11+ LACP Jobs in Chennai | LACP Job openings in Chennai

Mandatory skills:

• Programming skills in Python, Robot framework, Selenium, Shell scripting
• Experience on L2/L3 protocols of VLAN/DHCP/LACP/IGMP/PPPoE.
• Should be familiar with device configuration protocols of CLI/NETCONF/SNMP.
• Experience in telecom technologies like DSLAM/GPON/G.fast/Next gen broadband technologies is highly recommended
• Knowledge on regression/performance/load/scale/stability test areas
• Hands on experience with Common industry equipment like Spirent test center/ixia/Abacus/Shenick(TeraVM)/N2X Traffic generators.
• Exposure to debug tools such as Wireshark/tcpdump.

Job Requirements:

• Knowledge on software Test cycle, test plan and test case creation
• Understanding of End to end test setup topology and debugging.
• Ability to perform System level Functional and Non-functional tests.
• Familiar with Manual test life cycle
• Designing and writing test automation scripts using automation frameworks
• Exposure to CI/CD pipe line implementation and maintenance using Jenkins, Groovy scripting
• Linux skills (system configuration and administration, containers, networking experience and d) such as sockets and database management
• Good debugging skills and knowledge on various debug tools
• Bug reporting/tracking and providing logs.

Key Responsibilities

 Architect and implement enterprise-grade Lakehouse solutions using Databricks

 Design and deliver scalable batch and real-time data pipelines using Apache Spark (PySpark/SQL)

 Build ETL/ELT pipelines, incremental data loads, and metadata-driven ingestion frameworks

 Implement and optimize Databricks components: Delta Lake, Delta Live Tables, Autoloader, Structured Streaming, and Workflows

 Design large-scale data warehousing solutions with 3NF and dimensional modeling

 Establish data governance, security, and data quality frameworks, including Unity Catalog

 Lead ML lifecycle management using MLflow and drive AI use cases (RAG, AI/BI)

 Manage cloud-native deployments on Microsoft Azure and integrate with enterprise systems (e.g., ServiceNow)

 Drive CI/CD, DevOps practices, and performance optimization of Spark workloads

 Provide technical leadership, mentor teams, and ensure successful delivery

 Collaborate with stakeholders to translate business requirements into scalable solutions

Required Skills & Experience

 10+ years in Data Engineering / Analytics / AI with strong delivery ownership

 Deep expertise in Databricks ecosystem (Notebooks, Delta Lake, Workflows, AI/BI, Apps, Genie)

 Strong hands-on experience with: 

a. Apache Spark (performance tuning & scalability)

b. Python and SQL

 Proven experience in: 

a. Solution architecture and large-scale data platforms

b. Data warehousing and advanced data modeling

c. Batch and real-time processing systems

 Experience with: 

a. Azure Databricks and Azure data services

b. MLflow and MLOps practices

c. ServiceNow or enterprise integrations

 Exposure to AI technologies (RAG, LLM-based solutions)

 Strong stakeholder management and leadership skills

Certifications (Preferred)

 Databricks certifications aligned to data engineering and AI tracks, such as: 

a. Databricks Certified Data Engineer Associate (validates foundational ETL, Spark, and Lakehouse capabilities)

b. Databricks Certified Data Engineer Professional (advanced expertise in pipeline design, optimization, and governance)

 Certifications in Databricks Machine Learning or Generative AI tracks (e.g., ML Associate / Professional) for AI-driven use cases

 Relevant cloud certifications in Microsoft Azure or Amazon Web Services for platform deployment and architecture

Job Description:

We are seeking a Senior AI Developer to join our dynamic team and lead AI-driven projects. This role requires a blend of advanced technical expertise in AI and machine learning, exceptional problem-solving abilities, and experience in building and deploying scalable AI solutions.

Key Responsibilities:

• Machine Learning & AI: Expertise in ML algorithms, especially for classification, anomaly detection, and predictive analytics.
• Cloud Platforms: Proficiency in Google Cloud Platform (GCP) services, including Cloud Run, BigQuery, and Vertex AI.
• Programming Languages: Advanced knowledge of Python; experience with libraries like TensorFlow, PyTorch, Scikit-learn, and Pandas.
• Data Processing: Skilled in SQL, data transformations, and ETL processes, especially with BigQuery.
• Anomaly Detection: Proven experience in building and deploying anomaly detection models, particularly for network data.
• Network Data Analysis: Familiarity with analyzing network logs, IP traffic, and related data structures.
• DevOps & CI/CD: Experience with CI/CD pipelines for ML model deployment, particularly with tools like Cloud Build.

Job Overview:

We are seeking an experienced AWS Data Engineer to join our growing data team. The ideal candidate will have hands-on experience with AWS Glue, Redshift, PySpark, and other AWS services to build robust, scalable data pipelines. This role is perfect for someone passionate about data engineering, automation, and cloud-native development.

