
Experience Level
10+ years of experience in data engineering, with at least 3–5 years providing architectural guidance, leading teams, and standardizing enterprise data solutions. Must have deep expertise in Databricks, GCP, and modern data architecture patterns.
Key Responsibilities
- Provide architectural guidance and define standards for data engineering implementations.
- Lead and mentor a team of data engineers, fostering best practices in design, development, and operations.
- Own and drive improvements in performance, scalability, and reliability of data pipelines and platforms.
- Standardize data architecture patterns and reusable frameworks across multiple projects.
- Collaborate with cross-functional stakeholders (Product, Analytics, Business) to align data solutions with organizational goals.
- Design data models, schemas, and dataflows for efficient storage, querying, and analytics.
- Establish and enforce strong data governance practices, ensuring security, compliance, and data quality.
- Work closely with governance teams to implement lineage, cataloging, and access control in compliance with standards.
- Design and optimize ETL pipelines using Databricks, PySpark, and SQL.
- Ensure robust CI/CD practices are implemented for data workflows, leveraging Terraform and modern DevOps practices.
- Leverage GCP services such as Cloud Functions, Cloud Run, BigQuery, Pub/Sub, and Dataflow for building scalable solutions.
- Evaluate and adopt emerging technologies, with exposure to Gen AI and advanced analytics capabilities.
Qualifications & Skills
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
- Extensive hands-on experience with Databricks (Autoloader, DLT, Delta Lake, CDF) and PySpark.
- Expertise in SQL and advanced query optimization.
- Proficiency in Python for data engineering and automation tasks.
- Strong expertise with GCP services: Cloud Functions, Cloud Run, BigQuery, Pub/Sub, Dataflow, GCS.
- Deep understanding of CI/CD pipelines, infrastructure-as-code (Terraform), and DevOps practices.
- Proven ability to provide architectural guidance and lead technical teams.
- Experience designing data models, schemas, and governance frameworks.
- Knowledge of Gen AI concepts and ability to evaluate practical applications.
- Excellent communication, leadership, and stakeholder management skills.

About Cymetrix Software
About
Cymetrix is a global CRM and Data Analytics consulting company. It has expertise across industries such as manufacturing, retail, BFSI, NPS, Pharma, and Healthcare. It has successfully implemented CRM and related business process integrations for more than 50+ clients.
Catalyzing Tangible Growth: Our pivotal role involves facilitating and driving actual growth for clients. We're committed to becoming a catalyst for dynamic transformation within the business landscape.
Niche focus, limitless growth: Cymetrix specializes in CRM, Data, and AI-powered technologies, offering tailored solutions and profound insights. This focused approach paves the way for exponential growth opportunities for clients.
A Digital Transformation Partner: Cymetrix aims to deliver the necessary support, expertise, and solutions that drive businesses to innovate with unwavering assurance. Our commitment fosters a culture of continuous improvement and growth, ensuring your innovation journey is successful.
The Cymetrix Software team is under the leadership of agile, entrepreneurial, and veteran technology experts who are devoted to augmenting the value of the solutions they are delivering.
Our certified team of 150+ consultants excels in Salesforce products. We have experience in designing and developing products and IPs on the Salesforce platform enables us to design industry-specific, customized solutions, with intuitive user interfaces.
Candid answers by the company
Cymetrix is a global CRM and Data Analytics consulting company. It has expertise across industries such as manufacturing, retail, BFSI, NPS, Pharma, and Healthcare. It has successfully implemented CRM and related business process integrations for more than 50+ clients.
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Short Description -
We at Devaseva are looking for a Human Resources enthusiast to join our power team and grow with us. If you are passionate about pursuing a career in Human Resources and growing in a dynamic fast paced startup environment, irrespective of your educational background and work experience we are happy to consider your profile. Inclination and passion towards the company's vision and mission is definitely an added advantage.
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Ruby on Rails Developer Requirements:
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- Training and Development.
- Employer-Employee Relations.
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- Manage Employee Benefits.
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- Handle Disciplinary Actions.
Qualifications
- Bachelor's degree or relevant experience
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Bachelor’s or master’s degree in Computer Engineering, Computer Science, Computer Applications, Mathematics, Statistics, or related technical field. Relevant experience of at least 3 years in lieu of above if from a different stream of education.
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▪ Micro services Architecture, API Modeling, Design, & Programming -
3+ years of hands-on development experience in Apache Spark using Scala and/or Java.
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Ability to write executable code for Services using Spark RDD, Spark SQL, Structured Streaming, Spark MLLib, etc. with deep technical understanding of Spark Processing Framework.
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In-depth knowledge of standard programming languages such as Scala and/or Java.
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3+ years of hands-on development experience in one or more libraries & frameworks such as Apache Kafka, Akka, Apache Storm, Apache Nifi, Zookeeper, Hadoop ecosystem (i.e., HDFS, YARN, MapReduce, Oozie & Hive), etc.; extra points if you can demonstrate your knowledge with working examples.
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3+ years of hands-on development experience in one or more Relational and NoSQL datastores such as PostgreSQL, Cassandra, HBase, MongoDB, DynamoDB, Elastic Search, Neo4J, etc.
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Practical knowledge of distributed systems involving partitioning, bucketing, CAP theorem, replication, horizontal scaling, etc.
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Passion for distilling large volumes of data, analyze performance, scalability, and capacity performance issues in Big Data Platforms.
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Ability to clearly distinguish system and Spark Job performances and perform spark performance tuning and resource optimization.
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Perform benchmarking/stress tests and document the best practices for different applications.
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Proactively work with tenants on improving the overall performance and ensure the system is resilient, and scalable.
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Good understanding of Virtualization & Containerization; must demonstrate experience in technologies such as Kubernetes, Istio, Docker, OpenShift, Anthos, Oracle VirtualBox, Vagrant, etc.
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Good understanding of Storage, Networks and Storage Networking basics which will enable you to work in a Cloud environment.
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5 - 8 years of Python 3 skills
5+ years hands of Django framework
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Self-motivated, team player comfortable in a high-growth environment
Be friendly, fun, awesome to be around
Energetic, engaging personality
Track record of over-achievement
Passionate about what you do and care deeply about the things you build
Able to clearly communicate with both technical and non-technical audiences
We love team players who will jump in to help get a project done
Tech you'll use:
PythonDjangoMariaDB, AWS, DO, Redis, RabbitMQ.









