11+ Remote support Jobs in Chennai | Remote support Job openings in Chennai

• 4-15 year experience in Application Support
• Must have good knowledge in Java/J2EE, Microservices, PL/SQL, Unix
• Good to have knowledge in Agile, JIRA, Splunk, Service Now
• Good understanding and hands-on experience in Incident, Problem and Change Management
• Provide technical leadership to the team & contribute in the skill development within team
  Interact with internal teams and client stakeholders to trouble shoot the tickets/incident and manage other support activities
• Good communications skills are necessary, must be team player and inquisitive.
• Strong customer service and support focus with a desire to deliver a high-quality service
• Ability to multi-task, work under pressure and to tight deadlines
• Flexible in working outside of office business hours at short notice (as required)
• Should be able to examine the system and identify the areas for Service Improvements & Value adds.

SENIOR DATA ENGINEER:

ROLE SUMMARY:

Own the design and delivery of petabyte-scale data platforms and pipelines across AWS and modern Lakehouse stacks. You’ll architect, code, test, optimize, and operate ingestion, transformation, storage, and serving layers. This role requires autonomy, strong engineering judgment, and partnership with project managers, infrastructure teams, testers, and customer architects to land secure, cost-efficient, and high-performing solutions.

RESPONSIBILITIES:

• Architecture and design: Create HLD/LLD/SAD, source–target mappings, data contracts, and optimal designs aligned to requirements.
• Pipeline development: Build and test robust ETL/ELT for batch, micro-batch, and streaming across RDBMS, flat files, APIs, and event sources.
• Performance and cost tuning: Profile and optimize jobs, right-size infrastructure, and model license/compute/storage costs.
• Data modeling and storage: Design schemas and SCD strategies; manage relational, NoSQL, data lakes, Delta Lakes, and Lakehouse tables.
• DevOps and release: Establish coding standards, templates, CI/CD, configuration management, and monitored release processes.
• Quality and reliability: Define DQ rules and lineage; implement SLA tracking, failure detection, RCA, and proactive defect mitigation.
• Security and governance: Enforce IAM best practices, retention, audit/compliance; implement PII detection and masking.
• Orchestration: Schedule and govern pipelines with Airflow and serverless event-driven patterns.
• Stakeholder collaboration: Clarify requirements, present design options, conduct demos, and finalize architectures with customer teams.
• Leadership: Mentor engineers, set FAST goals, drive upskilling and certifications, and support module delivery and sprint planning.

REQUIRED QUALIFICATIONS:

• Experience: 15+ years designing distributed systems at petabyte scale; 10+ years building data lakes and multi-source ingestion.
•  Cloud (AWS): IAM, VPC, EC2, EKS/ECS, S3, RDS, DMS, Lambda, CloudWatch, CloudFormation, CloudTrail.
• Programming: Python (preferred), PySpark, SQL for analytics, window functions, and performance tuning.
• ETL tools: AWS Glue, Informatica, Databricks, GCP DataProc; orchestration with Airflow.
• Lakehouse/warehousing: Snowflake, BigQuery, Delta Lake/Lakehouse; schema design, partitioning, clustering, performance optimization.
• DevOps/IaC: Terraform with 15+ years of practice; CI/CD (GitHub Actions, Jenkins) with 10+ years; config governance and release management.
• Serverless and events: Design event-driven distributed systems on AWS.
• NoSQL: 2–3 years with DocumentDB including data modeling and performance considerations.
• AI services: AWS Entity Resolution, AWS Comprehend; run custom LLMs on Amazon SageMaker; use LLMs for PII classification.

NICE-TO-HAVE QUALIFICATIONS:

• Data governance automation: 10+ years defining audit, compliance, retention standards and automating governance workflows.
• Table and file formats: Apache Parquet; Apache Iceberg as analytical table format.
• Advanced LLM workflows: RAG and agentic patterns over proprietary data; re-ranking with index/vector store results.
• Multi-cloud exposure: Azure ADF/ADLS, GCP Dataflow/DataProc; FinOps practices for cross-cloud cost control.

OUTCOMES AND MEASURES:

• Engineering excellence: Adherence to processes, standards, and SLAs; reduced defects and non-compliance; fewer recurring issues.
• Efficiency: Faster run times and lower resource consumption with documented cost models and performance baselines.
• Operational reliability: Faster detection, response, and resolution of failures; quick turnaround on production bugs; strong release success.
• Data quality and security: High DQ pass rates, robust lineage, minimal security incidents, and audit readiness.
• Team and customer impact: On-time milestones, clear communication, effective demos, improved satisfaction, and completed certifications/training.

