About BlackHawk Network:Blackhawk Network is building a digital platform and products that bring people and brands together. We facilitate cross channel payments via cash-in, cash-out and mobile payments. By leveraging blockchain, smart contracts, serverless technology, real time payment systems, we are unlocking the next million users through innovation. Our employees are our biggest assets! Come find out how we engage, with the biggest brands in the world. We look for people who collaborate, who are inspirational, who have passion that can make a difference by working as a team while striving for global excellence. You can expect a strong investment in your professional growth, and a dedication to crafting a successful, sustainable career for you. Our teams are composed of highly talented and passionate 'A' players, who are also invested in mentoring and enabling the best qualities. Our vibrant culture and high expectations will kindle your passion and bring out the best in you! As a leader in branded payments, we are building a strong diverse team and expanding in ASIA PACIFIC –we are hiring in Bengaluru, India! This is an amazing opportunity for problem solvers who want to be a part of an innovative and creative Engineering team that values your contribution to the company. If this role has your name written all over it, please contact us apply now with a resume so that we explore further and get connected. If you enjoy building world class payment applications, are highly passionate about pushing the boundaries of scale and availability on the cloud, leveraging the next horizon technologies, rapidly deliver features to production, make data driven decisions on product development, collaborate and innovate with like-minded experts, then this would be your ideal job. Blackhawk is seeking passionate backend engineers at all levels to build our next generation of payment systems on a public cloud infrastructure. Our team enjoys working together to contribute to meaningful work seen by millions of merchants worldwide.As a Senior SDET, you will work closely with data engineers to automate developed features and manual testing of the new data ETL Jobs, Data pipelines and Reports. You will be responsible for owning the complete architecture of automation framework and planning and designing automation for data ingestion, transformation and Reporting/Visualization. You will be building high-quality automation frameworks to cover end to end testing of the data platforms and ensure test data setup and pre-empt post production issues by high quality testing in the lower environments. You will get an opportunity to contribute at all levels of the test pyramid. You will also work with customer success and product teams to replicate post-production release issues. Key Qualifications Bachelor’s degree in Computer Science, Engineering or related fields 5+ years of experience testing data ingestion, visualization and info delivery systems. Real passion for data quality, reconciliation and uncovering hard to find scenarios and bugs. Proficiency in at least one programming language (preferably Python/Java) Expertise in end to end ETL (E.g. DataStage, Matillion) and BI platforms (E.g. MicroStrategy, PowerBI) testing and data validation Experience working with big data technologies such as Hadoop and MapReduce is desirable Excellent analytical, problem solving and communication skills. Self-motivated, results oriented and deadline driven. Experience with databases and data visualization and dashboarding tools would be desirable Experience working with Amazon Web Services (AWS) and Redshift is desirable Excellent knowledge of Software development lifecycle, testing Methodologies, QA terminology, processes, and tools Experience with automation using automation frameworks and tools, such as TestNG, JUnit and Selenium
About the Role If you are interested in building large scale data pipelines that impacts how Uber makes decisions about Rider lifecycle and experience, join the Rider Data Platform team. Uber collects petabyte scale analytics data from the different Ride booking apps. Help us build the software systems and data models that will enable data scientists reason about user behavior and build models for consumption by different rider facing program teams. What You'll Do Identify unified data models collaborating with Data Science teams Streamline data processing of the original event sources and consolidate them in source of truth event logs Build and maintain real-time/batch data pipelines that can consolidate and clean up usage analytics Build systems that monitor data losses from the mobile sources Devise strategies to consolidate and compensate the data losses by correlating different sources Solve challenging data problems with cutting edge design and algorithms What You'll Need 4+ years experience in a competitive engineering environment Design: Knowledge of data structures and an eye for design. You can discuss the tradeoff between design choices, both on a theoretical level and on an applied level. Strong coding/debugging abilities: You have advanced knowledge of at least one programming language, and are happy to learn more. Our core languages are Java, Python, and Scala. Big data: Experience with Distributed systems such as Hadoop, Hive, Spark, Kafka is preferred. Data pipeline: Strong understanding in SQL, Database. Experience in building data pipelines is a great plus. Love getting your hands dirty with the data implementing custom ETLs to shape it into information. A team player: You believe that you can achieve more on a team that the whole is greater than the sum of its parts. You rely on others' candid feedback for continuous improvement. Business acumen: You understand requirements beyond the written word. Whether you're working on an API used by other developers, an internal tool consumed by our operation teams, or a feature used by millions of customers, your attention to details leads to a delightful user experience. About the Team Rider Data Platform team is a relatively new team tasked with shaping up the future architecture of Uber's Rider Data Stack. We are a bunch of engineers passionate about helping Uber grow by focusing our energy on building the next gen data platform to provide insights to the global Rider data in the most optimal manner. This would be instrumental in identifying gaps in the current implementation as well as formulating the key strategies for overall Rider experience. Uber At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world. 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.
