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Lead Data Engineer

What are we looking for

real solver?

Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.

Your Responsibilities

What you will wake up to solve.

• Lead Technical Design & Data Architecture: Architect and lead the end-to-end development of scalable, cloud-native data platforms. You’ll guide the squad on critical architectural decisions—choosing between Batch vs. Streaming or ETL vs. ELT—while remaining 100% hands-on, contributing high-quality, production-grade code.
• Build High-Velocity Data Pipelines: Drive the implementation of robust data transports and ingestion frameworks using Python, SQL, and Spark. You will build integration layers that connect heterogeneous sources (SaaS, RDBMS, NoSQL) into unified, high-availability environments like BigQuery, Snowflake, or Redshift.
• Mentor & Elevate the Squad: Foster a culture of technical excellence by mentoring and inspiring a team of data analysts and engineers. Lead deep-dive code reviews, promote best-practice data modeling (Star/Snowflake schema), and ensure the squad adopts modern engineering standards like CI/CD for data.
• Drive AI-Ready Data Strategy: Be the expert in designing data foundations optimized for AI and Machine Learning. You will champion the use of GCP (Dataflow, Pub/Sub, BigQuery) and AWS (Lambda, Glue, EMR) to create "clean room" environments that fuel advanced analytics and generative AI models.
• Partner with Clients as a Technical DRI: Act as the Directly Responsible Individual for client success. Translate ambiguous business questions into elegant data services, manage project deliverables using Agile methodologies, and ensure that the data provided is accurate, consistent, and mission-critical.
• Troubleshoot & Optimize for Scale: Own the reliability of the reporting layer. You will proactively monitor pipelines, troubleshoot complex transformation bottlenecks, and propose ways to improve platform performance and cost-efficiency.
• Innovate and Build Reusable IP: Spearhead the creation of reusable data frameworks, custom operators, and transformation libraries that accelerate future projects and establish Searce’s unique technical advantage in the market.

Welcome to Searce

The AI-Native tech consultancy that's rewriting the rules.

Searce is an AI-native, engineering-led, modern tech consultancy that empowers clients to futurify their business by delivering intelligent, impactful, real business outcomes. Searce solvers co-innovate with clients as their trusted transformational partners ensuring sustained competitive advantage. Searce clients realize smarter, faster, better business outcomes delivered by AI-native Searce solver squads. 

Functional Skills 

the solver personas.

• The Data Architect: This persona deconstructs ambiguous business goals into scalable, elegant data blueprints. They don't just move data; they design the foundation—from schema design to partitioning strategies—that allows data scientists and analysts to thrive, foreseeing technical bottlenecks and making pragmatic trade-offs.
• The Player-Coach: As a hands-on leader, this persona leads from the front by writing exemplary, production-grade SQL and Python while simultaneously mentoring and elevating the skills of the squad. Their success is measured by the team's ability to deliver high-quality, maintainable code and their growth as engineers.
• The Pragmatic Innovator: This individual balances a passion for modern data tech (like Generative AI and Real-time Streaming) with a sharp focus on business outcomes. They champion new tools where they add real value but are disciplined enough to choose stable, cost-effective solutions to meet deadlines and deliver robust products.
• The Client-Facing Technologist: This persona acts as the crucial technical bridge between the data squad and the client. They build trust by listening actively, explaining complex data concepts (like data latency or idempotency) in simple terms, and demonstrating how engineering decisions align with the client’s strategic goals.
• The Quality Craftsman: This individual possesses an unwavering commitment to data integrity and treats data engineering as a craft. They are the guardian of the reporting layer, advocating for robust testing, data validation frameworks, and clean, modular code to ensure the long-term reliability of the data platform.

Experience & Relevance 

• Engineering Depth: 7-10 years of professional experience in end-to-end data product development. You have a portfolio that proves your ability to build complex, high-velocity pipelines for both Batch and Streaming workloads.
• Cloud-Native Fluency: Deep, hands-on experience designing and deploying scalable data solutions on at least one major cloud platform (AWS, GCP, or Azure). You are comfortable navigating the nuances of EMR, BigQuery, or Synapse at scale.
• AI-Native Workflow: You don’t just build for AI; you build with AI. You must be proficient in using AI coding assistants (e.g., GitHub Copilot) to accelerate your delivery and have a track record of building the data foundations required for Generative AI.
• Architectural Portfolio: Evidence of leading 2-3 large-scale transformations—including platform migrations, data lakehouse builds, or real-time analytics architectures.
• Client-Facing Acumen: You have direct experience in a consultative, client-facing role. You can confidently translate a CEO’s business vision into a Lead Engineer’s technical specification without losing anything in translation.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

Director - Data engineering

What are we looking for

real solver?

Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.

Your Responsibilities

what you will wake up to solve.

1. Delivery & Tactical Rigor

• Methodology Implementation: Implement and manage a unified, 'DataOps-First' methodology for data engineering delivery (ETL/ELT pipelines, Data Modeling, MLOps, Data Governance) within assigned business units. This ensures predictable outcomes and trusted data integrity by reducing architecture variability at the project level.
• Operational Stewardship: Drive initiatives to optimize team utilization and enhance operational efficiency within the practice. You manage the commercial success of your squads, ensuring data delivery models (from migration to modern data stack implementation) are executed profitably, scalably, and cost-effectively.
• Execution & Technical Resolution
• Technical Escalation: Serve as the primary escalation point for delivery issues, personally leading the resolution of complex data integration bottlenecks and pipeline failures to protect client timelines and data reliability standards.
• Quality Enforcement
• Quality Oversight: Execute and monitor technical data quality standards, ensuring engineering teams adhere to strict policies regarding data lineage, automated quality checks (observability), security/privacy compliance (GDPR/CCPA/PII), and active catalog management.

2. Strategic Growth & Practice Scaling

• Talent & Scaling Execution: Execute the strategy for data engineering talent acquisition and development within your business units. Implement objective metrics to assess and grow the 'Data-Native' DNA of your teams, ensuring squads are consistently equipped to handle petabyte-scale environments and high-impact delivery.
• Offerings Alignment: Drive the adoption of standardized regional offerings (e.g., Modern Data Platform, Data Mesh, Lakehouse Implementation). Ensure your teams leverage the profitable frameworks defined by the practice to accelerate time-to-insight and eliminate architectural fragmentation in client environments.
• Innovation & IP Development: Lead the practical integration of Vector Databases and LLM-ready architectures into project delivery. Champion the hands-on development of IP and reusable accelerators (e.g., automated ingestion engines) that improve delivery speed and enhance data availability across your portfolio.

3. Leadership & Unit Management

• Unit Leadership: Directly lead, mentor, and manage the Engineering Managers and Lead Architects within your business unit. Hold your teams accountable for project-level operational consistency, technical talent development, and strict adherence to the practice's data governance standards.
• Stakeholder Communication: Clearly articulate the business unit’s operational performance, technical quality metrics, and delivery progress to the C-suite Stakeholders and regional client leadership, bridging the gap between technical execution and business value.
• Ecosystem Alignment: Maintain strong technical relationships with key partner contacts (Snowflake, Databricks, AWS/GCP). Align team delivery capabilities with current product roadmaps and ensure squad-level participation in training, certifications, and partner-led enablement opportunities.

Welcome to Searce

The ‘process-first’, AI-native modern tech consultancy that's rewriting the rules.

We don’t do traditional.

As an engineering-led consultancy, we are dedicated to relentlessly improving the real business outcomes. Our solvers co-innovate with clients to futurify operations and make processes smarter, faster & better.

Functional Skills

1. Delivery Management & Operational Excellence

• Methodology Execution: Expert capability in implementing and enforcing a unified delivery methodology (DataOps, Agile, Mesh Principles) within specific business units. Proven track record of auditing squad-level adherence to ensure consistency across the project lifecycle.
• Operational Performance: High proficiency in managing day-to-day operational metrics, including squad utilization, resource forecasting, and productivity tracking. Skilled at optimizing team performance to meet profitability and efficiency targets.
• SOW & Risk Mitigation: Proven experience in operationalizing Statement of Work (SOW) requirements and identifying technical delivery risks early. Expert at mitigating scope creep and data-specific bottlenecks (e.g., latency, ingestion gaps) before they impact client outcomes.
• Technical Escalation Leadership: Demonstrated ability to lead "war room" efforts to resolve complex pipeline failures or data integrity issues. Skilled at providing clear, rapid remediation plans and communicating technical status directly to regional stakeholders.

