SDET Engineer

Review Criteria

• Strong Dremio / Lakehouse Data Architect profile
• 5+ years of experience in Data Architecture / Data Engineering, with minimum 3+ years hands-on in Dremio
• Strong expertise in SQL optimization, data modeling, query performance tuning, and designing analytical schemas for large-scale systems
• Deep experience with cloud object storage (S3 / ADLS / GCS) and file formats such as Parquet, Delta, Iceberg along with distributed query planning concepts
• Hands-on experience integrating data via APIs, JDBC, Delta/Parquet, object storage, and coordinating with data engineering pipelines (Airflow, DBT, Kafka, Spark, etc.)
• Proven experience designing and implementing lakehouse architecture including ingestion, curation, semantic modeling, reflections/caching optimization, and enabling governed analytics
• Strong understanding of data governance, lineage, RBAC-based access control, and enterprise security best practices
• Excellent communication skills with ability to work closely with BI, data science, and engineering teams; strong documentation discipline
• Candidates must come from enterprise data modernization, cloud-native, or analytics-driven companies

Preferred

• Preferred (Nice-to-have) – Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) or data catalogs (Collibra, Alation, Purview); familiarity with Snowflake, Databricks, or BigQuery environments

Job Specific Criteria

• CV Attachment is mandatory
• How many years of experience you have with Dremio?
• Which is your preferred job location (Mumbai / Bengaluru / Hyderabad / Gurgaon)?
• Are you okay with 3 Days WFO?
• Virtual Interview requires video to be on, are you okay with it?

Role & Responsibilities

You will be responsible for architecting, implementing, and optimizing Dremio-based data lakehouse environments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance of architecture design, data modeling, query optimization, and governance enablement in large-scale analytical environments.

• Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
• Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.
• Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
• Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
• Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
• Support self-service analytics by enabling governed data products and semantic layers.
• Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling.
• Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.

Ideal Candidate

• Bachelor’s or master’s in computer science, Information Systems, or related field.
• 5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
• Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).
• Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.
• Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
• Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).
• Excellent problem-solving, documentation, and stakeholder communication skills.

Strong Lead DevOps / Infrastructure Engineer Profiles.

Mandatory (Experience 1) – Must have 7+ years of hands-on experience working as a DevOps / Infrastructure Engineer.

Mandatory (Experience 2) – Candidate’s current title must be Lead DevOps Engineer (or equivalent Lead role) in the current organization

Mandatory (Experience 3) – Must have minimum 2+ years of team management / technical leadership experience, including mentoring engineers, driving infrastructure decisions, or leading DevOps initiatives.

Mandatory (Experience 4) – Must have strong hands-on experience with Kubernetes (container orchestration) including deployment, scaling, and cluster management.

Mandatory (Experience 5) – Must have experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, Chef, or Puppet.

Mandatory (Experience 6) – Must have strong scripting and automation experience using Python, Go, Bash, or similar scripting languages.

Mandatory (Experience 7) – Must have working experience with distributed databases or data systems such as MongoDB, Redis, Cassandra, Elasticsearch, or Puppet.

Mandatory (Experience 8) – Must have strong hands-on experience in Observability & Monitoring, CI/CD architecture, and Networking concepts in production environments.

Mandatory (Company) – Candidates must be from Good / Well Funded / Early Stage Product-based companies.

Mandatory (Education) –B.E/ B.Tech

Analytics Job Description

We are hiring an Analytics Engineer to help drive our Business Intelligence efforts. You will

partner closely with leaders across the organization, working together to understand the how

and why of people, team and company challenges, workflows and culture. The team is

responsible for delivering data and insights that drive decision-making, execution, and

investments for our product initiatives.

You will work cross-functionally with product, marketing, sales, engineering, finance, and our

customer-facing teams enabling them with data and narratives about the customer journey.

You’ll also work closely with other data teams, such as data engineering and product analytics,

to ensure we are creating a strong data culture at Blend that enables our cross-functional partners

to be more data-informed.

Role : DataEngineer 

Please find below the JD for the DataEngineer Role..