We are looking for an experienced and self-driven Technical Support Engineer to join our team! If you are passionate about learning and gaining new skills in this field, don't miss this opportunity! Why join TVS Next We help our clients reimagine, design and develop software to make this world a better place. Our missions are bold and hence we are on constant look out for people who are exemplary and want to build the future with us. What you’ll do Research and identify solutions to software issues Diagnose and troubleshoot technical issues and network configuration Ask customers targeted questions to quickly understand the root of the problem Track computer system issues through to resolution, within agreed time limits Talk clients through a series of actions, either via phone, email or chat, until they’ve solved a technical issue Properly escalate unresolved issues to appropriate internal teams (e.g. software developers) Provide prompt and accurate feedback Refer to internal database or external resources to provide accurate tech solutions Prioritize and manage several open issues at one time Follow up with clients to ensure their IT systems are fully functional after troubleshooting Prepare accurate and timely reports Things you’ll need 3+ years’ experience in solution integration/delivering, testing, and interfacing with customers. Exceptional organizational skills, meticulous attention to detail, and the ability to maintain focus in fast paced environment. Ability to thoroughly document the custom solution down to API calls. Formulate and execute integration tests, load tests, and performance tests. Strong knowledge of APIs, SDKs, scripting, and ETL. Understanding of Web Services, Internet architecture, SQL, and software development. Self-motivated and self-managed with a high degree of dependability. Excellent communication skills. Bachelor's degree in Computer Science or other supportive program, or commensurate technology industry experience preferred. Tech Skills SQL (comfortable with database & query language) Strong with UNIX / Linux command line environment Understand what is an API / webservice; should be able to use Postman ETL , NiFi ETL experience is mandatory (NiFi preferable) AWS experience is a plus SFDC, ROR experience is an added advantage Non Tech Skills Should have excellent communication skills – verbal & written
Job Description We are looking for a Data Engineer that will be responsible for collecting, storing, processing, and analyzing huge sets of data that is coming from different sources. Responsibilities Working with Big Data tools and frameworks to provide requested capabilities Identify development needs in order to improve and streamline operations Develop and manage BI solutions Implementing ETL process and Data Warehousing Monitoring performance and managing infrastructure Skills Proficient understanding of distributed computing principles Proficiency with Hadoop and Spark Experience with building stream-processing systems, using solutions such as Kafka and Spark-Streaming Good knowledge of Data querying tools SQL and Hive Knowledge of various ETL techniques and frameworks Experience with Python/Java/Scala (at least one) Experience with cloud services such as AWS or GCP Experience with NoSQL databases, such as DynamoDB,MongoDB will be an advantage Excellent written and verbal communication skills
Strong exposure in ETL / Big Data / Talend / Hadoop / Spark / Hive / Pig To be considered as a candidate for a Senior Data Engineer position, a person must have a proven track record of architecting data solutions on current and advanced technical platforms. They must have leadership abilities to lead a team providing data centric solutions with best practices and modern technologies in mind. They look to build collaborative relationships across all levels of the business and the IT organization. They possess analytic and problem-solving skills and have the ability to research and provide appropriate guidance for synthesizing complex information and extract business value. Have the intellectual curiosity and ability to deliver solutions with creativity and quality. Effectively work with business and customers to obtain business value for the requested work. Able to communicate technical results to both technical and non-technical users using effective story telling techniques and visualizations. Demonstrated ability to perform high quality work with innovation both independently and collaboratively.