2. Architectural Implementation & Technical Oversight

• Modern Stack Proficiency: Deep, hands-on expertise in implementing Cloud-Native architectures (Lakehouse, Data Mesh, MPP) on Snowflake, Databricks, or hyperscalers. Ability to conduct deep-dive architectural reviews and course-correct design decisions at the squad level to ensure scalability.
• Operationalizing Governance: Proven experience in embedding data quality and observability (completeness, freshness, accuracy) directly into the CI/CD pipeline. Responsible for technical enforcement of regulatory compliance (GDPR/PII) and maintaining the integrity of data catalogs across active projects.
• Applied Domain Expertise: Practical experience leading the delivery of high-growth solutions, specifically Generative AI infrastructure (RAG, Vector DBs), Real-Time Streaming, and large-scale platform migrations with a focus on zero-downtime execution.
• DataOps & Engineering Standards: Expert-level mastery of DataOps, including the setup and management of orchestration frameworks (Airflow, Dagster) and Infrastructure as Code (IaC). You ensure that automation is a baseline requirement, not an afterthought, for all delivery teams.

3. Unit Management & Commercial Execution

• Unit & Team Management: Proven success in leading and mentoring Engineering Managers and Lead Architects. Responsible for the operational metrics, technical output, and career development of the business unit's talent pool.
• Offerings Implementation & Scoping: Expertise in translating service offerings (e.g., Data Maturity Assessments, Lakehouse Builds) into accurate project scopes, technical estimates, and resource plans to ensure delivery is both profitable and competitive.
• Talent Growth & Mentorship: Functional ability to implement growth frameworks for data engineering roles. Focus on hands-on coaching and scaling high-performance technical talent to meet the demands of complex, petabyte-scale environments.
• Partner Enablement: Functional competence in managing regional technical relationships with major partners (Snowflake, Databricks, GCP/AWS). Drives squad-level certifications, joint technical enablement, and alignment with partner product roadmaps.

Tech Superpowers

• Modern Data Architect – Reimagines business with the Modern Data Stack (MDS) to deliver data mesh implementations, insights, & real value to clients.
• End-to-End Ecosystem Thinker – Builds modular, reusable data products across ingestion, transformation (ETL/ELT), governance, and consumption layers.
• Distributed Compute Savant – Crafts resilient, high-throughput architectures that survive petabyte-scale volume and data skew without breaking the bank.
• Governance & Integrity Guardian – Embeds data quality, complete lineage, and privacy-by-design (GDPR/PII) into every table, view, and pipeline.
• AI-Ready Orchestrator – Engineers pipelines that bridge structured data with Unstructured/Vector stores, powering RAG models and Generative AI workflows.
• Product-Minded Strategist – Balances architectural purity with time-to-insight; treats every dataset as a measurable "Data Product" with clear ROI.
• Pragmatic Stack Curator – Chooses the simplest tools that compound reliability; fluent in SQL, Python, Spark, dbt, and Cloud Warehouses.
• Builder @ Heart – Writes, reviews, and optimizes queries daily; proves architectures with cost-performance benchmarks, not slideware. Business-first, data-second, outcome focused technology leader.

Experience & Relevance

• Executive Experience: Minimum 10+ years of progressive experience in data engineering and analytics, with at least 3 years in a Senior Manager or Director -level role managing multiple technical teams and owning significant operational and efficiency metrics for a large data service line.
• Delivery Standardization: Demonstrated success in defining and implementing globally consistent, repeatable delivery methodologies (DataOps/Agile Data Warehousing) across diverse teams.
• Architectural Depth: Must retain deep, current expertise in Modern Data Stack architectures (Lakehouse, MPP, Mesh) and maintain the ability to personally validate high-level architectural and data pipeline design decisions.
• Operational Leadership: Proven expertise in managing and scaling large professional services organizations, demonstrated ability to optimize utilization, resource allocation, and operational expense.
• Domain Expertise: Strong background in Enterprise Data Platforms, Applied AI/ML, Generative AI integration, or large-scale Cloud Data Migration.
• Communication: Exceptional executive-level presentation and negotiation skills, particularly in communicating complex operational, data quality, and governance metrics to C-level stakeholders.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

Job Title: Java Developer

Java Developer – Job Description Wissen Technology is now hiring for a Java Developer - Bangalore with hands-on experience in Core Java, algorithms, data structures, multithreading and SQL. We are solving complex technical problems in the industry and need talented software engineers to join our mission and be a part of a global software development team. A brilliant opportunity to become a part of a highly motivated and expert team which has made a mark as a high-end technical consulting.

