software engineer

data engineer

data scientist

senior software engineer

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senior data engineer

FloData Analytics

<p><b>Job Title: Senior Data Engineer</b><br/><b>Job Type: Full-time (Remote)</b><br/><b>Shift Timing - 5.30-6pm to 2.30-3am IST</b><br/><b>Experience Required: 2&ndash;3 Years</b></p><p>At Flodata Analytics, we are seeking a Senior Data Engineer to join our team. The ideal candidate will be a technical leader with a passion for transforming data into strategic business insights. This role requires a high degree of proficiency in SQL and Tableau, with solid Python skills to support automation and backend processes.</p><p><b>Note - To Apply Pls fill this form - https://forms.gle/3GmQ4jNKuQ4Xxez19</b></p><p><b>Key Responsibilities:</b></p><ul><li><b>Lead Business Intelligence &amp; Analytics:</b></li><li>Design, develop, and maintain advanced Tableau dashboards and reports that provide actionable insights to senior leadership and business stakeholders.</li><li>Serve as the subject matter expert on data visualization and storytelling, ensuring all reporting is clear, accurate, and impactful.</li><li>Mentor and guide junior analysts in best practices for data visualization, SQL optimization, and dashboard designs</li><li><b>Advanced Data Management &amp; Optimization:</b></li><li>Architect and optimize complex SQL queries, database schemas, and data pipelines to ensure high-performance data retrieval and reporting.</li><li>Implement strategies to optimize Tableau extracts and database connections, significantly reducing dashboard load times</li><li><b>Backend Automation &amp; Process Improvement:</b></li><li>Develop and maintain Python scripts to automate key data processes, from ETL workflows to reporting tasks.</li><li>Contribute to architectural decisions for data pipelines, reporting, and automation.</li></ul><p><b>Required Skills &amp; Qualifications</b></p><ul><li><b>SQL:</b> Deep understanding of database design, query optimization, and complex joins. Ability to write highly efficient, maintainable, and robust SQL queries. Experience with stored procedures, functions, and performance tuning is essential.</li><li><b>Tableau:</b> Strong knowledge on Tableau, with ability to create sophisticated, interactive, and visually compelling dashboards. Experience with advanced calculations, level-of-detail (LOD) expressions, and performance optimization techniques for large datasets.</li><li><b>Python</b>: Comfortable with Python for scripting, automation, and backend development. Write clean, reusable code and be familiar with libraries like Pandas and SQLAlchemy for data manipulation and database interactions:</li><li>Strong problem-solving and analytical skills.</li><li>Excellent communication and team collaboration.</li><li>Ability to manage multiple tasks, priorities, and deadlines.</li><li>Proactive learner with a mindset to improve processes and systems.</li></ul><p>Job Types: Full-time, Permanent</p><p>Pay: &#8377;600,000.00 - &#8377;700,000.00 per year</p><p>Benefits:</p><ul><li>Health insurance</li><li>Life insurance</li><li>Provident Fund</li><li>Work from home</li></ul><p>Work Location: In person</p>