Exciting opportunity for any contractor to work with a start-up firm which is into product cum service based industry. We are looking for someone who has got rich experience in below mentioned skills to join us immediately.This role is for 1 month where the person will be working from Client site in Paris to understand the system architecture and documenting them. Contract extension for this role will be purely on the performance of individual. Since the requirement is immediate and critical, we need someone who can join us soon and travel to Paris in December- Hands on experience handling multiple data sources/datasets- experience in data/BI architect role- Expert on SSIS, SSRS, SSAS- Should have knowledge writing MDX queries- Technical document preparation- Should have excellent communication- Process oriented- Strong project management- Should be able to think Out of the Box and provide ideas to have better solutions- Outstanding team player with positive attitude
Who we are? Searce is a Cloud, Automation & Analytics led business transformation company focussed on helping futurify businesses. We help our clients become successful by helping reimagine ‘what's next’ and then enabling them to realize that ‘now’. We processify, saasify, innovify & futurify businesses by leveraging Cloud | Analytics | Automation | BPM. What we believe? Best practices are overrated Implementing best practices can only make one ‘average’. Honesty and Transparency We believe in naked truth. We do what we tell and tell what we do. Client Partnership Client - Vendor relationship: No. We partner with clients instead. And our sales team comprises of 100% of our clients. How we work? It’s all about being Happier first. And rest follows. Searce work culture is defined by HAPPIER. Humble: Happy people don’t carry ego around. We listen to understand; not to respond. Adaptable: We are comfortable with uncertainty. And we accept changes well. As that’s what life's about. Positive: We are super positive about work & life in general. We love to forget and forgive. We don’t hold grudges. We don’t have time or adequate space for it. Passionate: We are as passionate about the great vada-pao vendor across the street as about Tesla’s new model and so on. Passion is what drives us to work and makes us deliver the quality we deliver. Innovative: Innovate or Die. We love to challenge the status quo. Experimental: We encourage curiosity & making mistakes. Responsible: Driven. Self-motivated. Self-governing teams. We own it. We welcome *really unconventional* creative thinkers who can work in an agile, flexible environment. We are a flat organization with unlimited growth opportunities, and small team sizes – wherein flexibility is a must, mistakes are encouraged, creativity is rewarded, and excitement is required. Introduction When was the last time you thought about rebuilding your smartphone charger using solar panels on your backpack OR changed the sequencing of switches in your bedroom (on your own, of course) to make it more meaningful OR pointed out an engineering flaw in the sequencing of traffic signal lights to a fellow passenger, while he gave you a blank look? If the last time this happened was more than 6 months ago, you are a dinosaur for our needs. If it was less than 6 months ago, did you act on it? If yes, then let’s talk. We are quite keen to meet you if: You eat, dream, sleep and play with Cloud Data Store & engineering your processes on cloud architecture You have an insatiable thirst for exploring improvements, optimizing processes, and motivating people. You like experimenting, taking risks and thinking big. 3 things this position is NOT about: This is NOT just a job; this is a passionate hobby for the right kind. This is NOT a boxed position. You will code, clean, test, build and recruit and you will feel that this is not really ‘work’. This is NOT a position for people who like to spend time on talking more than the time they spend doing. 3 things this position IS about: Attention to detail matters. Roles, titles, the ego does not matter; getting things done matters; getting things done quicker and better matters the most. Are you passionate about learning new domains & architecting solutions that could save a company millions of dollars? Roles and Responsibilities Drive and define database design and development of real-time complex products. Strive for excellence in customer experience, technology, methodology, and execution. Define and own end-to-end Architecture from definition phase to go-live phase. Define reusable components/frameworks, common schemas, standards to be used & tools to be used and help bootstrap the engineering team. Performance tuning of application and database and code optimizations. Define database strategy, database design & development standards and SDLC, database customization & extension patterns, database deployment and upgrade methods, database integration patterns, and data governance policies. Architect and develop database schema, indexing strategies, views, and stored procedures for Cloud applications. Assist in defining scope and sizing of work; analyze and derive NFRs, participate in proof of concept development. Contribute to innovation and continuous enhancement of the platform. Define and implement a strategy for data services to be used by Cloud and web-based applications. Improve the performance, availability, and scalability of the physical database, including database access layer, database calls, and SQL statements. Design robust cloud management implementations