 Required Skills: • Exp. - 1 to 3 years.

Wissen Technology is hiring Java + Scala Developers with 1–3 years of experience. We are looking for candidates with strong hands-on skills in Java and Scala, good analytical abilities, and the capability to work in a dynamic environment.

Key Requirements:

• Experience in Java and Scala
• Strong understanding of core programming concepts
• Good problem-solving and debugging skills
• Must be available for immediate joining
• Should be open to face-to-face interviews in Bangalore or Mumbai

About Wissen Technology:

Wissen Technology is a niche global consulting and solutions company that brings unparalleled domain expertise in Banking and Finance, Telecom and Startups. Wissen Technology is a part of Wissen Group and was established in the year 2015. Wissen has offices in the US, India, UK, Australia, Mexico, and Canada, with best-in-class infrastructure and development facilities. Wissen hassuccessfully delivered projects worth $1 Billion for more than 25 of the Fortune 500 companies. The Wissen Group overall includes more than 4000 highly skilled professionals. Wissen Technology provides exceptional value in mission critical projects for its clients, through thought leadership, ownership, and assured on-time deliveries that are always ‘first time right’. Our team consists of 1200+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world. Wissen Technology offers an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation. We have been certified as a Great Place to Work® for two consecutive years (2020-2022) and voted as the Top 20 AI/ML vendor by CIO Insider.

Skills Required:

- 4+ years of technical experience in a developer role

- Strong proficiency with Core Java

- Database experience preferably with DB2, Sybase, or Oracle

- Complete SDLC process and Agile Methodology (Scrum)

- Strong oral and written communication skills

- Excellent interpersonal skills and professional approach

- Bachelor’s degree in Computer Science, MIS, or other technology/engineering discipline

Skill Desired:

-Strong proficiency with Scala on Spark

- Previous experience in front office and back office reports

- Strong understanding Order Life Cycle management from Equities or Listed derivatives perspective

- Previous experience in Trade Surveillance or working with data from the order lifecycle

- Good to have knowledge on Hadoop Technologies

- High quality software architecture and design methodologies and patterns

- Work experience as level-3 support for applications

- Layered Architecture, Component based Architecture

- XML-based technologies

- Unix OS, Scripting, Python or Perl

- Experience in development on other application types (Web applications, batch, or streaming)

LogiNext is looking for a technically savvy and passionate Software Engineer - Data Science to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Your goal will be to help our company analyze trends to make better decisions. Without knowledge of how the software works, data scientists might have difficulty in work. Apart from experience in developing R and Python, they must know modern approaches to software development and their impact. DevOps continuous integration and deployment, experience in cloud computing are everyday skills to manage and process data.

Responsibilities:

Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

Requirements:

Bachelors degree or higher in Computer Science, Information Technology, Information Systems, Statistics, Mathematics, Commerce, Engineering, Business Management, Marketing or related field from top-tier school 2 to 3 year experince in in data mining, data modeling, and reporting. Understading of SaaS based products and services. Understanding of machine-learning and operations research Experience of R, SQL and Python; familiarity with Scala, Java or C++ is an asset Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Analytical mind and business acumen and problem-solving aptitude Excellent communication and presentation skills Proficiency in Excel for data management and manipulation Experience in statistical modeling techniques and data wrangling Able to work independently and set goals keeping business objectives in mind

LogiNext is looking for a technically savvy and passionate Senior Software Engineer - Data Science to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Your goal will be to help our company analyze trends to make better decisions. Without knowledge of how the software works, data scientists might have difficulty in work. Apart from experience in developing R and Python, they must know modern approaches to software development and their impact. DevOps continuous integration and deployment, experience in cloud computing are everyday skills to manage and process data.

