big data lead

Carglass

<div>Carglass er en international virksomhed og Danmarks f&oslash;rende specialist i reparation og udskiftning af bilruder. Vi br&aelig;nder for god service og har et team af fantastiske medarbejdere, som er effektive, yder god r&aring;dgivning og har et godt f&aelig;llesskab p&aring; tv&aelig;rs af virksomhedens forskellige afdelinger .
Job Title: Data Lead, Nordics
 
Location: Copenhagen, Stockholm, Oslo, Turku
 
Reports to: CIO, Nordics
About the Role - Make data the way we make decisions
 
Carglass is unifying four country solutions into one modern, global data platform. We&rsquo;re looking for a Nordic Data Lead who can both build (data engineering at heart) and lead (be the evangelist who lifts our data maturity). You&rsquo;ll architect the next-gen data stack, deliver tangible analytics value, and partner with senior leaders to embed data driven insights in everyday decisions.
Key Responsibilities - what you&rsquo;ll do
Own the Nordic data platform journey:
<ul><li>Lead the migration of four existing Nordic solutions into a single, enterprise-grade data platform on our global architecture.
</li><li>Design and implement scalable data models and warehouses, orchestrate robust ETL/ELT pipelines, and set the golden path for reuse.
</li><li>Define and drive data quality rules, lineage, and documentation; champion governance aligned to global standards.
</li></ul>Ship analytics that change outcomes:
<ul><li>Deliver high-value data models, semantic layers, and dashboards; set standards for versioning, testing, and release management.
</li><li>Partner across the organisation to convert questions into trustworthy metrics and actionable KPIs.
</li></ul>Be the data evangelist:
<ul><li>Coach analysts and business users; run enablement on data literacy and Power BI best practices.
</li><li>Promote a &ldquo;metrics over opinions&rdquo; culture and a consistent business glossary across the Nordics.
</li></ul>Collaborate across the group:
<ul><li>Work hand-in-hand with other Carglass companies outside the Nordics and our parent company to reuse patterns, align to global policies, and accelerate delivery with shared assets.
</li><li>Engage senior stakeholders; turn strategy into a delivery roadmap with clear value milestones.
</li></ul>What We&rsquo;re Looking For - What you&rsquo;ll bring
<ul><li>Data engineering depth (you&rsquo;ve built production-grade data platforms) before using your strong skills in SQL, data modelling, ETL/ELT patterns, orchestration, CI/CD for data, testing, observability, and cost/performance tuning.
</li><li>Experience with our global tech-stack: Snowflake, Snowflake OpenFlow, dbt, AWS SDLF, Erwin, PowerBI.
</li><li>Analytics: delivered enterprise Power BI datasets, reports, DAX, row-level security, telemetry, and governance at scale.
</li><li>Data governance mindset: catalogue/lineage, definitions, quality SLAs, and pragmatic controls with business ownership.
</li><li>Stakeholder leadership: confident with SLT and country GMs, able to translate business goals into data roadmaps and releases.
</li><li>Culture carrier: clear communicator, coach, and change agent&mdash;comfortable influencing without authority.
</li><li>Nice-to-haves: experience with cross-country migrations, ML/AI exposure, and experience working with multinational teams.
</li><li>Experience managing vendors or delivery partners in multi-stakeholder environments.
</li><li>Regular travel across the Nordics, with occasional travel to other European countries.
</li><li>Fluency in English and at least one Nordic language is required.
</li></ul>Why Join Us?
You&rsquo;ll shape the Nordic data platform end‑to‑end &mdash; from architecture and roadmap to ways of working &mdash; and play a pivotal role in one of the most impactful transformation programs in our region. You&rsquo;ll work within a supportive global data community while retaining autonomy to deliver tangible impact locally.
If you thrive on building meaningful platforms, delivering real business value, and creating lasting change across multiple countries and business domains, we&rsquo;d love to hear from you.
-
Carglass&reg; Danmark er en del af den internationale koncern Belron&reg;, som er f&oslash;rende eksperter inden for reparation og udskiftning af bilruder. Belron&reg; opererer i 40 lande og har p&aring; verdensplan mere end 30.000 medarbejdere. Vi betjener 127.000 kunder hver uge verden over og skifter &aring;rligt 9,3 millioner ruder. I gennemsnit reparerer vi 8.500 stenslag hver dag, og vi udf&oslash;rer et job hvert tredje sekund d&oslash;gnet rundt.
Belron&reg; og Carglass&reg; topledelse har et klart formuleret form&aring;l for deres koncern: &quot; Making a memorable difference with care ,&quot; hvilket understreger, at der altid findes et oprigtigt &oslash;nske og et kontinuerligt fokus p&aring; at hj&aelig;lpe deres kunder p&aring; bedst mulig vis. At v&aelig;re en del af Carglass er derfor ogs&aring; at give tilbage til samfundet &ndash; lokalt og globalt. Vi &oslash;nsker at udvikle os, s&aring; vi bidrager til en gr&oslash;nnere verden, og vi h&aring;ber at du vil v&aelig;re med.</div>