Senior Data Engineer

Ciklum

<div><p>Description</p>
<p><b>Ciklum</b> is looking for a <b>Senior Data Engineer</b> to join our team full-time in India.</p>
<p>
We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.</p>
<p><b>
About the role:</b></p>
<p>
As a Senior Data Engineer, become a part of a cross-functional development team engineering experiences of tomorrow. This role demands deep technical expertise, hands-on development experience, and the ability to mentor team members while collaborating across engineering and business units. You&rsquo;ll work on high-performance data pipelines, microservices, and analytics solutions that directly support mission-critical systems.</p>
<p>Responsibilities</p>
<ul><li>Design, develop, and maintain scalable data pipelines using PL/SQL, Oracle, MongoDB, and related technologies</li>
<li>Build data microservices using Java, Spring Boot, and containerization (Docker/Kubernetes)</li>
<li>Develop, test, and deploy ETL/ELT processes to support real-time and batch data flows</li>
<li>Work with tools like OBIEE, ODI, and Oracle APEX to deliver reporting, dashboards, and data visualization solutions</li>
<li>Optimize data processing performance and implement best practices for data reliability, scalability, and integrity</li>
<li>Collaborate with cross-functional teams to define data architecture, modeling, and integration strategies</li>
<li>Participate in code reviews, troubleshooting, and tuning of high-volume transactional data systems</li>
<li>Contribute to Agile development practices under the SAFe framework, including PI planning, system demos, and retrospectives</li>
<li>Act as a mentor and technical guide for mid- and junior-level engineers, fostering knowledge sharing and continuous improvement</li>
</ul><p>Requirements</p>
<ul><li>7+ years of experience in data engineering within large-scale, enterprise environments</li>
<li>Strong hands-on experience with:
<ul><li>PL/SQL, Oracle DB, MongoDB</li>
<li>Java, Spring Boot, Microservices</li>
<li>ETL/ELT frameworks</li>
<li>CI/CD pipelines and DevOps best practices</li>
</ul></li><li>Experience working with Oracle Business Intelligence tools (OBIEE, ODI, APEX)</li>
<li>Proficiency in data modeling, data optimization techniques, and performance tuning</li>
<li>Solid understanding of data lifecycle management, data security, and governance principles</li>
<li>Experience with cloud platforms such as AWS or Azure for data storage and processing</li>
<li>Knowledge of data visualization tools such as Power BI or Tableau</li>
<li>Excellent analytical, communication, and documentation skills</li>
<li>Ability to lead initiatives, mentor team members, and collaborate in cross-functional settings</li>
</ul><p>Desirable</p>
<ul><li>Familiarity with Kafka, event-driven architecture, or streaming platforms</li>
<li>Working experience in SAFe Agile or other scaled Agile delivery models</li>
</ul><p>What's in it for you</p>
<ul><li>Care: your mental and physical health is our priority. We ensure comprehensive company-paid medical insurance, as well as financial and legal consultation</li>
<li>Tailored education path: boost your skills and knowledge with our regular internal events (meetups, conferences, workshops), Udemy licence, language courses and company-paid certifications</li>
<li>Growth environment: share your experience and level up your expertise with a community of skilled professionals, locally and globally</li>
<li>Flexibility: hybrid work mode at Chennai or Pune</li>
<li>Opportunities: we value our specialists and always find the best options for them. Our Resourcing Team helps change a project if needed to help you grow, excel professionally and fulfil your potential</li>
<li>Global impact: work on large-scale projects that redefine industries with international and fast-growing clients</li>
<li>Welcoming environment: feel empowered with a friendly team, open-door policy, informal atmosphere within the company and regular team-building events</li>
</ul>
<p><b>About us:</b></p>
<p>
At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you&rsquo;ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress.<br>
India is a strategic innovation hub for Ciklum, with growing teams in Chennai and Pune leading advancements in EdgeTech, AR/VR, IoT, and beyond. Join us to collaborate on game-changing solutions and take your career to the next level.<br>
Want to learn more about us? Follow us on <b>Instagram</b><b>, </b><b>Facebook</b><b>, </b><b>LinkedIn</b>.</p>
<p><b>
Explore, empower, engineer with Ciklum!</b></p>
<p>Experiences of tomorrow. Engineered together</p>
<p>Interested already?
<br>
<br>
We would love to get to know you! Submit your application. Can&rsquo;t wait to see you at Ciklum.</p></div><p></p>