Responsibilities :

Adapting and enhancing machine learning techniques based on physical intuition about the domain Design sampling methodology, prepare data, including data cleaning, univariate analysis, missing value imputation, , identify appropriate analytic and statistical methodology, develop predictive models and document process and results Lead projects both as a principal investigator and project manager, responsible for meeting project requirements on schedule and on budget Coordinate and lead efforts to innovate by deriving insights from heterogeneous sets of data generated by our suite of Aerospace products Support and mentor data scientists Maintain and work with our data pipeline that transfers and processes several terabytes of data using Spark, Scala, Python, Apache Kafka, Pig/Hive & Impala Work directly with application teams/partners (internal clients such as Xbox, Skype, Office) to understand their offerings/domain and help them become successful with data so they can run controlled experiments (a/b testing) Understand the data generated by experiments, and producing actionable, trustworthy conclusions from them Apply data analysis, data mining and data processing to present data clearly and develop experiments (ab testing) Work with development team to build tools for data logging and repeatable data tasks tol accelerate and automate data scientist duties

Requirements:

Bachelor’s or Master’s degree in Computer Science, Math, Physics, Engineering, Statistics or other technical field. PhD preferred 4 to 7 years of experience in data mining, data modeling, and reporting 3+ years of experience working with large data sets or do large scale quantitative analysis Expert SQL scripting required Development experience in one of the following: Scala, Java, Python, Perl, PHP, C++ or C# Experience working with Hadoop, Pig/Hive, Spark, MapReduce Ability to drive projects Basic understanding of statistics – hypothesis testing, p-values, confidence intervals, regression, classification, and optimization are core lingo Analysis - Should be able to perform Exploratory Data Analysis and get actionable insights from the data, with impressive visualization. Modeling - Should be familiar with ML concepts and algorithms; understanding of the internals and pros/cons of models is required. Strong algorithmic problem-solving skills Experience manipulating large data sets through statistical software (ex. R, SAS) or other methods Superior verbal, visual and written communication skills to educate and work with cross functional teams on controlled experiments Experimentation design or A/B testing experience is preferred. Experince in team management.

• 15+ years of Hands-on technical application architecture experience and Application build/ modernization experience

• 15+ years of experience as a technical specialist in Customer-facing roles.

• Ability to travel to client locations as needed (25-50%)

• Extensive experience architecting, designing and programming applications in an AWS Cloud environment

• Experience with designing and building applications using AWS services such as EC2, AWS Elastic Beanstalk, AWS OpsWorks

• Experience architecting highly available systems that utilize load balancing, horizontal scalability and high availability

• Hands-on programming skills in any of the following: Python, Java, Node.js, Ruby, .NET or Scala

• Agile software development expert
• Experience with continuous integration tools (e.g. Jenkins)

• Hands-on familiarity with CloudFormation

• Experience with configuration management platforms (e.g. Chef, Puppet, Salt, or Ansible)

• Strong scripting skills (e.g. Powershell, Python, Bash, Ruby, Perl, etc.)

• Strong practical application development experience on Linux and Windows-based systems

• Extra curricula software development passion (e.g. active open source contributor)

• Hands-on experience in any Cloud Platform

• Microsoft Azure Experience

Job Description:

TeamExtn is looking for a passionate Senior Scala Engineer. It will be expected from you to build pragmatic solutions on mission-critical initiatives. If you know your stuff, see the beauty in code, have knowledge in depth and breadth, advocate best practices, and love to work with distributed systems, then this is an ideal position for you.

As a core member of our Special Projects team, you will work on various new projects in a startup-like environment. These projects may include such things as building new APIs (REST/GraphQL/gRPC) for new products, integrating new products with core Carvana services, building highly scalable back end processing systems in Scala and integrating with systems backed by Machine Learning. You will use cutting edge functional Scala libraries such as ZIO. You will have the opportunity to work closely with our Product, Experience and Software Engineering teams to deliver impact.

