11+ Data masking Jobs in Kochi (Cochin) | Data masking Job openings in Kochi (Cochin)

JOB DETAILS:

* Job Title: Associate III - Data Engineering

* Industry: Global digital transformation solutions provide

* Salary: Best in Industry

* Experience: 4-6 years

* Location: Trivandrum, Kochi

Job Description

Job Title:

Data Services Engineer – AWS & Snowflake

Job Summary:

As a Data Services Engineer, you will be responsible for designing, developing, and maintaining robust data solutions using AWS cloud services and Snowflake.

You will work closely with cross-functional teams to ensure data is accessible, secure, and optimized for performance.

Your role will involve implementing scalable data pipelines, managing data integration, and supporting analytics initiatives.

Responsibilities:

• Design and implement scalable and secure data pipelines on AWS and Snowflake (Star/Snowflake schema)

• Optimize query performance using clustering keys, materialized views, and caching

• Develop and maintain Snowflake data warehouses and data marts.

• Build and maintain ETL/ELT workflows using Snowflake-native features (Snowpipe, Streams, Tasks).

• Integrate Snowflake with cloud platforms (AWS, Azure, GCP) and third-party tools (Airflow, dbt, Informatica)

• Utilize Snowpark and Python/Java for complex transformations

• Implement RBAC, data masking, and row-level security.

• Optimize data storage and retrieval for performance and cost-efficiency.

• Collaborate with stakeholders to gather data requirements and deliver solutions.

• Ensure data quality, governance, and compliance with industry standards.

• Monitor, troubleshoot, and resolve data pipeline and performance issues.

• Document data architecture, processes, and best practices.

• Support data migration and integration from various sources.

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.

• 3 to 4 years of hands-on experience in data engineering or data services.

• Proven experience with AWS data services (e.g., S3, Glue, Redshift, Lambda).

• Strong expertise in Snowflake architecture, development, and optimization.

• Proficiency in SQL and Python for data manipulation and scripting.

• Solid understanding of ETL/ELT processes and data modeling.

• Experience with data integration tools and orchestration frameworks.

• Excellent analytical, problem-solving, and communication skills.

Preferred Skills:

• AWS Glue, AWS Lambda, Amazon Redshift

• Snowflake Data Warehouse

• SQL & Python

Skills: Aws Lambda, AWS Glue, Amazon Redshift, Snowflake Data Warehouse

Must-Haves

AWS data services (4-6 years), Snowflake architecture (4-6 years), SQL (proficient), Python (proficient), ETL/ELT processes (solid understanding)

Skills: AWS, AWS lambda, Snowflake, Data engineering, Snowpipe, Data integration tools, orchestration framework

Relevant 4 - 6 Years

python is mandatory

******

Notice period - 0 to 15 days only (Feb joiners’ profiles only)

Location: Kochi

F2F Interview 7th Feb

Key Responsibilities:

● Client Engagement: Serve as the primary point of contact for assigned clients, understanding their unique operation processes and requirements. Build and maintain strong relationships to facilitate successful implementations.

● Project Management: Lead the end-to-end implementatio, ensuring projects are delivered on time, within scope, and within budget. Coordinate with cross-functional teams to align resources and objectives.

● Process Analysis and Improvement: Evaluate clients' existing operation workflows, identify inefficiencies, and recommend optimized processes leveraging platform. Utilize process mapping and data analysis to drive continuous improvement.

● Data Analysis: Analyze substantial datasets to ensure accurate configuration and integration . Employ statistical tools and SQL-based queries to interpret data and provide actionable insights.

● Problem Solving: Break down complex problems into manageable components, developing effective solutions in collaboration with clients and internal teams.

● Process Excellence: Advocate for and implement best practices in process management, utilizing methodologies such as Lean Six Sigma to enhance operational efficiency.

● Customer Excellence: Ensure a superior customer experience by proactively addressing client needs, providing training and support, and promptly resolving any issues that arise.

Qualifications:

● 1 to 3 years of experience in project management, preferably in financial services, software implementation, consulting or analytics.

● Strong analytical skills with experience in data analysis, SQL querying, and handling large datasets.

● Excellent communication and interpersonal skills, with the ability to manage client relationships effectively.

● Demonstrated ability to lead cross-functional teams and manage multiple projects concurrently.

● Proven expertise in financial operation processes and related software solutions is a plus

● Proficiency in developing business intelligence solutions or with low-code tools is a plus

Why Join ?

● Opportunity to work with a cutting-edge financial technology company.

● Collaborative and innovative work environment.

● Competitive compensation and benefits package.

● Professional development and growth opportunities.