Data Lead, Nordics

Tech Interacts Inc

Big Data EngineerCharlotte, NC(Hybrid) W2 | Local only NO OPT/CPT/H1Job Description:<ul><li>Experience with Big Data platforms/tools (Linux, HDFS, Hive, Hortonworks, Spark, Scala, Python, Java, Kafka, etc.)</li><li>Experience with API&rsquo;s, reading from and/or designing new</li><li>Ability to write SQL and interact with data</li><li>Data processing experience (Join, Merge, Transform, Summarize, etc.)</li><li>Ability to design and create data control checks and</li><li>Experience with scheduler tools like Autosys</li><li>Familiar with the Banking Financial Crimes domain</li></ul>Required Skills:Over 10+ years Top Skills: Big Data Developer (Spark, Scala, Python, AutoSys, Git, etc.)<ul><li>Years of Experience: 5 years of Big Data process development and job scheduling</li><li>Education: Bachelor&rsquo;s degree in Science or higher</li><li>Work Environment: Daily Agile Scrum team stand-ups</li><li>Communication: Strong verbal and written communication skills</li><li>Accountability: Ability to lead initiatives end to end, including solution design, development, testing, and deployment</li></ul>Desired Skills:<ul><li>Good‑to‑Have Skills: General Data Development experience (SQL, ETL, Linux scripting, etc.)</li><li>Domain Expertise: Experience with Financial Crime Compliance and related data processing.</li></ul>Pay: From $60.00 per hourWork Location: Hybrid remote in Charlotte, NC 28202

Big Data Engineer

EmiGrants

Assistant Manager &ndash; Sales @ Emigrants Karachi | Full-timeThe Role We need a go-getter who can turn chats into deals and lead a team to win big. If you&rsquo;re target-driven, people-smart, and love the hustle &mdash; this is your vibe.What You&rsquo;ll Do<ul><li>Support &amp; execute sales strategies</li><li>Lead, motivate &amp; hype the sales team</li><li>Track performance + spot growth opportunities</li><li>Build strong client relationships</li><li>Handle leads &amp; close deals</li><li>Keep the energy high and results higher</li></ul>What We Want<ul><li>2&ndash;4 years in sales (team lead = bonus points)</li><li>Strong communication &amp; negotiation skills</li><li>Data-driven + target-focused mindset</li><li>Organized, proactive &amp; solution-oriented</li></ul>You&rsquo;ll Stand Out If<ul><li>You chase targets, not just meet them</li><li>You bring energy &amp; leadership</li><li>You take ownership (no waiting around)</li></ul>What You Get<ul><li>Salary: 40K&ndash;100K + Commission</li><li>Quarterly performance bonuses</li><li>Growth + learning opportunities</li><li>Supportive, fun team environment</li></ul>Apply now &amp; let&rsquo;s build something big together!Job Type: Full-timePay: Rs40,000.00 - Rs100,000.00 per monthWork Location: In person

Assistant Manager - Sales

Orange Egypt

<div>
 
 Purpose of the job
 
 
 
 As a data platform development senior engineer you'll work in a Big Data environment, to lead supervise and contribute to building an elastic , high performance computing and storage platform that underpins the diverse workloads running on data lake infrastructure.
 
 
 You will be working with the team on problems involving large scale distributed systems, service-oriented architectures, data and metadata storage, computing infrastructure automation and more.
 