Responsibilities:

• Build highly scalable APIs and back end processing systems for new products
• Contribute in the full software development lifecycle from design and development to testing and operating in production
• Communicate effectively with engineers, product managers and data scientists
• Drive scalability and performance within our distributed AI platform
• Full software development lifecycle from design and development to testing and operating in production
• Communicate effectively with engineers, product managers and data scientists

Skills And Experience:

• 4+ years experience with Scala, Java or other functional language
• Experience with Akka and Lightbend stack
• Expert with PostgreSQL, MySQL or MS SQL
• Experience in architecting, developing, deploying and operating large scale distributed systems and actor systems
• Experience with cloud APIs (e.g., GCP, AWS, Azure)
• Messaging systems such as GCP Pub/Sub, RabbitMQ, Kafka
• Strong foundation in algorithms and data structures and their real-world use cases.
• Solid understanding of computer systems and networks
• Production quality coding standards and patterns

BONUS SKILLS:

• Experience with functional programming in Scala
• Knowledge of ZIO and related ecosystem
• Experience with functional database libraries in Scala (Quill preferred)
• Kubernetes and Docker
• Elasticsearch
• Typescript, React and frontend UI development experience
• gRPC, GraphQL

• Professional experience in enterprise java software development using Spring MVC framework , RESTful  APIs and SOA
• Experience working in Cloud(AWS)
• Outstanding problem solving skills
• API Development experience
• Exposure to monitoring tools such as ELK, Splunk
• Experience with Selenium for UI automated tests written in Cucumber or Scala
•  Able to handle day-to-day challenges and owning the resolution of issues as they arise.

• Augmenting, improving, redesigning, and/or re-implementing Dolat's low-latency/high-throughput production trading environment, which collects data from and disseminates orders to exchanges around the world
• Optimizing this platform by using network and systems programming, as well as other advanced techniques
• Developing systems that provide easy access to historical market data and trading simulations
• Building risk-management and performance-tracking tools
• Shaping the future of Dolat through regular interviewing and infrequent campus recruiting trips
• Implementing domain-optimized data structures
• Learn and internalize the theories behind current trading system
• Participate in the design, architecture and implementation of automated trading systems
• Take ownership of system from design through implementation

Greetings from Amazon...!                                       

It is our pleasure in personally inviting you to apply job with Amazon Development Centre India (ADCI). At Amazon we are inclined to hire people with passion for technology and you happened to be one of the shortlisted candidates. Our business is committed to recognizing potential and creating teams that embrace innovation.

Please find the Eligible criteria and requirements:

Job title                             :             SDE – II (Software Development Engineer)
Role Opportunity            :             Permanent/Full Time/FTE/Regular

Work Location                 :             Hyderabad/Bangalore/ Gurgaon

Must Have

• Strong Exposure to Data Structures, Algorithms, Coding, System Design (LLD, HLD, OOAD), Distributed systems, problem solving skills, Architecture (MVC/Microservices), logical thinking.

Amazon (ADCI) - If you are looking for an opportunity to solve deep technical problems and build innovative solutions in a fast paced environment working with smart, passionate software developers, this might be the role for you. Amazon’s transportation systems get millions of packages to customers worldwide faster and cheaper while providing world class customer experience – from checkout to shipment tracking to delivery. Our software systems include services that handle thousands or requests per second, make business decisions impacting billions of dollars a year, integrate with a network of small and large carriers worldwide, manage business rules for millions of unique products, and improve experience for millions of online shoppers. With rapid expansion into new geographies, innovations in supply chain, delivery models and customer experience, increasingly complex transportation network, ever expanding selection of products and growing number of shipments worldwide, we have an opportunity to build software that scales the business, leads the industry through innovation and delights millions of customers worldwide.

As an SDE, you will develop a deep understanding of our business, work closely with development teams and own the architecture and end-to-end delivery of software components.

About Amazon India:

Amazon teams in India work on complex business challenges to innovate and create efficient solutions that enable various Amazon businesses, including Amazon websites across the world as well as support Payments, Transportation, and Digital products and services like the Kindle family of tablets, e-readers and the store. We are proud to have some of the finest talent and strong leaders with proven experience working to make Amazon the Earth’s most customer-centric company.

We made our foray into the Indian market with the launch of Junglee.com, enabling retailers in India to advertise their products to millions of Indian shoppers and drive targeted traffic to their stores. In June 2013, we launched http://www.amazon.in">www.amazon.in for shoppers in India. With http://www.amazon.in">www.amazon.in, we endeavor to give customers more of what they want – low prices, vast selection, fast and reliable delivery, and a trusted and convenient online shopping experience. In just over a year of launching our India operations, we have expanded our offering to over 18 million products across 36 departments and 100s of categories! Our philosophy of working backwards from the customers is what drives our growth and success.

