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data engineer Jobs in Marketplace Finance Jobs In India

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senior data scientist Jobs in Marketplace Finance Jobs In India

senior data scientist

senior data engineer

Growexx

<div>Growexx is seeking a Senior Data Engineer for one of its clients, with good hands-on working experience on Snowflake, SQL, Azure, Python, .NET, Angular, Cypress, etc.
<h3 class="jobSectionHeader">
Key Responsibilities</h3>
<ul><li>Designing, building, testing, and maintaining scalable data models using Snowflake.</li>
<li>Administering Snowflake environments, monitoring system health and performance.</li>
<li>Managing and optimizing Snowflake virtual warehouses for efficiency and cost-effectiveness.</li>
<li>Promoting self-service and decentralized data ownership across teams.</li>
<li>Enforcing data governance policies to ensure standardization, quality, and compliance.</li>
<li>Providing technical assistance and cross-training to team members.</li>
<li>Participating in design sessions and creating technical design documents and diagrams.</li>
<li>Conducting code reviews and offering constructive feedback.</li>
<li>Mentoring engineers to support team growth and development.</li>
<li>Collaborating with senior engineers in the Registry Architecture Review Board.</li>
<li>Ensuring delivery quality and supporting production services.</li>
</ul><h3 class="jobSectionHeader">Education and Experience</h3>
<ul> <li>6-10 years of experience as a Data Engineer, Software Developer, or Administrator focused on data modeling, governance, and platform administration.</li>
<li>Expertise in Snowflake or similar MPP databases.</li>
<li>Strong SQL skills.</li>
<li>Experience with multiple database technologies (MSSQL, PostgreSQL, OLAP, OLTP).</li>
<li>Familiarity with ETL/ELT tools and methodologies.</li>
<li>Experience with database health monitoring, stored procedures, and schema design.</li>
<li>Practical understanding of data governance principles.</li>
<li>Experience with cloud environments (SaaS, PaaS, IaaS).</li>
<li>Strong communication skills, both written and verbal.</li>
<li>Experience in technical design and documentation.</li>
<li>Proficiency with source control systems (Git, Gitflow).</li>
<li>Experience with Agentic AI (Claude, GPT, etc.).</li>
<li>Experience with test automation.</li>
<li>Familiarity with Generative AI and Spec-Driven Development.</li>
<li>Experience with Kafka, Azure Event Hubs, Azure Service Bus.</li>
<li>Knowledge of CI/CD practices.</li>
<li>Ability to work independently and within Agile teams.</li>
<li>Experience with Azure cloud services.</li>
<li>Exposure to Master Data Management (MDM).</li>
<li>Python skills for data transformation and pipeline automation.</li>
<li>Understanding of data mesh principles.</li>
<li>Strong prioritization and multitasking abilities.</li>
</ul><h3 class="jobSectionHeader">Analytical and Personal Skills</h3>
<ul><li>Must have good logical reasoning and analytical skills.</li>
<li>Good Communication skills in English &ndash; both written and verbal.</li>
<li>Demonstrate Ownership and Accountability of their work.</li>
<li>Attention to detail</li></ul></div>

