software engineer

data scientist

senior graphic designer

data analyst

senior software engineer

senior data engineer

ZEN Cloud Systems Private Limited

<p>Lead / Sr. Data Engineer &ndash; Miso Robotics</p><p><b>Location:</b> Hyderabad<br/><b>Shift:</b> Late noon shift (3:30/4:00 PM IST &ndash; 1:30 AM IST)</p><p><b>Experience:</b></p><ul><li><b>Sr. Data Engineer:</b> 5+ years</li><li><b>Lead / Senior+ Role:</b> 7+ years</li></ul><p>Required Skills</p><ul><li>Strong experience in <b>data engineering (5+ / 7+ years)</b></li><li>Data pipeline design (batch &amp; streaming)</li><li>AWS &amp; GCP cloud data platforms</li><li>Advanced <b>SQL &amp; data modeling</b></li><li>Sensor, telemetry, and log data handling</li><li>ML data support &amp; dataset management</li><li>Monitoring, diagnostics, and performance optimization</li><li>Linux environment experience</li><li>Strong communication and collaboration skills</li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p>

Senior Data Engineer

Oro Careers And More

<p><b>Experience Required: </b>5 to 7 years</p><p><b>Job Description:</b></p><p>We are hiring a senior data engineer to lead the development of scalable data pipelines and enable enterprise analytics. The role involves working with Databricks, Snowflake, PySpark, Microsoft Fabric, and Power Platforms.</p><p><b>Key Responsibilities:</b></p><p>Design and maintain scalable ETL and ELT pipelines using Databricks and Snowflake</p><p>Tune complex SQL queries and implement stored procedures, transformations, and CDC patterns</p><p>Integrate data flows across Microsoft Fabric, Databricks, and Snowflake ensuring governance and monitoring</p><p>Provide curated datasets and semantic models for Power BI, Power Apps, and Power Automate</p><p>Collaborate with stakeholders, troubleshoot production issues, document workflows, and mentor peers</p><p><b>Required Skills:</b></p><p>Strong experience in Python with PySpark</p><p>Expertise in SQL performance tuning and pipeline orchestration</p><p>Hands on experience with Databricks, Snowflake, Microsoft Fabric, and Power Platforms</p><p>Experience in stakeholder engagement and documentation</p><p>Advanced Power BI experience is a plus</p><p>Job Type: Full-time</p><p>Pay: Up to ₹1,800,000.00 per year</p><p>Work Location: In person</p>

Acenet consulting

<div><div><b>Experience:</b> 8 to 10 years
<br>
<b>Location:</b> Bengaluru
<br>
<b>Job code:</b> 101397
<br>
<b>Posted on:</b> Jan 12, 2026<br>
</div><br>
<p>About Us:<br>
AceNet Consulting is a fast-growing global business and technology consulting firm leveraging a consultative approach, deep domain expertise and strong technology capabilities across business transformation, IT strategy &amp; architecture, digital transformation, data engineering &amp; analytics, AI/ML, cloud &amp; infrastructure, enterprise applications and emerging technologies to deliver value to our global clients. AceNet&rsquo;s marquee clients include Tier-1 and Tier-2 banking &amp; financial services, asset &amp; wealth management, healthcare, consumer retail, eCommerce &amp; logistics, engineering, government &amp; public sectors, consulting and technology firms. With presence across Abu Dhabi UAE, Texas USA and India (Bangalore, Gurgaon &amp; Pune), AceNet brings strong consulting and delivery capabilities across project staffing, managed services, outsourcing and offshoring.</p>
<p>Job Summary:<br>
We are seeking a highly skilled Senior Data Engineer with experience in designing and building scalable, cloud-native data platforms. The ideal candidate will have deep hands-on expertise in big data technologies, distributed systems, and modern data architectures, with the ability to translate complex business requirements into reliable data solutions.</p>
<div>Key Responsibilities:<br>
<ul><li>Design, develop, and maintain scalable, reliable, and high-performance data pipelines and platforms.</li><li>Build and optimize batch and real-time data processing workflows.</li><li>Develop reusable components, frameworks, and data tools to improve engineering efficiency.</li><li>Ensure performance optimization, cost efficiency, and data quality across data workflows.</li><li>Collaborate with data scientists, analysts, product managers, and business stakeholders to deliver data-driven solutions.</li><li>Participate in system monitoring, troubleshooting, and incident resolution.</li><li>Follow best practices for data security, governance, and compliance.</li></ul>
Strong problem-solving and analytical skills with attention to detail.<br>
<ul><li>Ability to clearly communicate technical concepts to non-technical stakeholders.</li><li>Collaborative mindset and ability to work effectively in cross-functional teams.</li><li>Proactive attitude with a strong desire to transform data into actionable insights.</li></ul></div>
<div>Role Requirements and Qualifications:<br>
<ul><li>8&ndash;10 years of experience in software and data engineering.</li><li>Strong foundation in distributed systems, cloud-native architectures, and data platforms.</li><li>Expertise in big data technologies such as Apache Spark and real-time streaming frameworks like Apache Kafka.</li><li>Proficiency in programming languages such as Python, Java, C++, and SQL.</li><li>Advanced experience with at least one major cloud platform (AWS, Azure, or GCP) and its data services.</li><li>Hands-on experience with Infrastructure as Code (IaC) tools such as Terraform or AWS CloudFormation.</li><li>Strong understanding of advanced data modeling techniques and modern data warehouses.</li><li>Experience in at least one of the following domains: SCM, Marketing, or Federated Data Models (mandatory).</li><li>Ability to design scalable, fault-tolerant, and maintainable data systems.</li></ul></div>
<div>Why Join Us:<br>
<ul><li>Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.</li><li>Continuous investment in employee growth and professional development with a strong focus on up &amp; re-skilling.</li><li>Competitive compensation &amp; benefits, ESOPs and international assignments.</li><li>Supportive environment with healthy work-life balance and a focus on employee well-being.</li><li>Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.</li></ul></div>
<p>How to Apply:<br>
If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.</p></div>

