. Experience in Python/R. Previous consulting experience is a definite plus.

The candidate must possess knowledge relevant to the functional area, and act as a subject matter expert in providing advice in the area of expertise, and also focus on continuous improvement for maximum efficiency. It is vital to focus on the high standard of delivery excellence, provide top-notch service quality and develop successful long-term business partnerships with internal/external customers by identifying and fulfilling customer needs. He/she should be able to break down complex problems into logical and manageable parts in a systematic way, and generate and compare multiple options, and set priorities to resolve problems. The ideal candidate must be proactive, and go beyond expectations to achieve job results and create new opportunities. He/she must positively influence the team, motivate high performance, promote a friendly climate, give constructive feedback, provide development opportunities, and manage career aspirations of direct reports. Communication skills are key here, to explain organizational objectives, assignments, and the big picture to the team, and to articulate team vision and clear objectives. Senior Process Manager Roles and responsibilities: Understand the business model on why things are the way they are, ask relevant questions and get them clarified. Breakdown complex problems in small solvable components, to be able to identify problem areas in each component. Conduct cost/benefit analysis and feasibility studies for proposed projects to aid in decision-making. Facilitate the implementation of new or improved business processes and systems. Coordinate with business stakeholders to identify gaps in data, processes and suggest process improvements. Understand and follow the project roadmap, plan data availability and coordinate with the execution team to ensure a successful execution of projects. Prescribe suitable solutions with an understanding in limitations of toolsets and available data. Manage procurement of data from various sources and perform data audits. Fetch and analyze data from disparate sources and drive meaningful insights. Provide recommendations on the business rules for effective campaign targeting. Interpret analytical results and provide insights; present key findings and recommended next steps to clients. Develop tangible analytical projects; communicate project details to clients and internal delivery team via written documents and presentations, in forms of specifications, diagrams, and data/process models. Audit deliverables ensuring accuracy by critically examining the data and reports against requirements. Collaborate on regional/global analytic initiatives and localize inputs for country campaign practices. Actively work on audience targeting insights, optimize campaigns and improve comm governance. Technical and Functional Skills: Must Have BS/BA degree or equivalent professional experience required Degree. Minimum 7+ years of professional experience in advanced analytics for a Fortune 500-scale company or a prominent consulting organization. Experience inData Extraction tools, Advanced Excel, CRM Analytics, Campaign Marketing, and Analytics knowledge Campaign Analytics. Strong in numerical and analytical skills. Strong in Advanced Excel (prior experience with Google sheets is an added plus) Strong analytical and storytelling skills; ability to derive relevant insights from large reports and piles of disparate data. Comfortable working autonomously with broad guidelines. Passion for data andanalytics for marketing and eagerness to learn. Excellent communications skills, both written and spoken; ability to explain complex technical concepts in plain English. Ability to manage multiple priorities and projects, aligning teams to project timelines and ensuring quality of deliverables. Work with business teams to identify business use cases and develop solutions to meet these needs using analytical approaches. Manage regular reporting and ad-hoc data extract from other departments. Knowledge on analyzing digital campaigns and the tools/technologies of performance marketing. Experience with Google sheet/Excel. Good To Have Hands-on experience in digital marketing and/or 1:1 marketing in any channel; expert level knowledge in database marketing and CRM. Working knowledge in data visualization tools (Tableau, QlikView, etc.). Working knowledge of analytical/statistical techniques. Experience in Hadoop environment Hive, Presto is a plus. Experience in Python/R. Previous consulting experience is a definite plus.

