Top skill - Java Fullstack , Good knowledge / autonomous on technical stack Java / Spring / Database/ MessagingThe developer must have good experience on microservices / API development (backend – java 8+, Spring, SQL/NoSQL Database, JPA ). Candidate to have good communication and analytical skill. Must have used message oriented architecture, Kafka. UI unit testing using Junit/Mockito. Quality control using SonarQube.Exposure to cloud technology is added advantage. Good knowledge of CICD (DevOps) and different tools.
· 3+ years of experience in developing and designing data pipelines for Data Warehouse, Data Lake Experienced at data modelling and database design Responsibilities Create and maintain optimal data pipeline architecture, Assemble large, complex data sets that meet functional / non-functional business requirements. Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. Create data tools for analytics and data scientist team members that assist them in building and optimizing the product. Work with data and analytics experts for continuous improvements to data landscape. Skills In-depth understanding of database structure principles Experience in ETL tools and data warehouse design principles Experience with GCP cloud data provider landscape (Big Query, CloudSQL) Experience with any NO-SQL database implementation and design principles Familiarity with Big Data processing and streaming data architecture and implementation Familiarity with a scripting language like Python Expertise in writing and debugging complex SQL statements Proven analytical skills
5 years of experience in Business Intelligence development. Experience with MicroStrategy toolset: Desktop, Report Services, Architect, OLAP, Administrator Strong experience in design, creation, and deployment of reports and dashboards Experience with designing reusable MicroStrategy components for business reporting Excellent communication skills to interact with users at various levels within the organization. Strong SQL skills to perform queries, data/file validation, analysis, profiling, etc, as needed Creating and maintaining documentation is a plus Ability to work collaboratively in teams and develop meaningful relationships to achieve common goals. Experience with ETL and Collibra is a plus Previous experience in the banking industry is preferred
JD 5 years of experience in Business Intelligence development. Experience with MicroStrategy toolset: Desktop, Report Services, Architect, OLAP, Administrator Strong experience in design, creation, and deployment of reports and dashboards Experience with designing reusable MicroStrategy components for business reporting Excellent communication skills to interact with users at various levels within the organization. Strong SQL skills to perform queries, data/file validation, analysis, profiling, etc, as needed Creating and maintaining documentation is a plus Ability to work collaboratively in teams and develop meaningful relationships to achieve common goals. Experience with ETL and Collibra is a plus Previous experience in the banking industry is preferred
Job Description This requirement is to service our client which is a leading big data technology company that measures what viewers consume across platforms to enable marketers make better advertising decisions. We are seeking a Senior Data Operations Analyst to mine large-scale datasets for our client. Their work will have a direct impact on driving business strategies for prominent industry leaders. Self-motivation and strong communication skills are both must-haves. Ability to work in a fast-paced work environment is desired. Problems being solved by our client: Measure consumer usage of devices linked to the internet and home networks including computers, mobile phones, tablets, streaming sticks, smart TVs, thermostats and other appliances. There are more screens and other connected devices in homes than ever before, yet there have been major gaps in understanding how consumers interact with this technology. Our client uses a measurement technology to unravel dynamics of consumers’ interactions with multiple devices. Duties and responsibilities: The successful candidate will contribute to the development of novel audience measurement and demographic inference solutions. Develop, implement, and support statistical or machine learning methodologies and processes. Build, test new features and concepts and integrate into production process Participate in ongoing research and evaluation of new technologies Exercise your experience in