Technical Support Engineer

1) Be open to learn new frameworks like Hapi.JS , Typescript , Nest.JS

2) Strong DB concepts , and hands on knowledge on MongoDB , REDIS

3) Experience working with micro-services will be a plus

4) Experience working with JWT and IAM systems will be a plus

5) Experience working with Postman , Swagger will be a plus

6) TDD knowledge is an advantage and also working with Unit Test code and familiar with test code coverage concepts.

7) Strong operating system knowledge is a plus with knowledge of how to manage threads.

8) Working experience with RabbitMQ , Kafka will be a plus

9) Strong knowledge of JS internals is a must.

You can contact me on nine three one six one two zero one three two

Key Responsibilities

1. Lead Generation: Identify and source potential clients/customers through LinkedIn, databases, and online research.

2. Cold Calling & Outreach: Make daily outbound calls and messages to connect with prospects and introduce the company.

3. Pitching & Selling: Explain products/services confidently, handle basic queries, and build interest among leads.

4. Follow-ups & Conversions: Regularly follow up with interested prospects and work towards closing sales.

5. Meeting Coordination: Schedule meetings/demos with qualified leads for the senior sales team.

6. Reporting & Data Management: Maintain proper records of leads, calls, and outcomes in Excel/CRM and submit regular updates.

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:

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

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.

Preferred:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) and data catalogs (Collibra, Alation, Purview).
• Exposure to Snowflake, Databricks, or BigQuery environments.
• Experience in high-tech, manufacturing, or enterprise data modernization programs.

Sr. Android Developer Requirement:

• Minimum 4 years of experience in Android development.
• Degree in software development, computer science, or similar.
• Proficiency in Android, Java, Kotlin, MVC, MVVM.
• Prior experience as an android developer will be advantageous.
• Excellent coding and proofreading skills.
• Top-notch teamwork and communication skills.
• Ability to manage your workload with minimal supervision.
• Unwavering curiosity.

• Candidate should have relevant telesales experience
• Candidate should be available for immediate joining
• Responsible for planning, implementing and directing the sales activities of the company in a designated area to achieve sales objectives 2. Develop a sales strategy to achieve organizational sales goals and revenues 3. Sales Closure of hair and skin clients 4. Identify new sale leads 5. Responsible for driving consultation to Location allotted 6. Develop and implement new sales initiatives, strategies and programs. 7. Contacting potential client via email or phone to establish rapport and set up meetings 8. Developing sales goals for the team and ensuring they are met 9. Negotiating on phone, email or in-person 10. To provide report and feedback to upper management about what is and is not working 11. To provide detailed report and feedback to upper management 12. Extensive Follow-up for the Clients allotted 13. Giving client good client experience 14. If & when required need to sit in reception area also
•  

We are looking for an exceptional Software Developer for our Data Engineering India team who can-

contribute to building a world-class big data engineering stack that will be used to fuel us

Analytics and Machine Learning products. This person will be contributing to the architecture,

operation, and enhancement of:

Our petabyte-scale data platform with a key focus on finding solutions that can support

Analytics and Machine Learning product roadmap. Everyday terabytes of ingested data

need to be processed and made available for querying and insights extraction for

various use cases.

About the Organisation:

- It provides a dynamic, fun workplace filled with passionate individuals. We are at the cutting edge of advertising technology and there is never a dull moment at work.

- We have a truly global footprint, with our headquarters in Singapore and offices in Australia, United States, Germany, United Kingdom, and India.

- You will gain work experience in a global environment. We speak over 20 different languages, from more than 16 different nationalities and over 42% of our staff are multilingual.

Job Description

Position:
Software Developer, Data Engineering team
Location: Pune(Initially 100% Remote due to Covid 19 for coming 1 year)

• Our bespoke Machine Learning pipelines. This will also provide opportunities to

contribute to the prototyping, building, and deployment of Machine Learning models.

You:

• Have at least 4+ years’ Experience.
• Deep technical understanding of Java or Golang.
• Production experience with Python is a big plus, extremely valuable supporting skill for

us.

• Exposure to modern Big Data tech: Cassandra/Scylla, Kafka, Ceph, the Hadoop Stack,

Spark, Flume, Hive, Druid etc… while at the same time understanding that certain

problems may require completely novel solutions.

• Exposure to one or more modern ML tech stacks: Spark ML-Lib, TensorFlow, Keras,

GCP ML Stack, AWS Sagemaker - is a plus.

• Experience includes working in Agile/Lean model
• Experience with supporting and troubleshooting large systems
• Exposure to configuration management tools such as Ansible or Salt
• Exposure to IAAS platforms such as AWS, GCP, Azure…
• Good addition - Experience working with large-scale data
• Good addition - Good to have experience architecting, developing, and operating data

warehouses, big data analytics platforms, and high velocity data pipelines

**** Not looking for a Big Data Developer / Hadoop Developer

Desired Candidate Profile

Experience: 2-6 Years

Datametica is looking for talented Java engineers who would get training & the opportunity to work on Cloud and Big Data Analytics.

Job Responsibilities:

• 2-6 years, having hands-on experience in coding, usually in a pair programming environment providing solutions to real problems in the Big Data world
• Working in highly collaborative teams and building quality code
• Working in lots of different domains and client environments also understanding the business domain deeply
• Engineers highly scalable, highly available, reliable, secure, and fault-tolerant systems with minimal guidance
• Create platforms, reusable libraries, and utilities wherever applicable
• Continuously refactor applications to ensure high-quality design
• Choose the right technology stack for the product systems/subsystems
• Write high-quality code that are modular, functional, and testable; Establish the best coding practices
• Formally mentor junior engineers on design, coding, and troubleshooting
• Plan projects using agile methodologies and ensure timely delivery
• Communicate, collaborate and work effectively in a global environment

Required Skills:

• Proficient in Core Java technology stack
• Design and implement low latency RESTful services; Define API contracts between services; Expertise in API design and development, experience in dealing with a large dataset
• Should have worked on Spring boot
• Practicing the coding standards (clean code, design patterns, etc)
• Good understanding of branching, build, deployment, continuous integration methodologies
• Ability to make decisions independently
• Strong experience in collections.