LOCATION AND SCHEDULE:

●      Location: Outside US (OUS).

●      Schedule: Minimum 6 hours of overlap with US time zones.

• Strong wordpress fullstack developer profile:
• Mandatory (Experience 1) - 9+ years of experience as wordpress developer (full stack)
• Mandatory (Experience 2) - Must have 5+ years of experience in Front-end Development using HTML, CSS, Javascript, React JS
• Mandatory (Skills 1) - Must have experience working with Creative/Design team for website development
• Mandatory (Skills 2) - Basic Knowledge of Adobe photoshop/Illustrator

Preferred

• Preferred (Experience 1) - Familiarity with APIs, AI tool integrations
• Preferred (Experience 2) - Experience with Webflow, Framer, or low-code/no-code tools

We are seeking a highly motivated and technically proficient Sales & Application Engineer to drive sales and provide technical support for both high-precision CNC metrology systems and advanced machining tooling. This role requires extensive travel to customer sites and strong collaboration with internal teams.

• Visit machining industries to promote and demonstrate a comprehensive range of products, including carbide inserts, holders, drills, taps, endmills, and high-precision machine probes, tool setters, and calibration systems.
• Understand customer machining operations and suggest suitable tooling and metrology solutions to improve efficiency and quality.
• Conduct product demonstrations and cutting trials, validating performance for customers.
• Engage new customers, prepare and submit detailed quotations, negotiate terms, and close sales deals.
• Follow up on quotations, orders, and payments to ensure a smooth sales cycle.
• Collaborate with the Application and Service teams for trials and ongoing technical support.

Key Requirements:

• Diploma/Degree in Mechanical or Production Engineering.
• In-depth knowledge of CNC machining, tooling, and process parameters.
• Familiarity with metrology brands like Renishaw, Blum, and Marposs is highly desirable.
• Must be willing to travel extensively across the assigned territory.

Data Engineer- Senior

Cubera is a data company revolutionizing big data analytics and Adtech through data share value principles wherein the users entrust their data to us. We refine the art of understanding, processing, extracting, and evaluating the data that is entrusted to us. We are a gateway for brands to increase their lead efficiency as the world moves towards web3.

What are you going to do?

Design & Develop high performance and scalable solutions that meet the needs of our customers.

Closely work with the Product Management, Architects and cross functional teams.

Build and deploy large-scale systems in Java/Python.

Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

Create data tools for analytics and data scientist team members that assist them in building and optimizing their algorithms.

Follow best practices that can be adopted in Bigdata stack.

Use your engineering experience and technical skills to drive the features and mentor the engineers.

What are we looking for ( Competencies) :

Bachelor’s degree in computer science, computer engineering, or related technical discipline.

Overall 5 to 8 years of programming experience in Java, Python including object-oriented design.

Data handling frameworks: Should have a working knowledge of one or more data handling frameworks like- Hive, Spark, Storm, Flink, Beam, Airflow, Nifi etc.

Data Infrastructure: Should have experience in building, deploying and maintaining applications on popular cloud infrastructure like AWS, GCP etc.

Data Store: Must have expertise in one of general-purpose No-SQL data stores like Elasticsearch, MongoDB, Redis, RedShift, etc.

Strong sense of ownership, focus on quality, responsiveness, efficiency, and innovation.

Ability to work with distributed teams in a collaborative and productive manner.

Benefits:

Competitive Salary Packages and benefits.

Collaborative, lively and an upbeat work environment with young professionals.

Job Category: Development

Job Type: Full Time

Job Location: Bangalore

Job Description:

MySQL - DBA L3 Support

# 7 -10  years of experience in MySQL, handled multiple versions & flavors of MySQL servers both for standalone & enterprise version, Data center and VM/Cloud setup.

# Strong database Configuration and troubleshooting / problem solving skills.

# Strong knowledge of database backup and recovery concepts and practices.

# Enabling disabling scheduled Jobs on MySQL Server

# Work with Dev and DevOps engineers to ensure that all needed data is gathered and provided to them for any performance issues

# Experience in managing both on-prem DB as well as VM / cloud based DBs

# Maintenance of backups (perform backups, monitor backup, report obsolete backups)

# Maintenance of user access (creating user accounts, dropping user accounts, granting privileges)

# Maintenance of log and trace files (remove, initialize, archive them)

# Knowledge on SQL scripts

# Managing Database administration includes Daily health checks, Database tuning, Query optimization & Backup & Replication

# Experience in alert configurations using existing alerting tools or scripts