including orchestration and catalog capabilities. Architect and design distributed data processing solutions using big data technologies - added advantage. Demonstrate thought leadership in cloud computing across multiple channels and become a trusted advisor to decision-makers. Desired Skills Experience with Data Warehouse design, ETL (Extraction, Transformation & Load), architecting efficient software designs for DW platform. Hands-on experience in Big Data space (Hadoop Stack like M/R, HDFS, Pig, Hive, HBase, Flume, Sqoop, etc. Knowledge of NoSQL stores is a plus). Knowledge of other transactional Database Management Systems/Open database system and NoSQL database (MongoDB, Cassandra, Hbase etc.) is a plus. Good knowledge of data management principles like Data Architecture, Data Governance, Very Large Database Design (VLDB), Distributed Database Design, Data Replication, and High Availability. Must have experience in designing large-scale, highly available, fault-tolerant OLTP data management systems. Solid knowledge of any one of the industry-leading RDBMS like Oracle/SQL Server/DB2/MySQL etc. Expertise in providing data architecture solutions and recommendations that are technology-neutral. Experience in Architecture consulting engagements is a plus. Deep understanding of technical and functional designs for Databases, Data Warehousing, Reporting, and Data Mining areas. Education & Experience Bachelors in Engineering or Computer Science (preferably from a premier School) - Advanced degree in Engineering, Mathematics, Computer or Information Technology. Highly analytical aptitude and a strong ‘desire to deliver’ outlives those fancy degrees! More so if you have been a techie from 12. 2-5 years of experience in database design & development 0- Years experience of AWS or Google Cloud Platform or Hadoop experience Experience working in a hands-on, fast-paced, creative entrepreneurial environment in a cross-functional capacity.
Critical Tasks and Expected Contributions/Results : The role will be primarily focused on the design, development and testing of ETL workflows (using Talend) as well as the batch management and error handling processes. Build Business Intelligence Applications using tools like Power BI. Additional responsibilities include the documentation of technical specifications and related project artefacts. - Gather requirement and propose possible ETL solutions for in-house designed Data Warehouse - Analyze & translate functional specifications & change requests into technical specifications. - Design and Creating star schema data models - Design, Build and Implement Business Intelligence Solutions using Power BI - Develop, implement & test ETL program logic. - Deployment and support any related issues Key Competency : - A good understanding of the concepts and best practices of data warehouse ETL design and be able to apply these suitably to solve specific business needs. - Expert knowledge of ETL tool like Talend - Have more than 8 years experience in designing and developing ETL work packages, and be able to demonstrate expertise in ETL tool- Talend - Knowledge of BI tools like Power BI is required - Ability to follow functional ETL specifications and challenge business logic and schema design where appropriate, as well as manage their time effectively. - Exposure to Performance tuning is essential - Good organisational skills. - Methodical and structured approach to design and development. - Good interpersonal skills.
candidate will be responsible for all aspects of data acquisition, data transformation, and analytics scheduling and operationalization to drive high-visibility, cross-division outcomes. Expected deliverables will include the development of Big Data ELT jobs using a mix of technologies, stitching together complex and seemingly unrelated data sets for mass consumption, and automating and scaling analytics into the GRAND's Data Lake. Key Responsibilities : - Create a GRAND Data Lake and Warehouse which pools all the data from different regions and stores of GRAND in GCC - Ensure Source Data Quality Measurement, enrichment and reporting of Data Quality - Manage All ETL and Data Model Update Routines - Integrate new data sources into DWH - Manage DWH Cloud (AWS/AZURE/Google) and Infrastructure Skills Needed : - Very strong in SQL. Demonstrated experience with RDBMS, Unix Shell scripting preferred (e.g., SQL, Postgres, Mongo DB etc) - Experience with UNIX and comfortable working with the shell (bash or KRON preferred) - Good understanding of Data warehousing concepts. Big data systems : Hadoop, NoSQL, HBase, HDFS, MapReduce - Aligning with the systems engineering team to propose and deploy new hardware and software environments required for Hadoop and to expand existing environments. - Working with data delivery teams to set up new Hadoop users. This job includes setting up Linux users, setting up and testing HDFS, Hive, Pig and MapReduce access for the new users. - Cluster maintenance as well as creation and removal of nodes using tools like Ganglia, Nagios, Cloudera Manager Enterprise, and other tools. - Performance tuning of Hadoop clusters and Hadoop MapReduce routines. - Screen Hadoop cluster job performances and capacity planning - Monitor Hadoop cluster connectivity and security - File system management and monitoring. - HDFS support and maintenance. - Collaborating with application teams to install operating system and - Hadoop updates, patches, version upgrades when required. - Defines, develops, documents and maintains Hive based ETL mappings and scripts