The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Senior Process Manager Roles and responsibilities: Understand the business model on why things are the way they are, ask relevant questions and get them clarified. Breakdown complex problems in small solvable components, to be able to identify problem areas in each component. Conduct cost/benefit analysis and feasibility studies for proposed projects to aid in decision-making. Facilitate the implementation of new or improved business processes and systems. Coordinate with business stakeholders to identify gaps in data, processes and suggest process improvements. Understand and follow the project roadmap, plan data availability and coordinate with the execution team to ensure a successful execution of projects. Prescribe suitable solutions with an understanding in limitations of toolsets and available data. Manage procurement of data from various sources and perform data audits. Fetch and analyze data from disparate sources and drive meaningful insights. Provide recommendations on the business rules for effective campaign targeting. Interpret analytical results and provide insights; present key findings and recommended next steps to clients. Develop tangible analytical projects; communicate project details to clients and internal delivery team via written documents and presentations, in forms of specifications, diagrams, and data/process models. Audit deliverables ensuring accuracy by critically examining the data and reports against requirements. Collaborate on regional/global analytic initiatives and localize inputs for country campaign practices. Actively work on audience targeting insights, optimize campaigns and improve comm governance. Technical and Functional Skills: Must Have BS/BA degree or equivalent professional experience required Degree. Minimum 8-10 years of professional experience in advanced analytics for a Fortune 500-scale company or a prominent consulting organization . Experience in Data Extraction tools, A dvanced Excel, CRM Analytics, Campaign Marketing, and Analytics knowledge - Campaign Analytics . Strong in numerical and analytical skills. Strong in Advanced Excel (prior experience with Google sheets is an added plus) Strong analytical and storytelling skills; ability to derive relevant insights from large reports and piles of disparate data. Comfortable working autonomously with broad guidelines. Passion for data andanalytics for marketing and eagerness to learn. Excellent communications skills, both written and spoken; ability to explain complex technical concepts in plain English. Ability to manage multiple priorities and projects, aligning teams to project timelines and ensuring quality of deliverables. Work with business teams to identify business use cases and develop solutions to meet these needs using analytical approaches. Manage regular reporting and ad-hoc data extract from other departments. Knowledge on analyzing digital campaigns and the tools/technologies of performance marketing. Experience with Google sheet/Excel. Good To Have Hands-on experience in digital marketing and/or 1:1 marketing in any channel; expert level knowledge in database marketing and CRM. Working knowledge in data visualization tools (Tableau, QlikView, etc.). Working knowledge of analytical/statistical techniques. Experience in Hadoop environment Hive, Presto is a plus. Experience in Python/R. Previous consulting experience is a definite plus.

Working Mode : Hybrid Payroll: IDESLABS Location : Pan India PF Detection is mandatory Job Description: Key Responsibilities: Work on AS400 with expertise in I5250 and Presto for inventory and order fulfillment. Utilize modern RPG techniques including RPG, RPGLE , and Embedded SQL . Design and develop applications using RPG, RPGLE, CL400, and CLLE . Perform database design and development on DB2/400 , ensuring efficient query execution and optimization. Develop and troubleshoot applications using AS400 tools like SDA, RLU, and PDM . Write and optimize complex SQL queries for embedded and interactive sessions. Perform end-to-end unit testing , debug interactive and batch jobs, and ensure seamless functionality of applications. Collaborate directly with client teams to gather business requirements and deliver appropriate solutions. Maintain and enhance existing applications, ensuring smooth operations and performance. Work with one or more change management tools such as Aldon, Turnover, or Thenon (preferred). Be adaptable to switching between tasks, handling both development and maintenance activities.

Key Responsibilities Work on AS400 with expertise in I5250 and Presto for inventory and order fulfillment. Utilize modern RPG techniques including RPG, RPGLE , and Embedded SQL . Design and develop applications using RPG, RPGLE, CL400, and CLLE . Perform database design and development on DB2/400 , ensuring efficient query execution and optimization. Develop and troubleshoot applications using AS400 tools like SDA, RLU, and PDM . Write and optimize complex SQL queries for embedded and interactive sessions. Perform end-to-end unit testing , debug interactive and batch jobs, and ensure seamless functionality of applications. Collaborate directly with client teams to gather business requirements and deliver appropriate solutions. Maintain and enhance existing applications, ensuring smooth operations and performance. Work with one or more change management tools such as Aldon, Turnover, or Thenon (preferred). Be adaptable to switching between tasks, handling both development and maintenance activities.

Immediate Openings on # AS400 Developer _ Pan India_ Contract #Skill:AS400 Developer #Notice Period:Immediate #Employment Type: Contract Work on AS400 with expertise in I5250 and Presto for inventory and order fulfillment. Utilize modern RPG techniques including RPG, RPGLE , and Embedded SQL . Design and develop applications using RPG, RPGLE, CL400, and CLLE . Perform database design and development on DB2/400 , ensuring efficient query execution and optimization. Develop and troubleshoot applications using AS400 tools like SDA, RLU, and PDM . Write and optimize complex SQL queries for embedded and interactive sessions. Perform end-to-end unit testing , debug interactive and batch jobs, and ensure seamless functionality of applications. Collaborate directly with client teams to gather business requirements and deliver appropriate solutions. Maintain and enhance existing applications, ensuring smooth operations and performance. Work with one or more change management tools such as Aldon, Turnover, or Thenon (preferred). Be adaptable to switching between tasks, handling both development and maintenance activities.