 
 You will be expected to contribute to setting the standards, deliveries and process of the data platform engineering process. Training, leading and facilitating work for junior engineers. The candidate will play a vital role in leading the processes of mediating, governing and sweardship of corporate data sets. You will be working closely with the data analytics team to support mining, auditing, testing, researching and visualizing corporate data sets and with the business consumers and subject matter experts to drive smart data driven solutions and initiatives.
 
 
 
 Duties And Responsibilities
 
 
 
 <ul>
 <li>
 Contribute in developing plans for the team according to the department strategic vision.
 </li>
 <li>
 Provide strong technical leadership to the team with a focus on quality, performance, and security.
 </li>
 <li>
 Foster a culture of creativity and innovation while also promoting practical decision making.
 </li>
 <li>
 Help growing the team by participating in the recruiting process.
 </li>
 <li>
 Collaborate with data scientists, data analysts, modelers and IT team members on project goals.
 </li>
 <li>
 Optimize the performance and support monitoring of data platform systems and computing infrastructure.
 </li>
 <li>
 Define and deliver on service availability and quality SLAs.
 
 
 
 </li>
 </ul>
 
 Education
 
 
 
 <ul>
 <li>
 Bachelor degree of Engineering in Computer Systems, or Computer Science.
 
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 5 to 7 years of hands-on software engineering experience
 </li>
 <li>
 Solid engineering fundamentals with extensive and strong software development experience.
 </li>
 <li>
 Experience coaching and mentoring junior software engineers.
 </li>
 <li>
 Experience and understanding of SDLC and Agile/Scrum procedures.
 </li>
 <li>
 Experience working in a big data environment and using big data tools is preferred.
 </li>
 <li>
 Experience with infrastructure as a code, automation and DevOps practices is preferred.
 </li>
 <li>
 Past experience in telecom operators and service providers is preferred.
 
 
 
 </li>
 </ul>
 
 Skills And Abilities
 
 
 
 <ul>
 <li>
 Very good English both written &amp; spoken.
 </li>
 <li>
 Excellent collaboration and communication skills and comfortable working across multiple teams.
 </li>
 <li>
 Strong hands-on skill, can drill deep into complex systems design and implementation.
 </li>
 <li>
 Strong problem solving and troubleshooting skills.
 </li>
 <li>
 Excellent knowledge of database systems.
 </li>
 <li>
 Excellent programming and debugging skills.
 </li>
 <li>
 Good systems administration skills.
 
 </li>
 </ul>
</div>

Sr. Software Development Engineering

Ingenious Guru

We&rsquo;re looking for someone who can turn conversations into clients. If you have experience in cold outreach, international sales, lead generation, or appointment setting, this could be your next big move.What You&rsquo;ll Be Doing<ul><li>Reach out to prospects via LinkedIn outreach, cold email, X (Twitter), and online communities</li><li>Write personalized, high-converting messages (no copy-paste spam)</li><li>Generate leads through social media, Bark, and other lead platforms</li><li>Qualify prospects and book meetings for the sales team</li><li>Manage follow-ups and keep CRM updated</li><li>Maintain clean lead data in spreadsheets/CRM tools</li><li>Share daily &amp; weekly performance reports</li></ul>Who You Are<ul><li>You have experience in lead generation/appointment setting</li><li>You know how to start conversations and close meetings</li><li>You&rsquo;re confident in cold calling, cold emailing, and LinkedIn prospecting</li><li>You understand sales funnels, CRM systems, and outreach tools</li><li>Experience in design/digital marketing campaigns is a BIG plus</li><li>You&rsquo;re target-driven, consistent, and hungry to grow</li></ul>Why Hustler Studio?<ul><li>Learn modern sales strategies + AI-powered outreach</li><li>Fast-paced, growth-focused environment</li><li>Performance-based bonuses &amp; career growth</li><li>A team that actually supports and pushes you</li></ul>Job Details<ul><li>Location: Gulshan e Iqbal, Block 13-B, Karachi (On-Site)</li><li>Role: Full-time &ndash; Appointment Setter &amp; Lead Generation</li><li>Industry: Digital Marketing | Design | Branding</li><li>Ready to grow with us? Apply now!</li></ul>Note: Please apply only if you have 1&ndash;2 years of relevant experience for this role and are available to work on-site.Pay: From Rs35,000.00 per monthAbility to commute/relocate:<ul><li>Karachi Gulshan-E-Iqbal: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>What's your current salary as a appointment setter &amp; lead generation?</li></ul>Experience:<ul><li>Appointment Setter &amp; Lead Generation: 1 year (Required)</li></ul>Work Location: In person