  Location: Guindy,Chennai

How you’ll contribute:

• Develop objectives and metrics, ensure priorities are data-driven, and balance short-

term and long-term goals

• Develop deep analytical insights to inform and influence product roadmaps and

business decisions and help improve the consumer experience

• Work closely with GTM and supporting operations teams to author and develop core

data sets that empower analyses

• Deeply understand the business and proactively spot risks and opportunities

• Develop dashboards and define metrics that drive key business decisions

• Build and maintain scalable ETL pipelines via solutions such as Fivetran, Hightouch,

and Workato

• Design our Analytics and Business Intelligence architecture, assessing and

implementing new technologies that fitting

• Work with our engineering teams to continually make our data pipelines and tooling

more resilient

Who you are:

• Bachelor’s degree or equivalent required from an accredited institution with a

quantitative focus such as Economics, Operations Research, Statistics, Computer Science OR 1-3 Years of Experience as a Data Analyst, Data Engineer, Data Scientist

• Must have strong SQL and data modeling skills, with experience applying skills to

thoughtfully create data models in a warehouse environment.

• A proven track record of using analysis to drive key decisions and influence change

• Strong storyteller and ability to communicate effectively with managers and

executives

• Demonstrated ability to define metrics for product areas, understand the right

questions to ask and push back on stakeholders in the face of ambiguous, complex

problems, and work with diverse teams with different goals

• A passion for documentation.

• A solution-oriented growth mindset. You’ll need to be a self-starter and thrive in a

dynamic environment.

• A bias towards communication and collaboration with business and technical

stakeholders.

• Quantitative rigor and systems thinking.

• Prior startup experience is preferred, but not required.

• Interest or experience in machine learning techniques (such as clustering, decision

tree, and segmentation)

• Familiarity with a scientific computing language, such as Python, for data wrangling

and statistical analysis

• Experience with a SQL focused data transformation framework such as dbt

• Experience with a Business Intelligence Tool such as Mode/Tableau

Mandatory Skillset:

-Very Strong in SQL

-Spark OR pyspark OR Python

-Shell Scripting

CoreStack, an AI-powered multi-cloud governance solution, empowers enterprises to rapidly achieve Continuous and Autonomous Cloud Governance at Scale. CoreStack enables enterprises to realize outcomes such as 40% decrease in cloud costs and 50% increase in operational efficiencies by governing operations, security, cost, access, and resources. CoreStack also assures 100% compliance with standards such as ISO, FedRAMP, NIST, HIPAA, PCI-DSS, AWS CIS & Well Architected Framework (WAF). We work with many large global customers across multiple industries including Financial Services, Healthcare, Retail, Education, Telecommunications, Technology and Government.

Responsibilities:

• Part of a Cloud Governance product team responsible for installing, configuring, automating and monitoring various Cloud Services (IaaS, PaaS, and SaaS)
• Be at the forefront of Cloud technology, assisting a global list of customers that consume multiple cloud environments.
• Ensure availability of internal & customers' hosts and services thru monitoring, analysing metric trends, investigating alerts.
• Explore and implement a broad spectrum of open source technologies. Help the team/customer to resolve technical issues.
• Extremely customer focused, flexible to be available on-call for solving critical problems.
• Contribute towards the process improvement involving the Product deployments, Cloud Governance & Customer Success.

Skills Required

• Minimum 3+ Years of experience with a B.E/B.Tech
• Experience in managing Azure IaaS, PaaS services for customer production environments
• Well versed in DevOps technologies, automation, infrastructure orchestration, configuration management and CI/CD
• Experience in Linux and Windows Administration, server hardening and security compliance
• Web and Application Server technologies (e.g. Apache, Nginx, IIS)
• Good command in at least one scripting language (e.g. Bash, PowerShell, Ruby, Python)
• Networking protocols such as HTTP, DNS and TCP/IP
• Experience in managing version control platforms (e.g. Git, SVN)

Job Description:

• Connect and engage with pre generated leads via outbound calls (approx. 80-100 calls).
• Reach out to new customers and explain to them about benefits of the Services/Product Offered.
• Initiate repeat sales by follow up phone calls from existing customers.
• Develop in-depth knowledge of products and services to make suitable recommendations based on customer needs.
• Continually meeting or exceeding daily and monthly targets with respect to call volume and sales.
• Achieve sales targets by new customer acquisition and ensure growth / revenue from existing customers
• Adhere to quality standards and processes within defined metrics.