Senior Data Engineer

Rojgar group

# Senior Data Engineer## About the RoleWe are seeking an experienced **Senior Data Engineer** with expertise in cloud data engineering to join our team. This is an exceptional opportunity for a seasoned professional to work on complex data solutions, leveraging Azure cloud services and Snowflake data platform in a fully remote environment.---## Position Details- **Experience Required:** 8 years- **Location:** Offshore/Remote (Work from anywhere)- **Employment Type:** Full-time---## Mandatory Skills &amp; Key Technologies### Core Technical Expertise- **Python** - Advanced proficiency in Python for data engineering and ETL development- **ETL Engineering** - Strong hands-on experience in designing and implementing ETL pipelines- **Microsoft Azure** - Solid experience with Azure cloud services and data platform- **Snowflake** - Proven expertise in Snowflake data warehouse implementation and optimization- **Data Modelling** - Strong understanding of data modeling concepts, dimensional modeling, and data warehousing principles- **Solution Architecture** - Experience in designing end-to-end data solutions and architectural frameworks---## Required Technical Skills### Cloud &amp; Data Platform- **Azure Services:** Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure SQL Database, Azure Blob Storage- **Snowflake:** Data warehousing, SnowSQL, stored procedures, data sharing, performance tuning- Expertise in cloud-native data architecture and best practices### ETL &amp; Data Engineering- Design and development of complex ETL/ELT workflows- Data pipeline orchestration and automation- Real-time and batch data processing- Data quality and validation frameworks- Performance optimization and troubleshooting### Python &amp; Programming- Advanced Python programming for data engineering- Experience with Python libraries: Pandas, NumPy, PySpark, SQLAlchemy- Object-Oriented Programming (OOP) principles- RESTful API development and integration### Database &amp; Data Modeling- **SQL Databases:** PostgreSQL, MySQL, SQL Server- **NoSQL Databases:** MongoDB, Cosmos DB- Data modeling techniques (Star schema, Snowflake schema, Data Vault)- Database design, normalization, and optimization- Writing complex SQL queries and stored procedures### DevOps &amp; Tools- **Version Control:** Git, Azure DevOps, GitHub- **CI/CD:** Experience with automated deployment pipelines- **Containerization:** Docker, Kubernetes (preferred)- **Orchestration Tools:** Apache Airflow, Azure Data Factory- Monitoring and logging tools---## Key Responsibilities### Solution Design &amp; Architecture- Design scalable and efficient data solutions on Azure and Snowflake- Create solution architecture documents and technical specifications- Define data integration strategies and best practices- Evaluate and recommend technologies for data engineering needs### ETL Development &amp; Implementation- Develop and maintain robust ETL/ELT pipelines using Python and Azure services- Implement data ingestion from multiple sources (APIs, databases, files, streaming)- Build data transformation logic following business requirements- Ensure data quality, consistency, and reliability across pipelines### Data Platform Management- Design and implement Snowflake data warehouse solutions- Optimize Snowflake performance (clustering, partitioning, query optimization)- Manage Azure data services and infrastructure- Implement data security and governance policies### Collaboration &amp; Leadership- Collaborate with data analysts, data scientists, and business stakeholders- Provide technical guidance and mentorship to junior team members- Participate in code reviews and ensure coding standards- Document technical processes and create knowledge base articles---## Required Qualifications- **8+ years** of experience in data engineering, ETL development, or related roles- Bachelor's or Master's degree in Computer Science, Engineering, or related field- Strong understanding of data warehousing concepts and methodologies- Proven track record of delivering complex data solutions- Excellent problem-solving and analytical skills- Strong communication skills for remote collaboration---## Preferred Qualifications- Azure certifications (Azure Data Engineer Associate, Azure Solutions Architect)- Snowflake certifications (SnowPro Core, Advanced Architect)- Experience with data governance tools and frameworks- Knowledge of machine learning pipelines and MLOps- Experience with Agile/Scrum methodologies- Exposure to real-time streaming technologies (Kafka, Event Hubs)---## Ideal Candidate ProfileWe're looking for someone who:- Has deep expertise in Python-based ETL development- Demonstrates strong Azure and Snowflake knowledge- Can architect scalable and efficient data solutions- Possesses excellent data modeling and design skills- Is self-motivated and thrives in a remote work environment- Has strong analytical and problem-solving abilities- Stays current with data engineering trends and technologies- Communicates effectively across distributed teams- Takes ownership and delivers high-quality solutions---## What We Offer- **Fully remote/offshore** work model - Work from anywhere- Opportunity to work with cutting-edge cloud and data technologies- Challenging and impactful projects- Professional growth and continuous learning opportunities- Collaborative and inclusive work culture- Flexible working hours- Performance-based incentivesJob Types: Full-time, PermanentPay: &#8377;1,500,000.00 - &#8377;2,100,000.00 per yearBenefits:<ul><li>Health insurance</li><li>Life insurance</li><li>Provident Fund</li></ul>Work Location: Remote