Appointment Setter & Lead Generation

<div>Title:
Big Data Systems Engineer
Belong, Connect, Grow, with KBR!
KBR&rsquo;s National Security Solutions (NSS) team provides high-end engineering and advanced technology solutions to our customers in the intelligence and national security communities. In this position, your work will have a profound impact on the country&rsquo;s most critical role &ndash; protecting our national security.
KBR is seeking a Big Data Systems Engineer to join our team. The successful candidate will be part of the KBR team supporting the Test Resource Management Center&rsquo;s (TRMC) Big Data (BD) and Knowledge Management (KM) Team deploying BD and KM systems for DoD testing Ranges and various acquisition programs.
Responsibilities:
<ul><li>The Big Data Systems Engineer will work on the deployment and integration of a highly visible data analytic project called Cloud Hybrid Edge-to-Enterprise Evaluation Test &amp; Analysis Suite (CHEETAS) at multiple DoD ranges and labs.</li><li>
As a Big Data Systems Engineer, you will be a critical part of our technical team responsible for deploying CHEETAS within customer environments. You will be the frontline interface that customers will have when first experiencing CHEETAS within their DoD Range and lab environments.</li><li>
This position will require you to work closely with system administrators and software developers to communicate, document and ultimately resolve deployment issues as they arise.</li><li>
You will deploy CHEETAS within disparate DoD testing Ranges and acquisition programs environments (on different non-standard hardware stacks and integrated into different existing ecosystems) sometimes located within DoD vaults with no outside internet connectivity.</li><li>
Work on the deployment and integration of a highly visible data analytic project called Cloud Hybrid Edge-to-Enterprise Evaluation Test &amp; Analysis Suite (CHEETAS) at multiple DoD ranges and labs</li><li>
Deploy CHEETAS within customer environments</li><li>
Work closely with system administrators and software developers to communicate, document and ultimately resolve deployment issues as they arise</li><li>
Deploy CHEETAS within disparate DoD testing Ranges and acquisition programs environments (on different non-standard hardware stacks and integrated into different existing ecosystems) sometimes located within DoD vaults with no outside internet connectivity</li></ul>
Work Environment:
<ul><li>Location: Remote - The candidate can either work in one of KBR&rsquo;s facilities or work from home, with a stable internet connection.</li><li>
Travel Requirements: This position is anticipated to require travel of 25% with surges possible up to 50% to support end users located at various DoD Ranges and Labs across the US (including Alaska and Hawaii).</li><li>
Working Hours: Standard</li></ul>
Basic Qualifications/Knowledge:<ul><li>
Must have an active TS/SCI Security Clearance to be considered for this position.</li><li>
This position requires a bachelor's degree in a STEM Computer Science, Data Science, Statistics or related, technical field, and 10 years of DoD experience. Entry level Big Data Engineers will NOT be considered due to the breadth of knowledge necessary to be successful in the position.</li><li>
Previous experience must include three (3) years of hands-on experience in the integration with and configuration of: SQL Server Big Data Cluster, CentOS, Ubuntu, RedHat, Windows Server, VMWare, etc.)</li><li>
Previous experience must include five (5) years of hands-on experience in big data environments.</li><li>
Must be adept at deploying and configuring Big Data and Knowledge Management tools in an enterprise environment.</li><li>