the development lifecycle through analysis, design, development, testing and deployment of this system Collaborate with teams in Software Engineering, Operations, and Product Management to deliver timely and quality data. You will be the knowledge expert, delivering quality data to our clients Qualifications: 3-5 years relevant work experience in areas as outlined below Experience in extracting data using SQL from large databases Experience in writing complex ETL processes and frameworks for analytics and data management. Must have experience in working on ETL tools. Master’s degree or PhD in Statistics, Data Science, Economics, Operations Research, Computer Science, or a similar degree with a focus on statistical methods. A Bachelor’s degree in the same fields with significant, demonstrated professional research experience will also be considered. Programming experience in scientific computing language (R, Python, Julia) and the ability to interact with relational data (SQL, Apache Pig, SparkSQL). General purpose programming (Python, Scala, Java) and familiarity with Hadoop is a plus. Excellent verbal and written communication skills. Experience with TV or digital audience measurement or market research data is a plus. Familiarity with systems analysis or systems thinking is a plus. Must be comfortable with analyzing complex, high-volume and high-dimension data from varying sources Excellent verbal, written and computer communication skills Ability to engage with Senior Leaders across all functional departments Ability to take on new responsibilities and adapt to changes
JD of Data EngineerAs a Data Engineer, you are a full-stack data engineer that loves solving business problems.You work with business leads, analysts and data scientists to understand the business domainand engage with fellow engineers to build data products that empower better decision making.You are passionate about data quality of our business metrics and flexibility of your solution thatscales to respond to broader business questions.If you love to solve problems using your skills, then come join the Team Searce. We have acasual and fun office environment that actively steers clear of rigid "corporate" culture, focuseson productivity and creativity, and allows you to be part of a world-class team while still beingyourself.What You’ll Do● Understand the business problem and translate these to data services and engineeringoutcomes● Explore new technologies and learn new techniques to solve business problemscreatively● Think big! and drive the strategy for better data quality for the customers● Collaborate with many teams - engineering and business, to build better data productsWhat We’re Looking For● Over 1-3 years of experience with○ Hands-on experience of any one programming language (Python, Java, Scala)○ Understanding of SQL is must○ Big data (Hadoop, Hive, Yarn, Sqoop)○ MPP platforms (Spark, Pig, Presto)○ Data-pipeline & scheduler tool (Ozzie, Airflow, Nifi)○ Streaming engines (Kafka, Storm, Spark Streaming)○ Any Relational database or DW experience○ Any ETL tool experience● Hands-on experience in pipeline design, ETL and application development
Key skills:Informatica PowerCenter, Informatica Change Data Capture, Azure SQL, Azure Data Lake Job Description Minimum of 15 years of Experience with Informatica ETL, Database technologies Experience with Azure database technologies including Azure SQL Server, Azure Data Lake Exposure to Change data capture technology Lead and guide development of an Informatica based ETL architecture. Develop solution in highly demanding environment and provide hands on guidance to other team members. Head complex ETL requirements and design. Implement an Informatica based ETL solution fulfilling stringent performance requirements. Collaborate with product development teams and senior designers to develop architectural requirements for the requirements. Assess requirements for completeness and accuracy. Determine if requirements are actionable for ETL team. Conduct impact assessment and determine size of effort based on requirements. Develop full SDLC project plans to implement ETL solution and identify resource requirements. Perform as active, leading role in shaping and enhancing overall ETL Informatica architecture and Identify, recommend and implement ETL process and architecture improvements. Assist and verify design of solution and production of all design phase deliverables. Manage build phase and quality assure code to ensure fulfilling requirements and adhering to ETL architecture.