We will continue to strive to become a trusted and meaningful sales and logistics channel for retailers of all sizes across India and a fast, reliable and convenient online shopping destination for consumers. For us, it is always “Day 1” and we are committed to aggressively invest over the long-term and relentlessly focus on raising the bar for customer experience in India. Amazon India offers opportunities where you can dive right in, work with smart people on challenging problems and make an impact that contributes to the lives of millions. Join us so you can - Work Hard, Have Fun and Make History.

Basic Qualifications:

• 3+ years’ experience building successful production software systems
• A solid grounding in Computer Science fundamentals (based on a BS or MS in CS or related field)
• The ability to take convert raw requirements into good design while exploring technical feasibility tradeoffs
• Expertise in System design (design patterns, LLD, HLD, Solid principle, OOAD, Distributed systems etc..), Architecture (MVC/Micro services).
• Good understanding of at least some of the modern programming languages (Java) and open-source technologies (C++, Python, Scala, C#, PHP, Ruby etc..)
• Excellence in technical communication
• Has experience in mentoring other software developers

Preferred Qualifications:

• BS/MS in Computer Science or equivalent
• Experience developing service oriented architectures and an understanding of design for scalability, performance and reliability
• Demonstrated ability to mentor other software developers to maintain architectural vision and software quality
• Demonstrated ability to achieve stretch goals in a highly innovative and fast paced environment
• Expertise in delivering high-quality, innovative application
• Strong desire to build, sense of ownership, urgency, and drive
• Strong organizational and problem solving skills with great attention to detail
• Ability to triage issues, react well to changes, work with teams and ability to multi-task on multiple products and projects.
• Experience building highly scalable, high availability services
• The ideal candidate will be a visionary leader, builder and operator.
• He/she should have experience leading or contributing to multiple simultaneous product development efforts and initiatives.
• He/she needs to balance technical leadership with strong business judgment to make the right decisions about technology choices.
• He/she needs to be constantly striving for simplicity, and at the same time demonstrate significant creativity, innovation and judgment
• Proficiency in, at least, one modern programming language.
• Experience in SQL or Non-SQL database.
• Strong sense of ownership, urgency, and drive.
• Demonstrated leadership abilities in an engineering environment in driving operational excellence and best practices.
• Demonstrated ability to achieve stretch goals in a highly innovative and fast paced environment.
• Excellent communication, collaboration, reporting, analytical and problem solving skills.

Good to Have:

• Knowledge of professional software engineering practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
• Experience with enterprise-wide systems
• Experience influencing software engineers best practices within your team
• Hands-on expertise in many disparate technologies, typically ranging from front-end user interfaces through to back-end systems and all points in between
• Strong written and verbal communication skills preferred

Key Points to remember:

• Strong knowledge of the Software Development Life Cycle methodology
• Technical design, development and implementation decisions on the use of technology in area(s) of specialization.
• Write or modify programming code to suit customer's needs.
• Unit test to assure meets requirements, including integration test as needed.
• Ability to understand and analyze issues and uses judgment to make decisions.
• Strong problem solving & troubleshooting skills
• Strong communication skills
• Responsible for self-development according to professional development plan

1. Should be very strong Scala development(Coding)
2. With Any combination of Java/Python/Spark/Bigdata
3. 3+ years experience in Core Java/Scala with good understanding of multithreading
4. The candidate must be good with Computer Science fundamentals
5. Exposure to python/perl and Unix / K-Shell scripting
6. Code management tools such as Git/Perforce.
7. Experience with large batch-oriented systems 
8. DB2/Sybase or any RDBMS
9. Prior experience with financial products, particularly OTC Derivatives
10. Exposure to counterparty risk, margining, collateral or confirmation systems

We are looking for a Software Developer to build and implement functional programs. You will work with other Developers and https://resources.workable.com/product-manager-job-description">Product Managers throughout the software development life cycle.

In this role, you should be a team player with a keen eye for detail and problem-solving skills. If you also have experience in Agile frameworks and popular coding languages (e.g. JavaScript).

Your goal will be to build efficient programs and systems that serve user needs. 