Amgen

<p></p><div><h2 class="jobSectionHeader"><b>Join Amgen&rsquo;s Mission of Serving Patients</b></h2><p>
At Amgen, if you feel like you&rsquo;re part of something bigger, it&rsquo;s because you are. Our shared mission&mdash;to serve patients living with serious illnesses&mdash;drives all that we do.</p><p>
Since 1980, we&rsquo;ve helped pioneer the world of biotech in our fight against the world&rsquo;s toughest diseases. With our focus on four therapeutic areas &ndash;Oncology, Inflammation, General Medicine, and Rare Disease&ndash; we reach millions of patients each year. As a member of the Amgen team, you&rsquo;ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.</p><p>
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you&rsquo;ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.</p><p></p><p><b>
Senior Data Engineer</b></p><h2 class="jobSectionHeader"><b>
What you will do</b></h2><p>
Let&rsquo;s do this. Let&rsquo;s change the world. The role is responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and executing data governance initiatives and, visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes</p><h2 class="jobSectionHeader"><b>
Roles &amp; Responsibilities:</b></h2><ul><li><p>
Design, develop, and maintain data solutions for data generation, collection, and processing</p></li><li><p>
Be a key team member that assists in design and development of the data pipeline</p></li><li><p>
Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems</p></li><li><p>
Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions</p></li><li><p>
Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks</p></li><li><p>
Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs</p></li><li><p>
Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency</p></li><li><p>
Implement data security and privacy measures to protect sensitive data</p></li><li><p>
Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions</p></li><li><p>
Collaborate and communicate effectively with product teams</p></li><li><p>
Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions</p></li><li><p>
Identify and resolve complex data-related challenges</p></li><li><p>
Adhere to best practices for coding, testing, and designing reusable code/component</p></li><li><p>
Explore new tools and technologies that will help to improve ETL platform performance</p></li><li><p>
Participate in sprint planning meetings and provide estimations on technical implementation</p></li></ul><h2 class="jobSectionHeader"><b>
What we expect of you</b></h2><p>
We are all different, yet we all use our unique contributions to serve patients.</p><p></p><p><b>
Basic Qualifications:</b></p><ul><li><p>
Doctorate degree / Master's degree / Bachelor's degree and 8 to 13 years in Computer Science, IT or related field</p></li><li><p>
Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing</p></li><li><p>
Proficiency in data analysis tools (eg. SQL) and experience with data visualization tools</p></li><li><p>
Excellent problem-solving skills and the ability to work with large, complex datasets</p></li><li><p>
Solid understanding of data governance frameworks, tools, and standard methodologies.</p></li><li><p>
Knowledge of data protection regulations and compliance requirements (e.g., GDPR, CCPA)</p></li></ul><p></p><p><b>
Preferred Qualifications:</b></p><ul><li><p>
Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development</p></li><li><p>
Solid understanding of data modeling, data warehousing, and data integration concepts</p></li><li><p>
Knowledge of Python/R, Databricks, SageMaker, cloud data platforms</p></li></ul><h2 class="jobSectionHeader"><b>
Professional Certifications (Preferred):</b></h2><ul><li><p>
AWS Certified Data Engineer / Data Analyst (preferred on Databricks or cloud environments)</p></li></ul><h2 class="jobSectionHeader"><b>
Soft Skills:</b></h2><ul><li><p>
Excellent critical-thinking and problem-solving skills</p></li><li><p>
Strong communication and collaboration skills</p></li><li><p>
Demonstrated awareness of how to function in a team setting</p></li><li><p>
Demonstrated presentation skills</p></li></ul><h2 class="jobSectionHeader"><b>
What you can expect of us</b></h2><p>
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we&rsquo;ll support your journey every step of the way.</p><p>
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.</p><h2 class="jobSectionHeader"><b>
Apply now and make a lasting impact with the Amgen team.
</b></h2><h2 class="jobSectionHeader"><b>careers.amgen.com</b></h2><p></p><p>
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.</p><p>
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.</p><p>
We will ensure that individuals with disabilities are provided 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 accommodation.</p></div><p></p>

Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>Our client is a leading global Financial markets data provider runs a number of change programs to deliver of high-quality software that connects
<br>
Financial Markets across the globe in a real-time, high frequency and low-latency data management chain.
 <br>
The projects are technically challenging in a very engaging environment making the most of cutting-edge technologies.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Design, build, and maintain scalable ETL/ELT data pipelines to support analytics, reporting, and machine learning use cases.
</p></div><div><p>Develop and optimize data models and warehouse structures in Snowflake to ensure high performance and reliability.
</p></div><div><p>Collaborate with data analysts, data scientists, and business stakeholders to understand requirements and deliver clean, reliable, and accessible datasets.
</p></div><div><p>Implement and manage data orchestration workflows (e.g., Airflow, AWS Step Functions) to ensure timely and accurate data delivery.
</p></div><div><p>Apply best practices in data governance, quality, and security across all pipelines and storage layers.
</p></div><div><p>Monitor, troubleshoot, and optimize data processes for performance, scalability, and cost efficiency.
</p></div><div><p>Leverage AWS cloud services to design resilient, scalable, and secure data architectures.
</p></div><div><p>Use Python and SQL for advanced data transformations, automation, and performance optimization.
</p></div><div><p>Document data pipelines, models, and workflows to ensure maintainability and transparency.
</p></div><div><p>Contribute to the continuous improvement of the data engineering platform, adopting new tools, frameworks, and processes.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Strong proficiency in Python for ETL/ELT development and data pipeline automation.
</p></div><div><p>Hands-on experience with AWS services (S3, Glue, Lambda, EMR, RDS) for building and managing scalable data solutions.
</p></div><div><p>Expertise in Snowflake for cloud data warehousing, performance tuning, and large-scale data management.
</p></div><div><p>Advanced SQL skills for data modeling, transformations, and query optimization.
</p></div><div><p>Practical experience with dbt for modular, version-controlled data transformations and modeling.
</p></div></div><p>Nice to have
</p><div><div><p>Experience with data orchestration tools (Airflow, Prefect, AWS Step Functions).
</p></div><div><p>Familiarity with big data frameworks (Apache Spark, Kafka, Kinesis).
</p></div><div><p>Knowledge of CI/CD pipelines and version control (GitHub/GitLab, Jenkins).
</p></div><div><p>Understanding of data modeling techniques (star/snowflake schemas, data lakehouse).
</p></div><div><p>Exposure to monitoring &amp; observability tools (CloudWatch, Datadog, Prometheus).
</p></div><div><p>Awareness of containerization and deployment (Docker, Kubernetes).
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: B2 Upper Intermediate
</p></div></div><div><div><p>Seniority</p>
<p>Senior</p></div></div></div></div></div>
<br><div><div><div><p>Bengaluru, India
</p></div><p>Req. VR-116854
</p></div><div></div><div><div><p>BigData Development
</p></div><div><p>BCM Industry</p>
</div><div><p>05/09/2025
</p></div><div><p>Req. VR-116854</p></div></div></div><p></p>

Brillio LLC

<div><h1 class="jobSectionHeader"><b>Senior Data Engineer - R01554012</b></h1>
<p></p><div><b>Senior Data Engineer</b></div><h6 class="jobSectionHeader"><b>
Primary Skills</b></h6><ul><li>
ETL Fundamentals, SQL, SQL (Basic + Advanced), Python, Data Warehousing, Modern Data Platform Fundamentals, Data Modelling Fundamentals, PLSQL, T-SQL, Stored Procedures
</li></ul><h6 class="jobSectionHeader"><b>Job requirements</b></h6><ul><li>
EDW/ETL(Informatica, IICS, BODS, Oracle, SQL)
</li><li><b>Job Purpose</b></li><li>
As a Lead Data Engineer, you will be responsible for end-to-end ownership of data engineering solutions for the Enterprise Data Warehouse (EDW). You will design, architect, and optimize scalable and secure data pipelines leveraging BODS, Informatica IICS, SQL, Oracle and modern data platforms. You will lead a team, drive technical best practices, and partner with business and technology stakeholders to deliver critical data solutions.</li><li><b>
Key</b><b> Responsibilities</b>Architect, design, and lead the development of complex data integration pipelines for EDW, ODS, and Data Marts.Ensure compliance with data governance, privacy, and security standards.Lead impact analysis, design reviews, and release management for data engineering projects.Own performance optimization of ETL pipelines, SQL queries, and database objects.Mentor and guide junior engineers, manage deliverables, and ensure high-quality outcomes.Drive adoption of cloud-based solutions (Snowflake, AWS) and automation for data workflows.Partner with Product Owners to align delivery with business goals and PI objectives.Provide L3 technical support for production incidents.</li><li><b>
Required</b><b> Skills &amp; Qualifications</b>Strong expertise in ETL tools (BODS, Informatica IICS) and SQL (Oracle, Netezza, Teradata).Hands-on experience in data architecture, modeling (Dimensional &amp; Relational), and optimization.Advanced performance tuning for large-scale pipelines and DB objects.Familiarity with cloud data platforms (Snowflake, AWS, BigQuery, Redshift).Strong leadership skills to guide a small team of engineers.Excellent communication, stakeholder engagement, and problem-solving abilities.Prior experience in the Financial Services domain is highly desirable.</li></ul></div><p></p>