Must have extensive technical expertise in the configuration and troubleshooting of big data ecosystems.</li><li>
Must have excellent written and verbal communication skills and be comfortable assisting customers with installation and configuration of their big data infrastructure.</li><li>
Must have strong troubleshooting skills and the ability to become a CHEETAS deployment subject matter expert.</li><li>
Must be comfortable working with a wide range of stakeholders and functional teams at various levels of experience.</li><li>
Excellent interpersonal skills, oral and written communication skills, and strong personal motivation are necessary to succeed within this position.</li><li>
Experience with installation, configuration, integration with and usage of the following tools and technologies: NFS, SMB, S3, SQL Server, Windows Server, Windows 10/11, Linux (CentOS, Ubuntu, RedHat).</li><li>
Must be prepared to learn new business processes or CHEETAS application nuances every Agile sprint release (roughly every 6 weeks) prior to deploying to customer sites.</li><li>
Ability to problem solve, debug, and troubleshoot while under pressure and time constraints is required.</li><li>
Ability to communicate effectively about technical topics to both experts and non-experts at both the management and technical level is required.</li><li>
Ability to work independently and provide appropriate recommendations for optimal design, analysis, and development.</li><li>
Excellent verbal communications skills are required, as the Integration Engineer will be in frequent contact with the project technical lead, be taking direction from various government leads, and will frequently be interacting with end users to gather requirements and implement solutions while away from other team members.</li><li>
Excellent testing, debugging and problem-solving skills are required to be successful in this position.</li><li>
Experience designing, building, integrating with and maintaining both new and existing big data systems and solutions.</li><li>
Ability to speak and present findings in front of large groups.</li><li>
Ability to document and repeat procedures.</li><li>
This position is anticipated to require travel of 25% with surges possible up to 50% to support end users located at various DoD Ranges and Labs across the United States.</li></ul>
Preferred Qualifications:
<ul><li>Experience working in government/defense labs and their computing restrictions.</li><li>
Experience working with major DoD acquisition programs.</li><li>
Knowledge of the Test and Training Enabling Architecture (TENA), the Joint Mission Environment Testing Capability (JMETC) and distributed testing and training.</li><li>
Experience with working in distributed team environment.</li><li>
Ability to teach and mentor engineers with a variety of skill levels and backgrounds.</li><li>
Knowledge of DoD cybersecurity policies.</li></ul>
Basic Compensation:
$142,400 - $180,000 (For the Denver, CO Area only)
$148,900 - $200,000 (For the Los Angeles, CA Area Only)
$148,900 - $200,00 (For the Washington, DC Area Only)
The offered rate will be based on the selected candidate&rsquo;s working location, knowledge, skills, abilities and/or experience, clearance level, contract affordability and in consideration of internal parity.
Additional Compensation:
KBR may offer bonuses, commissions, or other forms of compensation to certain job titles or levels, per internal policy or contractual designation. Additional compensation may be in the form of a sign on bonus, relocation benefits, short-term incentives, long-term incentives, or discretionary payments for exceptional performance.
Belong, Connect and Grow at KBR 
 