Numentica

NuStartz is seeking an experienced Senior Data Engineer to drive the modernization of our data infrastructure. The ideal candidate will play a key role in designing, building, and optimizing data pipelines as we migrate to Google Cloud Platform (GCP)&mdash;leveraging Dataform for orchestration and transformation. You will collaborate with multiple teams to create a scalable, efficient, and future-ready data environment that supports advanced analytics and business intelligence initiatives. Key Responsibilities Design, develop, and maintain scalable data pipelines and ETL/ELT workflows. Lead the migration of existing workflows to GCP&rsquo;s Dataform and establish a robust data pipeline framework. Build efficient systems for data ingestion, transformation, and delivery across platforms. Collaborate with engineering, product, and analytics teams to ensure data accessibility and integrity. Implement and monitor data governance, quality, and performance standards. Optimize GCP resources for performance and cost efficiency. Continuously evaluate and integrate new tools and technologies to enhance pipeline performance. Required Skills &amp; Experience 6+ years of hands-on experience as a Data Engineer. Strong proficiency in SQL, Python, and data transformation frameworks. Proven experience with Google Cloud Platform (GCP) services including BigQuery, Dataform, Dataflow, Pub/Sub, and Cloud Storage. Deep understanding of ETL/ELT processes, data modeling, and data warehouse architectures. Experience with version control (Git) and CI/CD pipelines for data workflows. Solid understanding of data quality, observability, and reliability practices. Preferred Qualifications Prior experience in data migration or modernization projects. Familiarity with Airflow, dbt, or similar orchestration tools Experience with streaming data and event-driven architectures. Strong analytical, problem-solving, and communication skills. Why Join NuStartz Work hands-on with modern cloud data technologies on impactful projects. Drive the next-generation data pipeline framework from the ground up. Be part of a fast-moving, innovation-driven team that values ownership and collaboration. Opportunity to make key architectural and strategic contributions. Job Type: Full-time Pay: From &#8377;1,000,000.00 per year

Barclays

<div>Join us as a &quot;Senior Data Engineer&quot; at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences.
To be successful as a &ldquo;Senior Data Engineer&quot;, you should have experience with:
 Essential Skills/Basic Qualifications:<ul><li>
Technical expertise in Oracle Database (RDBMS) and Tableau BI - Visualization and reporting platforms, nice to have AWS architecture knowledge and hands-on experience on any cloud offering solutions.</li><li>
Expertise level on Oracle (SQL and PL/SQL), Python, Alteryx, Performance tuning, and advanced feature of Oracle like partitions, etc along with knowledge on Tableau Server Architecture.</li><li>
Expertise in Infrastructure maintenance along with good hands-on on Architecture.</li><li>
Experience and Expertise with DevOps concepts like JIRA, Jenkins/Team City, Nexus, SonarQube, Stash, Gitlab to maintain version control and creation of pipelines.</li><li>
Expertise in scheduling tools like Autosys with understanding of UNIX/Linux commands.</li><li>
Ability to lead and drive the team towards better design and innovation.</li><li>
Demonstrable security awareness and understanding of security in the broad business context.</li><li>
Proven experience with track record of delivery and project management with extensive and demonstrable expertise in supporting small, medium and large complex business and technical projects of strategic significance, end to end execution, with internal and external stakeholder management.</li><li>
Impeccable analytical, problem-solving and communication skills, including experience presenting to senior level leadership.</li><li>
Solid people management and leadership skills - Prior team handling experience in technology; solid and tenured team manager - with evidence of managing teams across a range of disciplines and locations.</li><li>
Proven ability to multi-task, manage multiple projects and stakeholders simultaneously, with attention to detail and quality of work in a high paced environment and being able to co-ordinate, manage competing priorities against stringent and demanding timelines.</li><li>
Ability to manage upwards and downwards, can negotiate and solicit engagement at all levels of the organisation, and have solid experience of working with senior stakeholders (typically VP, D level).</li><li>
Ability to have a solid impact and to influence key outcomes, budget management, cost and benefit management / realisation and resource allocation.</li><li>
Ability to take ownership of issues, drill through the root causes, execute short- and long-term actions for permanent resolutions.</li><li>
Fully up to date with developments in individual area of expertise and will be expected to keep abreast of emerging technologies and potential for application within the Bank.</li></ul>
Desirable skills/Preferred Qualifications:<ul><li>
Ability to quickly learn new business domains and processes.</li><li>
Knowledge/Experience in Cloud (AWZ/Azure/Google).</li><li>
Good to have exposure on Generative AI, Machine Learning.</li><li>
Knowledge/Experience of any coding technology like Java, Angular is an add-on.</li><li>
Knowledge/Experience of Enterprise Security Principles - Identity Access Management, Privileged Access Management and Cloud Security.</li><li>
Experience with Microsoft Office toolset.</li><li>
Experience in Governance, Risk and Control (GRC) frameworks preferred.</li></ul>
Location-Pune.
You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.

