
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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At e6data (https://e6x.io/" target="_blank">https://e6data.io) we’re building core algorithms that make querying 25 - 200X more performant (i.e. faster and/or cheaper) than every other analytics platform in the world. This results in billions of dollars of value unlocked across faster analytics, savings on computing/infra, and new use cases become possible.
Our core team has 100+ years of combined experience and 10+ patents across diverse but complementary disciplines like real-time databases, time-series databases, SQL OLAP engines, distributed computing platforms, stream processing, and log analytics. Two of the founding team are second-time founders with past exits.
We are passionate about solving the deepest and most important problems in computer science and believe in making our technology available to customers regardless of their location, size, or budget. Our vision is for e6data to power every analytical workload in the world - regardless of deployment scenario (cloud, on-premise, edge), across every use case (end-user queries, ETL / data pipelines), and every latency requirement (batch, streaming / real-time).
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- Write awesome code
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- Build our internal Data Platform using e6data
- Adding scalable functionality to the core e6data engine for new features like UDFs, SQL functions, etc
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1) Working on android mobile app with both design and development on Android java (Android studio)
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