Key Responsibilities:

• Design, build, and maintain scalable and efficient ETL pipelines using AWS Glue, PySpark, and related tools.
• Integrate data from diverse sources and ensure its quality, consistency, and reliability.
• Work with large datasets in structured and semi-structured formats across cloud-based data lakes and warehouses.
• Optimize and maintain data infrastructure, including Amazon Redshift, for high performance.
• Collaborate with data analysts, data scientists, and product teams to understand data requirements and deliver solutions.
• Automate data validation, transformation, and loading processes to support real-time and batch data processing.
• Monitor and troubleshoot data pipeline issues and ensure smooth operations in production environments.

Required Skills:

• 5 to 7 years of hands-on experience in data engineering roles.
• Strong proficiency in Python and PySpark for data transformation and scripting.
• Deep understanding and practical experience with AWS Glue, AWS Redshift, S3, and other AWS data services.
• Solid understanding of SQL and database optimization techniques.
• Experience working with large-scale data pipelines and high-volume data environments.
• Good knowledge of data modeling, warehousing, and performance tuning.

Preferred/Good to Have:

• Experience with workflow orchestration tools like Airflow or Step Functions.
• Familiarity with CI/CD for data pipelines.
• Knowledge of data governance and security best practices on AWS.

Roles and Responsibilities

1.    Manage client relationships, and facilitators relationship at MHFAI for training and post-training support.

2.    Ideate, design, and implement program that focused on post-training support for mental health first-aiders.

3.    Leverage the new products of MHFAI to the clients that ensures implementation of mental health by building tools and guidelines (for organized groups).

4.    Oversee and facilitate MHFAI instructors for training and upskilling.

5.    Monitor and coordinate the MHFAI Awards program with all the stakeholders involved.

6.    Draft and initiate scientific research, and create tools required at workplace to measure mental health.

7.    Plan and manage webinars, events and activities to promote the idea of mental health at workplaces and educational institutions.

8.    Draft, design, manage and implement guidelines / resources with focus on mental health for the benefit of organized groups.

9.    Keep up-to-date with the latest trends and best practices in Learning and Development and / or mental health, and incorporate them into our training programs.

10. Manage the Learning and Development budget, ensuring that resources are allocated effectively and efficiently.

11. Provide support in other operational functions of MHFA as needed.

Requirements:

·      4-10 years in Counselling psychology and / or mental health training

·      Qualification: Education in Counselling / Medical Psychology

·      Experience in clinical work

·      Exposure to mental health training

·      Experience of having previously worked in organized group is desirable

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SSE/TL/ STL – Java Full Stack Dev

Overview of the Role –SSE/TL/ STL– Java Full Stack Dev (Java + React js)

Location: Chennai / Hyderabad

Reporting To: Project Manager

Role Description

We are looking for a candidate with Java backend experience combined with UI exposure preferably with React JS. The candidate shall be required to member of a SW Development team, demonstrating technical person. The candidate would be required to demonstrate high degree of ownership; velocity and mentor the team members.

Responsibilities

• · In this role, you should be able to work independently with little supervision.
• · You should have excellent organization and problem-solving skills.
• · If you also have hands-on experience in software development and agile methodologies, we’d like to meet you.
• · You will be responsible to develop high-quality software that is aligned with user needs and business goals.

Qualification

• · 4 to 10 years of end-to-end development using Java & UI technology (ReactJS)
• · Good knowledge of any relational database
• · Experience in JavaScript along with an OOP language
• · Well versed with testing concepts and methodologies
• · Agile/Scrum development and full SDLC from development to production deployment.
• · Analytical mind with problem-solving aptitude.
• · Ability to work independently.
• · Excellent written and oral communication skills.

The Sales Associate is responsible for reaching out to potential leads through LinkedIn Sales Navigator and email to generate sales opportunities. This role requires a proactive and organized individual with strong communication skills and a goal-oriented approach.

Key Responsibilities:

1. Lead Generation: - Utilize LinkedIn Sales Navigator to identify potential leads within the target market. - Create and maintain a list of leads with detailed information for further engagement.

2. Messaging on LinkedIn Sales Navigator: - Craft personalized and compelling messages to initiate conversations with leads. - Engage with leads by showcasing the value of the company's products or services. - Establish and maintain professional and meaningful connections on LinkedIn.

3. Email Outreach: - Develop effective email templates and messaging strategies to contact leads. - Send personalized emails to leads, introducing the company's offerings and benefits. - Follow up with email communications to nurture leads and move them through the sales funnel.

4. Lead Qualification: - Gather essential information from leads to determine their level of interest and potential as sales prospects. - Assess and categorize leads based on predefined criteria.

5. Data Management: - Maintain accurate and up-to-date records of all interactions with leads. - Keep track of response rates and lead progress, providing regular reports to the sales team.

Qualifications:

- Strong written and verbal communication skills.

- Proficiency in LinkedIn Sales Navigator and email outreach tools.

- Adept at data entry and record-keeping.

- Adaptable, with a willingness to learn and adapt to changing market conditions.

- Strong communication skills and the ability to build professional relationships.