Purpose of the role
To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.
Accountabilities<ul><li>
Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.</li><li>
Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.</li><li>
Development of processing and analysis algorithms fit for the intended data complexity and volumes.</li><li>
Collaboration with data scientist to build and deploy machine learning models.</li></ul>
Assistant Vice President Expectations<ul><li>
To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.</li><li>
Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes</li><li>
If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L &ndash; Listen and be authentic, E &ndash; Energise and inspire, A &ndash; Align across the enterprise, D &ndash; Develop others.</li><li>
OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.</li><li>
Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.</li><li>
Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.</li><li>
Take ownership for managing risk and strengthening controls in relation to the work done.</li><li>
Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.</li><li>
Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.</li><li>
Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.</li><li>
Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.</li><li>
Influence or convince stakeholders to achieve outcomes.</li></ul>
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship &ndash; our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset &ndash; to Empower, Challenge and Drive &ndash; the operating manual for how we behave.</div>

Southern Cross University

<div><ul><li>Lead enterprise data solutions using Azure and cloud-native tools</li>
<li>Drive cross-domain data integration and governance frameworks</li>
<li>Enable AI, ML, and analytics with scalable data pipelines</li>
</ul>
Be Bold. Belong. Be More.

At Southern Cross University, we do things differently, and so can you.

A career with us is more than you might expect. Yes, it&rsquo;s about the heart, connectedness and community you&rsquo;d hope for in a regional university. But there&rsquo;s also so much more. Our game changing Southern Cross Model brings a deeper, focused learning experience and our research is deeply connected to our regions, making a difference on a global scale. This is your chance to help us build something new and meaningful for our students, our communities and your career. To drive change, make a real impact, and thrive in a place as unique as you.

You can be good anywhere. Here, you can be great.

Your opportunity
Southern Cross University is undergoing a bold transformation to deliver smarter, data-driven services that empower learning, research, and community impact.

As part of this journey, we&rsquo;re building a high-performing, future-ready data ecosystem to enable real-time decision-making, intelligent automation, and world-class analytics.

We are now seeking a Senior Data Engineer to lead the development of scalable data architectures, advanced integration pipelines, and cloud-first data platforms. This is a senior technical role offering the chance to shape data engineering strategy, mentor talented teams, and drive innovation across every university domain, from student experience to research impact.

Reporting to the Enterprise Architect, you will collaborate with AI Developers, Data Scientists, and cross-functional teams to deliver transformative data solutions that power the university&rsquo;s digital future.

You will make an impact by:
<ul><li>
Designing and delivering robust data architectures and pipelines across university domains using Azure Data Factory, Databricks, Synapse, and SQL</li><li>
Leading the development of cross-platform integrations with enterprise systems like TechnologyOne, Microsoft Dynamics, Blackboard, and Teams</li><li>
Establishing data governance frameworks Data Modelling and data quality practices to ensure reliable, secure, and compliant data for analytics and operations</li><li>
Collaborating with AI and analytics teams to enable advanced data science, machine learning, and enterprise insights</li><li>
Driving data engineering innovation through the adoption of emerging tools, mentoring team members, and developing technical roadmaps</li></ul>

What you will bring

You&rsquo;re a highly skilled and strategic data engineer with a passion for building scalable, cloud-native data platforms. You thrive in complex environments, lead by example, and are motivated by real-world impact and innovation.

To succeed in this role, you will also need:
<ul><li>
Ideally 8+ years in data engineering, including 3+ years in senior roles, and a degree in IT, Data Science, or a related field</li><li>
Expertise in modern data platforms including Azure Data Factory, Synapse Analytics, Databricks, and real-time streaming tools</li><li>
Strong programming skills in Python, SQL, and Scala, with deep knowledge of ETL/ELT, data modelling, and integration design</li><li>
Proven experience across enterprise systems such as TechnologyOne, Dynamics, Blackboard, with strong multi-domain data extraction and data migration skills</li><li>
Leadership in data governance and compliance, with the ability to mentor teams, drive data quality, and ensure privacy standards</li></ul>

Why Southern Cross University

SCU is proudly a regional university, young, small and vibrant. That means you&rsquo;ll find more exposure, opportunity and ownership - to grow, achieve and build a career that means more. And you&rsquo;ll do it alongside passionate people and leaders who go the extra mile to help you succeed. A career with us is about more than just work. It&rsquo;s about place, community and the life you want to live. With three main campuses at the Gold Coast, Coffs Harbour and the Northern Rivers region of NSW, we&rsquo;re integral to all these wonderful communities. Find your place and be more in this beautiful part of the world.