Commonwealth Bank of Australia

<p></p><div><p><b>Organization:
</b></p><p>At CommBank, we never lose sight of the role we play in other people&rsquo;s financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things.
</p><p></p><p><b>Job Title: </b>Senior Data Engineer
</p><p><b>Location: </b>Bangalore
</p><p></p><p><b>Business &amp; Team:
</b></p><p>Retail Technology is responsible for the world leading application of technology and operations across every aspect of CommBank, from innovative product platforms for our customers to essential tools within our business. We also use technology to drive efficient and timely processing, an essential component of great customer service.
</p><p>You will be working as a part of Retail Technology to achieve their strategic objectives through planning, prioritising, delivering and supporting projects and initiatives. Your team&rsquo;s success will be realised through partnering with business and IT teams across both business domain and Technology to deliver beautiful experiences and exceptional capabilities to our branch applications
</p><p></p><p><b>Impact &amp; contribution:
</b></p><ul><li>Utilise advanced expertise and a broad range of concepts, technology and domain knowledge to develop and deliver world class software solutions to meet business needs.
</li><li>You will contribute to the financial well-being of our customers by ensuring that our team builds the best solutions possible using modern development practices that ensure both functional and non-functional needs are met.
</li></ul><ul><li>Conduct incident analysis and triage to minimize downtime effectively.
</li><li>Design and implement and support scalable, cloud-native systems and APIs.
</li><li>Serve as a Full Stack Developer with strong coding capabilities in .NET and related technologies.
</li><li>Work extensively with Oracle Database, focusing on architecture and performance tuning.
</li><li>Monitor and resolve issues using tools like Splunk, Grafana, and AppDynamics and .net skill
</li><li>Collaborate with cross-functional teams to enhance workflows and reliability.
</li><li>Participate in 24/7 on-call support approximately twice every two months, ensuring zero downtime for critical banking applications.
</li><li>Be fully engaged during major incidents to restore service promptly.
</li></ul><p></p><p><b>Key Responsibilities:
</b></p><ul><li>Design and develop highly reliable and scalable data pipelines and data platforms with comprehensive test coverage.
</li><li>Collaborate with stakeholders to analyse and translate requirements to technical implementation. Identify and drive opportunities for continuous improvement within the team and in delivery of products.
</li><li>Provide mentoring and technical assistance to other members of the team, including more junior Data Engineers.
</li><li>Produce high quality, sustainable solutions to meet business requirements, leveraging approved delivery frameworks and by applying industry best practice. Provide technical governance of product delivery to ensure successful delivery and adoption.
</li><li>Deliver data engineering solutions aligned to core concepts of data design, preparation, transformation, and load.
</li><li>Build and implement data pipelines in distributed data platforms including warehouses, databases, data lakes and cloud lakehouses to enable data predictions and models, and reporting and visualisation analysis via data integration tools and frameworks.
</li><li>Contribute to domain planning, providing guidance to ensure that technical deliveries are aligned to engineering direction and strategy.
</li></ul><p></p><p><b>Essential Skills:
</b></p><ul><li>Apache Spark;
</li><li>Big Data; Data Engineering; Design (Job Details);
</li><li>Python (Programming Language);
</li><li>Spark SQL (Worker Profiles);
</li><li>Structured Query Language (SQL); Teamwork
</li></ul><p></p><p><b>Education Qualifications:
</b></p><p>Bachelor&rsquo;s degree in engineering in Computer Science/Information Technology
</p><p></p><div><div><div><div><div><div><div><p>If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We&rsquo;re keen to support you with the next step in your career.
</p><p></p><p>We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696.
</p></div></div></div></div></div></div></div><p></p>Advertising End Date: 03/02/2026</div>