Technical Skills we are looking for are:

• Producing clean, efficient code based on specifications
• Coding Abilities in HTML , PHP , JS , JSP – Server let , JAVA , DevOps(basic Knowledge).
• Additional Skills (preferred) : NodeJS , Python , Angular JS .
• System Administrator Experience : Linux (Ubuntu/RedHat) , Windows CE-Embedded.
• Data Base Experience : MySQL , Posgres , Mongo DB.
• Data Format Experience : JSON , XML , AJAX , JQuery.
• Should have Depth in software Architecture Design especially for Stand-Alone Software As Product , or SaaS Platform Experience.
• Should have Basic Experience/knowledge in Micro-Services , Rest API’s and SOAP methodologies.
• Should have built some backend architecture for Long Standing Applications.
• Good HTML Design Sense.
• Experience with AWS Services like EC2 and LightSail is Preferred.
• Testing and deploying programs and systems
• Fixing and improving existing software
• Good Understanding of OOP’s and Similar Concepts.
• Research on New JS Methodologies like React Js and Angular Js

• Proven experience as a Software Developer, https://resources.workable.com/software-engineer-job-description">Software Engineeror similar role
• Familiarity with Agile development methodologies
• Experience with software design and development in a test-driven environment
• Knowledge of coding languages (e.g. Java, JavaScript) and frameworks/systems (e.g. AngularJS, Git)
• Experience with databases and Object-Relational Mapping (ORM) frameworks (e.g. Hibernate)
• Ability to learn new languages and technologies
• Excellent communication skills
• Resourcefulness and troubleshooting aptitude
• Attention to detail

The Data Engineering team is one of the core technology teams of Lumiq.ai and is responsible for creating all the Data related products and platforms which scale for any amount of data, users, and processing. The team also interacts with our customers to work out solutions, create technical architectures and deliver the products and solutions.

If you are someone who is always pondering how to make things better, how technologies can interact, how various tools, technologies, and concepts can help a customer or how a customer can use our products, then Lumiq is the place of opportunities.

Who are you?

• Enthusiast is your middle name. You know what’s new in Big Data technologies and how things are moving
• Apache is your toolbox and you have been a contributor to open source projects or have discussed the problems with the community on several occasions
• You use cloud for more than just provisioning a Virtual Machine
• Vim is friendly to you and you know how to exit Nano
• You check logs before screaming about an error
• You are a solid engineer who writes modular code and commits in GIT
• You are a doer who doesn’t say “no” without first understanding
• You understand the value of documentation of your work
• You are familiar with Machine Learning Ecosystem and how you can help your fellow Data Scientists to explore data and create production-ready ML pipelines

Experience

• At least 2 years of Data Engineering Experience
• Have interacted with Customers

Must Have Skills

• Amazon Web Services (AWS) - EMR, Glue, S3, RDS, EC2, Lambda, SQS, SES
• Apache Spark
• Python
• Scala
• PostgreSQL
• Git
• Linux

Good to have Skills

• Apache NiFi
• Apache Kafka
• Apache Hive
• Docker
• Amazon Certification

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)

Job Summary

• Excellent hands-on experience with Go lang (if not Golang, in either JAVA, DotNet and/or NodeJS)
• Write CRONs and background tasks required for the growth of business and product
• Build REST APIs as required
• Ability to code using design principles
• Write reusable code and libraries for future use
• Have the working knowledge of Microservices Architecture using Docker
• Collaborate with other team members and stakeholders in executing various new and existing ideas
• Possesses the knowledge of developing and deploying in Linux environments
• Passion for building great products and loads of energy.

Key Skills
Skills that we would be more than happy for a dev to have: - Worked in CI/CD environments - Developed code using TDD/BDD approach. - Worked with Virtualization on Linux (KVM) - Experience in working in Agile development environment 

About You

We’re looking for exceptional Engineers with an amazing breadth and depth of technology expertise! If you’re the kind of person that looks at the bigger picture and want to build something that has a real impact on the end user, go ahead and apply for the position.

Ability to see the big picture but still love to code!

Strong in backend languages, such as Java, DotNet or NodeJS!

Familiar with client-side frameworks such as React, Angular, Vue etc.

Strong HTML/CSS skills – you understand not only how to build the data, but how to make it look great too.

Knowledge of architectural design and you like to build something scalable and flexible to support business

Agile or Scrum is your favorite development approach.

And when we start talking about performance, security and unit testing? Well that’s music to your ears