Your opportunity is:
<ul><li>
Full-time, continuing (permanent)</li><li>
Located at either Coffs Harbour, NSW 2450, Gold Coast, QLD 4225, or Lismore, NSW 2480. Relocation assistance is available, making it easier to join our regional communities
</li><li>The level of appointment will be commensurate with the candidate&rsquo;s qualifications, skills and experience.</li></ul>

You will enjoy a range of perks designed to support your wellbeing, growth and work-life balance. For more information on our benefits and what it&rsquo;s like to work at SCU, visit Why work at Southern Cross University?

Be more with Southern Cross University today

Southern Cross University values potential as much as experience. If you do not meet all the listed requirements but are excited about the role and confident you can contribute, we encourage you to apply or reach out for more information.
Name: Vivian Cormier 
Email: Vivian.cormier@scu.edu.au 

Applications close 11.30pm AEST 31 October 2025

Eligible applicants must have Australian or New Zealand citizenship, Australian permanent residency or current working rights in Australia for the entire duration of the appointment. Employer visa sponsorship is not available for this position.
Applicants must apply online and attach a CV and cover letter responding to the selection criteria within the position description. Information to support you prepare your application is available on our website.

Southern Cross University celebrates the rich diversity of our regions and international community. We are committed to creating an inclusive workplace that welcomes and values people of all backgrounds. We encourage applications from people of all genders, ethnicities, ages, languages, sexual orientations, and people with disabilities. We are dedicated to providing reasonable adjustments to our recruitment process to ensure every candidate can fully participate. For any support through the recruitment process reach out to jobs@scu.edu.au.

Position description</div>

Amgen

<div>Role Description:
Let&rsquo;s do this. Let&rsquo;s change the world. We are looking for highly motivated expert Senior Data Engineer who can own the design &amp; development of complex data pipelines, solutions and frameworks. The ideal candidate will be responsible to design, develop, and optimize data pipelines, data integration frameworks, and metadata-driven architectures that enable seamless data access and analytics. This role prefers deep expertise in big data processing, distributed computing, data modeling, and governance frameworks to support self-service analytics, AI-driven insights, and enterprise-wide data management.
Roles &amp; Responsibilities:<ul><li>
Design, develop, and maintain scalable ETL/ELT pipelines to support structured, semi-structured, and unstructured data processing across the Enterprise Data Fabric.</li><li>
Implement real-time and batch data processing solutions, integrating data from multiple sources into a unified, governed data fabric architecture.</li><li>
Optimize big data processing frameworks using Apache Spark, Hadoop, or similar distributed computing technologies to ensure high availability and cost efficiency.</li><li>
Work with metadata management and data lineage tracking tools to enable enterprise-wide data discovery and governance.</li><li>
Ensure data security, compliance, and role-based access control (RBAC) across data environments.</li><li>
Optimize query performance, indexing strategies, partitioning, and caching for large-scale data sets.</li><li>
Develop CI/CD pipelines for automated data pipeline deployments, version control, and monitoring.</li><li>
Implement data virtualization techniques to provide seamless access to data across multiple storage systems.</li><li>
Collaborate with cross-functional teams, including data architects, business analysts, and DevOps teams, to align data engineering strategies with enterprise goals.</li><li>
Stay up to date with emerging data technologies and best practices, ensuring continuous improvement of Enterprise Data Fabric architectures.</li></ul>
Must-Have Skills:<ul><li>
Hands-on experience in data engineering technologies such as Databricks, PySpark, SparkSQL Apache Spark, AWS, Python, SQL, and Scaled Agile methodologies.</li><li>
Proficiency in workflow orchestration, performance tuning on big data processing.</li><li>
Strong understanding of AWS services</li><li>
Experience with Data Fabric, Data Mesh, or similar enterprise-wide data architectures.</li><li>
Ability to quickly learn, adapt and apply new technologies</li><li>
Strong problem-solving and analytical skills</li><li>
Excellent communication and teamwork skills</li><li>
Experience with Scaled Agile Framework (SAFe), Agile delivery practices, and DevOps practices.</li></ul>
Good-to-Have Skills:<ul><li>
Good to have deep expertise in Biotech &amp; Pharma industries</li><li>
Experience in writing APIs to make the data available to the consumers</li><li>
Experienced with SQL/NOSQL database, vector database for large language models</li><li>
Experienced with data modeling and performance tuning for both OLAP and OLTP databases</li><li>
Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops</li></ul>
Education and Professional Certifications<ul><li>
Master&rsquo;s degree and 4 to 7 + years of Computer Science, IT or related field experience 
OR</li><li>
Bachelor&rsquo;s degree and 5 to 8 years of Computer Science, IT or related field experience</li><li>
AWS Certified Data Engineer preferred</li><li>
Databricks Certificate preferred</li><li>
Scaled Agile SAFe certification preferred</li></ul>
Soft Skills:<ul><li>
Excellent analytical and troubleshooting skills.</li><li>
Strong verbal and written communication skills</li><li>
Ability to work effectively with global, virtual teams</li><li>
High degree of initiative and self-motivation.</li><li>
Ability to manage multiple priorities successfully.</li><li>
Team-oriented, with a focus on achieving team goals.</li><li>
Ability to learn quickly, be organized and detail oriented.</li><li>
Strong presentation and public speaking skills.</li></ul>
EQUAL OPPORTUNITY STATEMENT
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.</div>