We are seeking a passionate and knowledgeable Data Science and Data Analyst Trainer to deliver engaging and industry-relevant training programs. The trainer will be responsible for teaching core concepts in data analytics, machine learning, data visualization, and related tools and technologies. The ideal candidate will have hands-on experience in the data domain with 2-5 years and a flair for teaching and mentoring students or working professionals.

DA DS Trainer JD:

Key Responsibilities:

Develop and deliver comprehensive training programs on data science topics, including machine learning, artificial intelligence, big data, data mining, and predictive analytics.

Create engaging and interactive training materials, including presentations, hands-on exercises, case studies, and assessments.

Conduct classroom, online, and one-on-one training sessions for students at different skill levels.

Evaluate students' performance and progress, providing feedback and support to help them improve.

Stay up-to-date with the latest trends and best practices in data science and incorporate them into training programs.

Collaborate with other trainers and industry experts to continuously improve training content and methodologies.

Assist in the development of training schedules and manage training logistics.

Provide mentorship and career guidance to students aspiring to build a career in data science.

Qualifications:

Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field; a Master’s degree is a plus.

Proven experience as a Data Science Trainer or a similar role.

In-depth knowledge of data science concepts and hands-on experience with tools like Python, R, TensorFlow, and Hadoop.

Excellent presentation and communication skills.

Strong organizational and time-management abilities.

Ability to simplify complex concepts and deliver them in an understandable manner.

Certification in Data Science (e.g., Microsoft Certified: Azure Data Scientist Associate) is preferred.

Preferred Skills:

Experience with LMS (Learning Management Systems) and e-learning platforms.

Strong analytical and problem-solving skills.

Ability to adapt training methods to different learning styles.

Passion for continuous learning and professional development.

Benefits:

Competitive salary and performance-based incentives.

Professional development opportunities.

Flexible working hours.

Collaborative and innovative work environment.

Primary Skills – SDA, DNAC, Cisco ISE, Routing and switching and Troubleshooting NAC, 802.1x, Supplicant configuration, 

Switching Skills- IOS upgrade, SNMP, VLAN, STP, VSL

Routing Skills-OSPF, BGP, ISIS

Network Monitoring Tools- Cisco Prime (Integration, monitoring, and troubleshooting)

1. Must have hands on experience in Implementing NAC,802.1x (Wired & Wireless)
2. Strong knowledge on CAMPUS LAN Architecture and implementation
3. Hands on experience in Routing, Switching, Cisco SDA, DNAC, Cisco ISE, Assurance
4. Working experience in Cisco prime infra, Monitoring, Integration and Heat map generation
5. Should have detailed technical understanding, troubleshooting of STP protocols (STP, PVST, RSTP, MSTP)
6. Perform IOS upgrades on Switches and WLCs
7. Troubleshoot skills on Quality of Service, Multicast and HSRP, Dot1x protocols, IPSLA
8. Troubleshooting skills on Cisco VSS, VSL and stacking technologies 
9. Should have detailed technical understanding, troubleshooting and support of, Routing protocols (OSPF, BGP), MPLS in an enterprise environment.
10. Perform root cause and troubleshoot network outages
11. Should be proficient in Wireless technology, implementation, and troubleshooting
12. Deliver reports on the actions performed.
13. Hands-on experience with the networking products Like Cisco 6800, 9500,9400,9300, 3800, 2960x and 3650 switches. Juniper EX8200,EX4200,EX3300 and EX2200 switches
14. Strong ability to troubleshoot complex network issues and Identify, diagnose, and resolve different types of network problems.

Secondary Skills –

1. CCNP Certification
2. Project Management: Managing individual network projects within the scope of the Network Team
3. Excellent technical and business communication skills, both oral and written

• Calling potential customers to explain company products and encourage purchases.
• Answering customers' questions and escalating complex issues to the relevant departments as needed.
• Developing in-depth knowledge of company products.
• Maintaining an accurate record of all sales, scheduled customer appointments, and customer complaints.
• Collaborating with the marketing department to ensure that the company is reaching its target audience.
• Informing product developers of possible product improvements and changes to ensure that company products meet current market needs.
• Preparing cost-benefit analyses for prospective and existing customers to determine the most suitable purchase options.
• Analyzing competitors' products to determine product features, benefits, shortfalls, and market success.

Primary Skill: System Software Development

Skill sets req:

• Linux porting/development; Linux kernel concepts
• Expertise in Linux BSP device driver development
• Customizing kernel + Porting + Developing Applications Linux Device Driver Development (Character devices) Good Concepts of Network Drivers File Systems Concepts
• Expertise in porting, network stack; optimization, network programming
• Bootloader/Uboot porting
• Camera driver development (Good to have)