Required Skills:

• Good communication skills
• Active listening skills
• Strong convincing skills
• Client handling skills
• Ability to handle stress and rejection in soliciting clients

Desired Skills:

• Prior experience in sales/business development/voice process will be preferred
• Solution oriented with effective problem solving skills
• Knowledge of various online portals will be an added advantage.

• Under limited supervision, oversee the design, purchase, installation, and support of network communications and services for customers, including LAN/WAN/SD-WAN services in central and remote offices (requires thorough knowledge of LAN/WAN/SD-WAN systems, networks, and applications).
• Provide technical and procedural direction for the actual implementation of the infrastructure, as well as interface with internal users, development personnel, and other technical staff to understand and meet their requirements.
• Installing, configuring, and supporting network equipment including routers, switches, firewalls, and DNS\DHCP\IPAM solutions.
• Ensures business continuity in the appropriate technology by ensuring systems are configured appropriately in order to optimize performance and to initiate recovery action after system failures.
• Procuring network equipment and managing subcontractors involved with network installation.
• Configuring firewalls, routing, and switching to maximize network efficiency and security.
• Work within a large global team and at times, work after hours and on weekends.
• Work with various networking tools, equipment, and processes.
• Perform third-level support, investigating and addressing faults in the network.
• May be responsible for evaluating current network systems performance and trending.

Qualifications:

• BS/BA degree and/or technical training/certifications (Cisco certifications).
• 5+ years experience in network implementation and operations.
• 5+ years experience working with enterprise Ethernet, VLANs, QoS, routing, switching, and IP addressing.
• Experience working with carrier technologies including MPLS, SDWAN, Ethernet, P2P, and Internet for systems interconnectivity.
• After-hours and weekend work will be required, including participation in the department on-call rotation.
• The candidate needs to be skilled in the analysis, troubleshooting, and resolution of network incidents.
• ITIL familiarization is desired (Incident/Problem/Change/Configuration Management).
• Palo Alto firewall and F5 BigIP load balancer experience.
• BlueCat DNS\DHCP\IPAM experience.
• Experience with Cisco ASR routers and IPSEC tunnels.
• Excellent communication skills and experience effectively communicating with technical and non-technical audiences
• Demonstrated efficient and effective use of problem-solving and task prioritization to solve complex network challenges
• Certificates, Licenses, and Registrations (CCVP, CCNP, CCIE)

• Translate designs and wireframes into high quality code for TV, tablets and mobile
• Design, build, and maintain high performance, reusable, and reliable Kotlin code
• Ensure the best possible performance, quality, and responsiveness of the application
• Identify and correct bottlenecks and fix bugs
• Help maintain code quality, organization, and automatization

Android Developer Requirements:

• Proven experience as an app developer (2 - 4 years).
• Strong knowledge of Android SDK, different versions of Android, and how to deal with different screen sizes
• Familiarity with RESTful APIs to connect Android applications to back-end services
• Strong knowledge of Android UI design principles, patterns, and best practices
• Experience with offline storage, threading, and performance tuning
• Ability to design applications around natural user interfaces, such as “touch”
• Familiarity with the use of additional sensors, such as gyroscopes and accelerometers
• Knowledge of the open-source Android ecosystem and the libraries available for common tasks
• Ability to understand business requirements and translate them into technical requirements
• Familiarity with cloud message APIs and push notifications
• A knack for benchmarking and optimization
• Understanding of Google’s Android design principles and interface guidelines
• Proficient understanding of code versioning tools, such as Git
• Familiarity with continuous integration

• Designing, developing, coding, testing and debugging software framework/product
• Coordinate automation testing with the Engineering team members in an Agile workflow
• Flexible to work on automation as well as development
• Create accurate and detailed bug reports when issues are identified
• Mentor and assist other Engineering team members in automation standards

Do you have the right skills?

• 2+ years of professional experience within Automation/Development
• Scripting experience in Java or Python
• Hands on experience with the Rest API testing is necessary
• Basic understanding of networking / Linux process debugging tools
• Excellent communication and analytical skills, with experience working with otherdevelopers towards a common goal
• Great communication: Provides status without prompt, brings up blockers (coding/testing) immediately, speaks up in standup / planning
• Ability to remove some roadblocks