Brillio LLC

<div><h1 class="jobSectionHeader"><b>Senior Data Engineer - R01555151</b></h1>
<p></p><div><b>Lead 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>Specialization</b></h6><ul><li>
ETL Specialization: Data Engineer
</li></ul><h6 class="jobSectionHeader"><b>Job requirements</b></h6><ul><li>DataStage + Netezza combination o Scheduler: Control-M o ETL: DataStage o Database: Netezza</li></ul></div><p></p>

Senior Data Engineer – R01555151

ClanX

<div><p>Senior Data Engineer role responsible for building and owning scalable, secure data pipelines and trusted datasets that power analytics, modelling, and leadership decisions.</p><p></p><p><b>
Company details</b><br>
Varahe Analytics is India&rsquo;s leading integrated political consulting firm delivering data-driven, end-to-end election management solutions across research, analytics, media, and campaign operations.<br>
Website: https://varahe.com/</p><p></p><p><b>
Requirements</b></p><ul><li><p>
5+ years of hands-on Data Engineering experience</p></li><li><p>
Strong experience with AWS services such as S3, IAM, Glue, EMR/EKS/ECS, Lambda, Redshift, CloudWatch</p></li><li><p>
Advanced proficiency in Python and SQL</p></li><li><p>
Experience with Airflow and distributed systems like Hive, Presto, or Trino</p></li><li><p>
Strong understanding of data lake and warehouse architectures such as Delta Lake, Snowflake, BigQuery, or Redshift</p></li><li><p>
Strong knowledge of ETL/ELT, data modelling, and orchestration patterns</p></li><li><p>
Exposure to streaming systems like Kafka, Kinesis, Spark Streaming, or Flink</p></li><li><p>
Experience with CI/CD, Docker, and Infrastructure as Code tools like Terraform</p></li><li><p>
Strong ownership mindset and ability to manage systems end-to-end</p></li></ul><p><b>
Responsibilities</b></p><ul><li><p>
Design, build, and operate production-grade data pipelines for analytics, modelling, dashboards, and reporting</p></li><li><p>
Integrate and standardize data from multiple sources with consistent identifiers</p></li><li><p>
Create and maintain trusted datasets and data marts for repeated use</p></li><li><p>
Ensure reliability through monitoring, SLAs, and pipeline performance tuning</p></li><li><p>
Own and improve AWS-based data architecture with focus on security, scalability, and cost optimization</p></li><li><p>
Implement data governance, access controls, lineage, and auditability</p></li><li><p>
Set engineering standards through code reviews, testing, documentation, and runbooks</p></li><li><p>
Mentor junior data engineers and support team growth</p></li><li><p>
Partner with analysts and stakeholders to define consistent metrics and datasets</p></li></ul><p><b>
Job Details</b><br>
Job location: Noida</p><p><b>
Interview process</b></p><ul><li><p>
HR screening round</p></li><li><p>
Technical interview round</p></li><li><p>
Data engineering or system design round</p></li><li><p>
Final leadership round</p></li></ul><p></p><p><b>
Important Note</b><br>
ClanX is a recruitment partner, helping Varahe Analytics hire Senior Data Engineer.</p></div>