What is Contentstack? Contentstack combines the best Content Management System (CMS) and Digital Experience Platform (DXP) technology. It enables enterprises to manage content across all digital channels and create inimitable digital experiences. The Contentstack platform was designed from the ground up for large-scale, complex, and mission-critical deployments. Recently recognized as the Gartner PeerInsights Customers' Choice for WCM, Contentstack is the preferred API-first, headless CMS for enterprises across the globe. What Are We Looking For? Contentstack is looking for a Data Engineer. Roles and responsibilities: Primary responsibilities included designing and scaling ETL pipelines, and ensuring data sanity. Collaborate with multiple groups and produce operational efficiency Develop, construct, test and maintain architectures Align architecture with business requirements Identify ways to improve data reliability, efficiency and quality Optimize database systems for performance and reliability Implementation of model workflows to prepare/analyse/learn/predict and supply the outcomes through API contract(s) Establishing programming patterns, documenting components and provide infrastructure for analysis and execution Set up practices on data reporting and continuous monitoring Provide excellence, open to new ideas and contribute to communities Industrialise the data science models and embed intelligence in product & business applications Find hidden patterns using data Prepare data for predictive and prescriptive modeling Deploy sophisticated analytics programs, machine learning and statistical methods Mandatory Skills 3+ relevant work experience as a Data Engineer Working experience in HDFS, Big table, MR, Spark, Data warehouse, ETL etc.. Advanced proficiency in Java,Scala, SQL, NoSQL Strong knowledge in Shell/Perl/R/Python/Ruby Proficiency in Statistical procedures, Experiments and Machine Learning techniques. Exceptional problem solving abilities Job type – Full time employment Job location – Mumbai/ Pune/ Bangalore/Remote Work schedule – Monday to Friday, 10am to 7pm Minimum qualification – Graduate. Years of experience – 3 + yearsNo of position - 2 Travel opportunities - On need basis within/outside India. Candidate should have valid passport What Really Gets Us Excited About You? Experience in working with product based start-up companies Knowledge of working with SAAS products. What Do We Offer? Interesting Work | We hire curious trendspotters and brave trendsetters. This is NOT your boring, routine, cushy, rest-and-vest corporate job. This is the “challenge yourself” role where you learn something new every day, never stop growing, and have fun while you’re doing it. Tribe Vibe | We are more than colleagues, we are a tribe. We have a strict “no a**hole policy” and enforce it diligently. This means we spend time together - with spontaneous office happy hours, organized outings, and community volunteer opportunities. We are a diverse and distributed team, but we like to stay connected. Bragging Rights | We are dreamers and dream makers, hustlers, and honeybadgers. Our efforts pay off and we work with the most prestigious brands, from big-name retailers to airlines, to professional sports teams. Your contribution will make an impact with many of the most recognizable names in almost every industry including Chase, The Miami HEAT, Cisco, Shell, Express, Riot Games, IcelandAir, Morningstar, and many more! A Seat at the Table | One Team One Dream is one of our values, and it shows. We don’t believe in artificial hierarchies. If you’re part of the tribe, you get a seat at the table. This includes unfiltered access to our C-Suite and regular updates about the business and its performance. Which, btw, is through the roof, so it’s a great time to be joining…
What's the role? Your role as a Principal Engineer will involve working with various team. As a principal engineer, will need full knowledge of the software development lifecycle and Agile methodologies. You will demonstrate multi-tasking skills under tight deadlines and constraints. You will regularly contribute to the development of work products (including analyzing, designing, programming, debugging, and documenting software) and may work with customers to resolve challenges and respond to suggestions for improvements and enhancements. You will setup the standard and principal for the product he/she drives. Setup coding practice, guidelines & quality of the software delivered. Determines operational feasibility by evaluating analysis, problem definition, requirements, solution development, and proposed solutions. Documents and demonstrates solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code. Prepares and installs solutions by determining and designing system specifications, standards, and programming. Improves operations by conducting systems analysis; recommending changes in policies and procedures. Updates job knowledge by studying state-of-the-art development tools, programming techniques, and computing equipment; participating in educational opportunities; reading professional publications; maintaining personal networks; participating in professional organizations. Protects operations by keeping information confidential. Develops software solutions by studying information needs; conferring with users; studying systems flow, data usage, and work processes; investigating problem areas; following the software development lifecycle. Who are you? You are a go-getter, with an eye for detail, strong problem-solving and debugging skills, and having a degree in BE/MCA/M.E./ M Tech degree or equivalent degree from reputed college/university. Essential Skills / Experience: 10+ years of engineering experience Experience in designing and developing high volume web-services using API protocols and data formats Proficient in API modelling languages and annotation Proficient in Java programming Experience with Scala programming Experience with ETL systems Experience with Agile methodologies Experience with Cloud service & storage Proficient in Unix/Linux operating systems Excellent oral and written communication skills Preferred: Functional programming languages (Scala, etc) Scripting languages (bash, Perl, Python, etc) Amazon Web Services (Redshift, ECS etc)