FullStackTechies

Senior Data EngineerExperience: 5 to 9 Years Location: Remote (Work from Home) / Bangalore / India Mode of Engagement: Full-time No. of Positions: 2 Educational Qualification: B.E / B.Tech / M.Tech / MCA / Computer Science / IT Industry: IT / Data / AI / LegalTech / Enterprise Solutions Notice Period: ImmediateWhat We Are Looking For:<ul><li>5&ndash;9 years of strong experience in Python-based data engineering and end-to-end data pipeline development.</li><li>Hands-on expertise in data extraction, transformation, and automation using Python, SQL, and cloud-based tools.</li><li>Proven ability in building scalable APIs, microservices, and ETL workflows with Docker/Kubernetes.</li><li>Working knowledge of AWS, PostgreSQL/MySQL, and CI/CD pipelines for deployment and monitoring.</li><li>Experience or familiarity with AI/LLM-based automation or data enrichment workflows is an advantage.</li></ul>Responsibilities:<ul><li>Design, build, and maintain data ingestion and transformation pipelines for analytics and automation systems.</li><li>Develop API-driven data delivery frameworks ensuring performance, scalability, and security.</li><li>Work on data scraping and integration from multiple structured and unstructured sources.</li><li>Collaborate with product, AI, and analytics teams to develop intelligent, data-driven workflows.</li><li>Implement data quality, validation, and monitoring standards throughout the pipeline lifecycle.</li><li>Deploy and optimize workloads using Docker, Kubernetes, AWS Lambda, and CI/CD automation.</li><li>Troubleshoot and optimize system performance for reliability and scalability.</li></ul>Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or related field.</li><li>Proficiency in Python, FastAPI/Django, SQL, and RESTful API design.</li><li>Hands-on experience with scraping tools (BeautifulSoup, Scrapy) and ETL frameworks.</li><li>Good understanding of AWS ecosystem, Docker, Kubernetes, and Git-based CI/CD workflows.</li><li>Excellent problem-solving, analytical, and collaboration skills.</li></ul>Job Types: Full-time, PermanentPay: &#8377;60,000.14 - &#8377;90,000.03 per monthBenefits:<ul><li>Health insurance</li><li>Paid sick time</li><li>Provident Fund</li><li>Work from home</li></ul>Application Question(s):<ul><li>How many end-to-end data pipeline or automation projects have you delivered successfully?</li><li>What tools or frameworks have you used to build or orchestrate data pipelines (e.g., Airflow, Prefect, Luigi, or custom-built using Python)</li><li>How many total years of experience do you have in Python-based data engineering (including data pipelines, data scraping, or API automation)?</li><li>How many end-to-end data engineering or AI-integrated projects have you delivered or led successfully?</li><li>How many years of experience do you have working with AWS or other cloud platforms (for deployment or data management)?</li><li>How many large-scale data scraping projects have you handled (mention approximate count)?</li><li>How many projects have involved AI or LLM integration (e.g., LangChain, LlamaIndex, or custom AI models)?</li><li>Notice period (days)</li><li>Current CTC (monthly)</li></ul>Work Location: Remote

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