At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team&rsquo;s philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver &ndash; Together.
KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.</div>

Big Data Systems Engineer

H2o Labs

Senior / Lead / Data Engineer &ndash; Comprehensive Job DescriptionAbout the RoleWe are seeking a highly skilled and experienced Senior/Lead/Staff Data Engineer todesign, build, and maintain scalable, reliable, and high-performance data systems. Thisrole requires deep technical expertise, strong ownership of data platforms, and the abilityto lead cross-functional initiatives that power analytics, machine learning, businessintelligence, and mission-critical applications.You will play a key role in shaping data architecture, ensuring data quality and governance,and enabling teams across the organization to make data-driven decisions withconfidence.Key ResponsibilitiesData Architecture &amp; Modeling<ul><li>Design and implement scalable data models, including:</li></ul>o Star schema (fact and dimension tables)o Conceptual, logical, and physical data models<ul><li>Develop enterprise data warehouse solutions ensuring:</li></ul>o Flexibility, scalability, and performance optimization<ul><li>Define and enforce data modeling standards and best practices</li></ul>Data Engineering &amp; Pipeline Development<ul><li>Build and maintain end-to-end data pipelines:</li></ul>o Data ingestion &rarr; staging &rarr; transformation &rarr; serving layers<ul><li>Develop robust ETL/ELT processes using modern tools and frameworks</li><li>Implement:</li></ul>o Typed staging layerso Data validation pipelineso Safe backfill and replay mechanisms<ul><li>Optimize SQL queries, indexing strategies, and database performanceData Platform Reliability &amp; Observability</li><li>Own data pipeline reliability and integrity</li><li>Build observability systems, including:</li></ul>o Monitoring dashboardso Alerting frameworks (actionable, low-noise)o Data freshness tracking<ul><li>Implement:</li></ul>o Schema contracts and enforcemento Data quality checks and validation ruleso Failure detection in CI pipelines (not post-deployment)<ul><li>Lead incident management and root cause analysis</li></ul>Data Governance &amp; Quality<ul><li>Establish data governance frameworks:</li></ul>o Standards, policies, and best practices<ul><li>Enforce:</li></ul>o Data integrityo Data lineage and traceabilityo Access controls and compliance<ul><li>Separate and maintain clear boundaries between:</li></ul>o Core governed datasetso Downstream analytics/BI layersCloud &amp; Big Data Integration<ul><li>Integrate systems with:</li></ul>o Data lakes and large-scale data platforms<ul><li>Work with modern cloud ecosystems (AWS preferred):</li></ul>oo Data warehouse platforms (e.g., Redshift, Snowflake)<ul><li>Design cost-efficient and scalable data solutions</li></ul>Analytics Engineering &amp; Data Products<ul><li>Design and deliver data products used by:</li></ul>o Analystso Data scientistso Product teams<ul><li>Build reusable frameworks for:</li></ul>o Data transformationo Orchestrationo Feature engineering (ML readiness)<ul><li>Support advanced analytics and reporting use cases</li></ul>CI/CD &amp; DevOps for Data<ul><li>Implement CI/CD pipelines for data workflows</li><li>Automate:</li></ul>o Testingo Deploymento Validation<ul><li>Use version control systems (Git/GitHub)</li><li>Ensure:</li></ul>o High availabilityo Backup and recovery strategiesProgramming &amp; Tooling<ul><li>Develop solutions using:</li></ul>oo Python (automation, validation, tooling)<ul><li>Work with tools such as:</li></ul>o dbt (deep experience required)o DBeaver, Visual Studioo Orchestration tools (e.g., Dagster or similar)Leadership &amp; Collaboration<ul><li>Lead cross-functional technical initiatives</li><li>Mentor and guide junior to mid-level data engineers</li><li>Conduct:</li></ul>o Code reviewso Architecture discussionso Knowledge sharing sessions<ul><li>Collaborate with:</li></ul>o Engineering teamso Product managerso Business stakeholders<ul><li>Translate business requirements into scalable data solutions</li></ul>Strategic Impact<ul><li>Drive platform evolution and innovation</li><li>Identify opportunities for:</li></ul>o Performance improvementso Cost optimization (FinOps mindset)o Automation and scalability<ul><li>Influence organizational data strategy and roadmapRequired Qualifications</li><li>Bachelor&rsquo;s degree in computer science, Engineering, IT, or related field</li><li>4&ndash;5+ years of experience in data engineering or analytics engineering</li><li>Strong expertise in:</li></ul>o Data modeling (star schema, dimensional modeling)o SQL and performance tuningo ETL/ELT pipeline development<ul><li>Hands-on experience with:</li></ul>o Data warehousing and data lakeso Big data integrations<ul><li>Experience with:</li></ul>o Cloud platforms (AWS preferred)o Data quality, validation, and governance frameworks<ul><li>Strong understanding of:</li></ul>o System designo Scalable architecture<ul><li>Excellent communication and stakeholder management skills</li><li>Ability to work in agile, fast-paced environments</li><li>Eligibility to obtain security clearance (if required)</li></ul>Preferred Qualifications<ul><li>Experience with:</li></ul>o AWS services (Glue, Lambda, etc.)o Snowflake, Redshifto dbt (production-level deployments)<ul><li>Knowledge of:</li></ul>o Machine learning data pipelineso Certifications:o SQL Server, CDMP, MCSA, or similar<ul><li>Experience in:</li></ul>o Healthcare, defense, or regulated industries<ul><li>Familiarity with:</li></ul>o CI/CD for data systemso Data governance and FinOps practicesWhat Makes a Strong Candidate<ul><li>Thinks of systems, not just pipelines</li><li>Focuses on root-cause solutions, not temporary fixes</li><li>Balances:</li></ul>o Business valueo Scalabilityo Maintainability<ul><li>Strong ownership mindset with ability to lead initiatives end-to-end</li><li>Passion for building resilient, high-quality data platforms</li></ul>Job Type: Full-timePay: Rs250,000.00 - Rs350,000.00 per monthWork Location: In person

Lead Data Engineer

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