Senior Data Engineer - Noida

Indegene

<p></p><div><div><div><div><div><b>Date: </b>19 Jan 2026
</div></div></div></div><div><div><div><div><b>Location:
</b>KA, IN
</div></div></div></div><div><div><div><div><div><div><div><div>Job Description</div>
</div><div><div>
We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations to be future-ready. We offer accelerated, global growth opportunities for talent that&rsquo;s bold, industrious, and nimble. With Indegene, you gain a unique career experience that celebrates entrepreneurship and is guided by passion, innovation, collaboration, and empathy. To explore exciting opportunities at the convergence of healthcare and technology, check out www.careers.indegene.com Looking to jump-start your career? We understand how important the first few years of your career are, which create the foundation of your entire professional journey. At Indegene, we promise you a differentiated career experience. You will not only work at the exciting intersection of healthcare and technology but also will be mentored by some of the most brilliant minds in the industry. We are offering a global fast-track career where you can grow along with Indegene&rsquo;s high-speed growth. We are purpose-driven. We enable healthcare organizations to be future ready and our customer obsession is our driving force. We ensure that our customers achieve what they truly want. We are bold in our actions, nimble in our decision-making, and industrious in the way we work.</div><br>
<div></div>
<div>
Role: Sr. Data Ops Engineer</div><br>
<div></div>
<div>
Description: We are seeking a highly skilled Sr. Data Ops Engineer with 4+ years of experience in data engineering and architecture. This role is ideal for an expert who brings deep hands-on experience with Databricks, Apache Spark, and cloud platforms (AWS, Azure, or GCP), along with a strong foundation in designing and implementing scalable, secure, and high-performing data solutions.You will be responsible for driving the design and implementation of modern data architectures including data lakes, data warehouses, and streaming systems, while working closely with cross-functional teams to ensure alignment with business goals. This is a strategic technical role with a strong focus on execution and continuous improvement.</div></div></div><div><div><div>
Must Have</div>
</div><div><div>
Responsibilities<br>
&bull; Data Architecture &amp; Design -Design robust, scalable, and high-performing data architecture using Databricks and Apache Spark.&bull; Define and implement data lake, data warehouse, and real-time streaming solutions. Develop architecture blueprints and documentation to support technical and business stakeholders.<br>
<ul><li>Configure, monitor, and optimize Databricks clusters for performance and cost-efficiency. Apply best practices in cluster sizing, autoscaling, and performance tuning.</li><li>Lead, design and develop complex ETL/ELT pipelines for batch and real-time data ingestion using Databricks. Implement modular and reusable components for scalable data processing workflows.</li><li>Integrate Databricks with cloud-native storage solutions (e.g., AWS S3, Azure Data Lake, GCS) and other data services. Support hybrid and multi-cloud deployments were required.</li><li>Ensure compliance with security standards, IAM policies, encryption, and regulatory requirements.</li><li>Mentor junior engineers and guide them on best practices in Databricks and big data engineering.</li><li>Evaluate and recommend new tools, frameworks, and best practices in the Databricks ecosystem.</li><li>Stay up to date with the latest in Delta Lake, Databricks SQL, MLflow, and open-source Spark enhancements.</li></ul></div><div><br>
<br>
About You (Desired Profile)<br>
&bull; 4+ years of experience in data engineering, big data, or cloud data architecture roles. Strong expertise in Databricks, Apache Spark, and Delta Lake.&bull; Proven experience designing and delivering large-scale data lakes, warehouses, and streaming platforms.<br>
<ul><li>In-depth experience with cloud platforms (AWS, Azure, or GCP), including native services and integration patterns.</li><li>Strong coding skills in Python, Scala, or SQL.</li><li>Solid understanding of data governance, security, IAM, and regulatory compliance in cloud environments.</li><li>Experience with tools like Airflow, dbt, or CI/CD pipelines for data.</li><li>Excellent problem-solving, documentation, and communication skills.</li><li>Bachelor&rsquo;s degree in computer science, Data Engineering, or related field (Master&rsquo;s preferred).</li><li>Experience working in the pharmaceutical domain is a plus.</li><li>Certifications in Databricks, AWS, or Azure (or actively working toward them).</li><li>Exposure to Unity Catalog, Delta Lake, or Databricks SQL.</li><li>Knowledge of data governance, IAM, or cloud security practices.</li></ul></div><div><br>
<br>
Preferred Qualifications<br>
<ul><li>Certifications in Databricks (e.g., Databricks Certified Data Engineer or Architect).</li><li>Certifications in AWS, Azure, or GCP.</li><li>Experience working in regulated industries (e.g., pharmaceuticals, finance).</li><li>Exposure to ML Ops tools and machine learning pipelines within Databricks.</li></ul></div></div></div><div><div><div>
Good to have</div>
</div></div><div></div><div><div><div>EQUAL OPPORTUNITY</div>
</div><div>Indegene is proud to be an Equal Employment Employer and is committed to the culture of Inclusion and Diversity. We do not discriminate on the basis of race, religion, sex, colour, age, national origin, pregnancy, sexual orientation, physical ability, or any other characteristics. All employment decisions, from hiring to separation, will be based on business requirements, the candidate&rsquo;s merit and qualification. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristics.</div></div></div></div></div></div></div></div><p></p>

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7550 senior data engineer jobs IN India

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer – R01555151

Senior Data Engineer - Noida

Senior Data Engineer