Urgent! Observe.AI - Senior Data Engineer - Data Pipeline Job Opening In Bengaluru – Now Hiring Observe.AI
<p><p><b>About Us : </b></p><p><br/></p><p>Observe.AI enables enterprises to transform how they connect with customers through AI agents and copilots that engage, assist, and act across every channel.
From automating conversations to guiding human agents in real time to uncovering insights that shape strategy, Observe.</p><p><br/>AI turns every interaction into a driver of loyalty and growth.
Trusted by global leaders, were creating a future where every customer experience is smarter, faster, and more impactful.<br/><br/><b>Why Join U : </b></p><p><br/></p><p>At Observe.AI, data engineering isnt just about moving dataits about building scalable systems that unlock insights and create real impact.</p><p><br/>As a Senior Data Engineer, youll help modernize our data architecture, enable self-serve analytics, and deliver high-quality data products that power smarter decisions across the company.<br/><br/>Youll work on both batch and streaming systems, collaborating closely with product, analytics, and engineering leaders to ensure were solving the right data challenges the right way.<br/><br/>If youre looking for an opportunity where your ideas shape the future of data, your work fuels innovation, and your growth is supported by tackling meaningful challenges with a talented team, this is the place for you.<br/><br/><b>What Youll Be Doing :</b><br/><br/>- Build and maintain real-time and batch data pipelines using tools like Kafka, Spark, and Airflow.<br/><br/>- Contribute to the development of a scalable LakeHouse architecture using modern data formats such as Delta Lake, Hudi, or Iceberg.<br/><br/>- Contribute to building data products for inbound (ingestion) and outbound (consumption) use cases across the organization.<br/><br/>- Optimize data ingestion and transformation workflows across cloud platforms (AWS, GCP, or Azure).<br/><br/>- Support data quality, lineage, and observability using modern practices and tools.<br/><br/>- Participate in Agile processes (Sprint Planning, Reviews) and contribute to team knowledge sharing and documentation.<br/><br/>- Proficient in building pipelines on AWS, GCP, or Azure using managed services and cloud-native tools.<br/><br/>- Experience in Airflow or similar orchestration platforms.<br/><br/>- Strong in data modeling and optimizing data warehouses like Redshift, BigQuery, or Snowflake.<br/><br/><b>What Youll Bring To The Role :</b><br/><br/>- 7-9 years of experience in data engineering or backend systems with a focus on large-scale data pipelines.<br/><br/>- Working knowledge of LakeHouse formats (Delta/Hudi/Iceberg) and columnar storage like Parquet.<br/><br/>- Expertise in data modeling and optimizing data warehouses like Redshift, BigQuery, or Snowflake.<br/><br/>- Exposure to real-time OLAP tools like ClickHouse, Druid, or Pinot.<br/><br/>- Familiarity with observability tools such as Grafana, Prometheus, or Loki.<br/><br/>- Some experience integrating data with MLOps tools like MLflow, SageMaker, or Kubeflow.<br/><br/>- Bachelors or Masters Degree in Engineering.<br/><br/><b>Perks & Benefits :</b><br/><br/>- Excellent medical insurance options and free online doctor consultations.<br/><br/>- Yearly privilege and sick leaves as per Karnataka S&E Act.<br/><br/>- Generous holidays (National and Festive) recognition and parental leave policies.<br/><br/>- Learning & Development fund to support your continuous learning journey and professional development.<br/><br/>- Fun events to build culture across the organization.<br/><br/>- Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.)<br/><b><br/>Our Commitment to Inclusion and Belonging :</b></p><p><br/></p><p>Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce.</p><p><br/>Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy.<br/><br/>Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.</p><p><br/>We welcome all people.
We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals.<br/><br/>We seek to hire, develop, and retain talented people from all backgrounds.<br/><br/>Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply.<br/><br/>If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply.<br/></p><br/></p> (ref:hirist.tech)
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Unlock Your Observe AI Potential: Insight & Career Growth Guide
Real-time Observe AI Jobs Trends in Bengaluru, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Observe AI in Bengaluru, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 113069 jobs in India and 5654 jobs in Bengaluru. This comprehensive analysis highlights market share and opportunities for professionals in Observe AI roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Observe.AI is currently hiring and seeking a Observe.AI Senior Data Engineer Data Pipeline to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Observe.AI adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Observe.AI Senior Data Engineer Data Pipeline Jobs India varies, but the pay scale is rated "Standard" in Bengaluru. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Observe.AI Senior Data Engineer Data Pipeline typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Observe.AI Senior Data Engineer Data Pipeline interview at Observe.AI, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Observe.AI's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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