Senior Data Engineer – R01554012

Etaclam Techno Services

<p>Job Title: Data Engineer</p><p>Work Experience: 8 to 10 years</p><p>Skills Required: ODI; Oracle Data Warehouse; ETL; Python; SQL</p><p>We are seeking an experienced Enterprise Data Engineer to design, build, and optimize large-scale data integration and warehouse solutions. The ideal candidate will have hands-on expertise in Oracle Data Integrator (ODI), Oracle Data Warehouse, Oracle Database, Advanced SQL, Python programming, and performance tuning for both ODI and databases.<br/>Key Responsibilities<br/>&bull;&emsp;&emsp;Design, build, and maintain data pipelines to integrate data from multiple enterprise systems into the data warehouse.<br/>&bull;&emsp;&emsp;Develop and optimize ETL processes using Oracle Data Integrator.<br/>&bull;&emsp;&emsp;Develop, implement, and orchestrate ETL pipelines using Oracle Data Integrator (ODI) within Oracle Data Warehouse and Oracle Database environments.<br/>&bull;&emsp;&emsp;Write and optimize advanced SQL queries for performance</p><p>Job Type: Contractual / Temporary<br/>Contract length: 6 months</p><p>Pay: &#8377;150,000.00 per month</p><p>Experience:</p><ul><li>engineeering: 8 years (Required)</li></ul><p>Work Location: Remote</p>

VWorker Solutions India Pvt Ltd

<p><b>Profile</b>: Data Engineer</p><p><b>Skills</b>: AWS S3, Python, MongoDB, React</p><p><b>Experience</b>: 7+ Years</p><p><b>Time</b>: 3 Hrs Per Day (Between 7 AM IST to 11 AM IST)</p><p><b>Location</b>: Remote</p><p><b>Job Summary:</b></p><p>We are seeking a highly skilled <b>Data Engineer</b> with strong expertise in <b>AWS S3, Python, MongoDB</b>, and a good understanding of <b>React UI design</b>. The ideal candidate will be responsible for designing and implementing efficient data storage solutions, handling large volumes of structured and unstructured data (including images and videos), and supporting scalable application development.</p><p><b>Key Responsibilities:</b></p><ul><li>Design, develop, and maintain scalable data pipelines and storage solutions on <b>AWS S3</b>.</li><li>Build and optimize data models for <b>structured and unstructured data</b> including images, videos, and documents.</li><li>Develop and maintain <b>ETL processes</b> using Python to ingest, transform, and process data efficiently.</li><li>Work with <b>MongoDB</b> to manage and query large-scale datasets.</li><li>Collaborate with UI/UX teams to provide <b>data APIs</b> and support <b>React-based UI integration</b>.</li><li>Ensure <b>data quality, integrity, and security</b> across storage and processing systems.</li><li>Optimize data retrieval and storage strategies for <b>high-performance applications</b>.</li><li>Monitor and troubleshoot data pipelines, ensuring <b>reliability and availability</b>.</li><li>Stay updated with <b>cloud technologies, data engineering trends, and best practices</b>.</li></ul><p><b>Required Skills &amp; Qualifications:</b></p><ul><li>Strong experience with <b>AWS S3</b> for scalable storage and data management.</li><li>Proficiency in <b>Python</b> for data processing, automation, and API development.</li><li>Hands-on experience with <b>MongoDB</b> for NoSQL data modeling and query optimization.</li><li>Knowledge of <b>React UI design principles</b> and ability to integrate backend services with frontend components.</li><li>Experience handling <b>image and video storage, retrieval, and optimization</b>.</li><li>Understanding of <b>data pipelines, ETL processes, and workflow orchestration</b>.</li><li>Familiarity with <b>API development (REST/GraphQL)</b> for frontend-backend communication.</li><li>Strong problem-solving skills and ability to work in cross-functional teams.</li></ul><p>Job Type: Part-time</p><p>Pay: From &#8377;30,000.00 per month</p><p>Expected hours: 15 per week</p><p>Benefits:</p><ul><li>Work from home</li></ul><p>Experience:</p><ul><li>Data Engineer: 7 years (Required)</li><li>Python: 5 years (Required)</li><li>AWS: 4 years (Required)</li><li>React: 2 years (Required)</li></ul><p>Work Location: Remote</p>

Explore 7555+ Senior data engineer in India this September. Find roles across top companies and apply now to boost your career.

7555 senior data engineer jobs IN India

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer – R01554012

Senior Data Engineer

Senior Data Engineer