software engineer

data engineer

data scientist

ai engineer

cloud engineer

big data engineer

Capco

<div>
 
 Job Title: Sr. Data Engineer
 
 
 
 
 About Us
 
 
 
 &ldquo;Capco, a Wipro company, is a global technology and management consulting firm. Awarded with
 
 Consultancy of the year in the British Bank Award
 
 and has been ranked
 
 Top 100 Best Companies for Women in India 2022 by
 
 
 Avtar &amp; Seramount
 
 . With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery.
 
 
 
 WHY JOIN CAPCO?
 
 
 
 You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.
 
 
 
 MAKE AN IMPACT
 
 
 
 Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.
 
 
 
 #BEYOURSELFATWORK
 
 
 
 Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.
 
 
 
 CAREER ADVANCEMENT
 
 
 
 With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.
 
 
 
 DIVERSITY &amp; INCLUSION
 
 
 
 We believe that diversity of people and perspective gives us a competitive advantage.
 
 
 
 MAKE AN IMPACT
 
 
 
 
 Job Summary
 
 
 
 <ul>
 <li>
 Position: Sr Consultant
 </li>
 <li>
 Location: Capco Locations (Bengaluru/ Chennai/ Hyderabad/ Pune/ Mumbai/ Gurugram)
 </li>
 <li>
 Band: M3/M4 (8 to 14 years)
 
 
 </li>
 </ul>
 
 Role Description
 
 
 
 
 Job Title: Senior Consultant - Data Engineer
 
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, build and optimise data pipelines and ETL processes in Azure Databricks ensuring high performance, reliability, and scalability.
 </li>
 <li>
 Implement best practices for data ingestion, transformation, and cleansing to ensure data quality and integrity.
 </li>
 <li>
 Work within clients best practice guidelines as set out by the Data Engineering Lead
 </li>
 <li>
 Work with data modellers and testers to ensure pipelines are implemented correctly.
 </li>
 <li>
 Collaborate as part of a cross-functional team to understand business requirements and translate them into technical solutions.
 
 
 </li>
 </ul>
 Role Requirements
 
 
 <ul>
 <li>
 Strong Data Engineer with experience in Financial Services
 </li>
 <li>
 Knowledge of and experience building data pipelines in Azure Databricks
 </li>
 <li>
 Demonstrate a continual desire to implement &ldquo;strategic&rdquo; or &ldquo;optimal&rdquo; solutions and where possible, avoid workarounds or short term tactical solutions
 </li>
 <li>
 Work within an Agile team
 
 
 </li>
 </ul>
 
 Experience/Skillset
 
 
 
 <ul>
 <li>
 8+ years experience in data engineering
 </li>
 <li>
 Good skills in SQL, Python and PySpark
 </li>
 <li>
 Good knowledge of Azure Databricks (understanding of delta tables, Apache Spark, Unity Catalog)
 </li>
 <li>
 Experience writing, optimizing, and analyzing SQL and PySpark code, with a robust capability to interpret complex data requirements and architect solutions
 </li>
 <li>
 Good knowledge of SDLC
 </li>
 <li>
 Familiar with Agile/Scrum ways of working
 </li>
 <li>
 Strong verbal and written communication skills
 </li>
 <li>
 Ability to manage multiple priorities and deliver to tight deadlines
 
 
 </li>
 </ul>
 
 WHY JOIN CAPCO?
 
 
 
 You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry. We offer:
 
 
 <ul>
 <li>
 A work culture focused on innovation and creating lasting value for our clients and employees
 </li>
 <li>
 Ongoing learning opportunities to help you acquire new skills or deepen existing expertise
 </li>
 <li>
 A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients
 </li>
 <li>
 A diverse, inclusive, meritocratic culture
 
 
 </li>
 </ul>
 
 We Offer
 
 
 
 <ul>
 <li>
 A work culture focused on innovation and creating lasting value for our clients and employees
 </li>
 <li>
 Ongoing learning opportunities to help you acquire new skills or deepen existing expertise
 </li>
 <li>
 A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients
 
 
 </li>
 </ul>
</div>

Data Engineer

Persistent Systems

<div>
 
 
 About Position:
 
 
 
 
 
 
 We are seeking a
 
 Data Clean Room Engineer (Snowflake)
 
 to design, implement, and scale secure data clean rooms, enabling privacy-preserving collaboration and analytics. You will work across Snowflake, AWS, and Azure ecosystems to build compliant, high-performance solutions, partnering closely with data science, product, and security teams.
 
 
 
 
 <ul>
 <li>
 
 Role: Data Engineer
 
 </li>
 <li>
 
 Location: All Persistent systems locations
 
 </li>
 <li>
 
 Experience 4 to 7 years
 
 </li>
 <li>
 
 Job Type: Full Time Employment
 
 </li>
 </ul>
 
 
 
 
 
 What You'll Do:
 
 
 
 
 
 <ul>
 <li>
 Design and deliver secure, compliant Snowflake Data Clean Rooms with robust integrations, governance, and automation.
 </li>
 <li>
 Configure and implement Snowflake Clean Rooms (provider/consumer roles, clean room UI), access controls, and data collaboration policies.
 </li>
 <li>
 Build and maintain ETL/ELT data pipelines to ingest data from diverse sources (e.g., AWS S3) into Clean Rooms.
 </li>
 <li>
 Write advanced SQL and develop performant data models (star/snowflake, semantic layers) tailored for clean room analytics and privacy constraints.
 </li>
 <li>
 Define and enforce privacy, security, and governance controls&mdash;row/column-level security, masking, encryption, anonymization/pseudonymization.
 </li>
 <li>
 Integrate AWS services (e.g., S3, IAM; optionally CloudFormation/Terraform) and Azure services as needed for deployment and access management.
 </li>
 <li>
 Partner with data scientists, product managers, security, and legal/compliance to translate requirements into scalable clean room designs.
 </li>
 <li>
 Implement monitoring, auditing, lineage, and cost optimization for clean room workloads.
 </li>
 <li>
 Drive automation, CI/CD, and documentation for repeatable, compliant environments.
 </li>
 </ul>
 
 
 
 
 
 Expertise You'll Bring:
 
 
 
 
 
 <ul>
 <li>
 You combine deep Snowflake and cloud expertise with strong data engineering, security, and stakeholder collaboration skills.
 </li>
 <li>
 
 Snowflake Clean Rooms:
 
 Hands-on experience with clean room provisioning, provider/consumer roles, policies, tokenization/masking, governance features, and the clean room UI.
 </li>
 <li>
 
 SQL &amp; Data Modeling:
 
 Strong SQL (optimization, window functions, CTEs) and modeling skills for analytics within privacy-preserving environments.
 </li>
 <li>
 
 Data Integration &amp; ETL/ELT:
 
 Building pipelines to ingest/transform data into clean rooms; familiarity with batch/streaming and orchestration (e.g., Airflow/Databricks workflows).
 </li>
 <li>
 
 Cloud Infrastructure:
 
 </li>
 <li>
 
 AWS:
 
 S3, IAM (roles/policies), networking basics; bonus&mdash;CloudFormation/Terraform for automation.
 </li>
 <li>
 
 Azure:
 
 Experience deploying and managing Snowflake and integrations within Azure.
 </li>
 <li>
 
 Databricks Ecosystem:
 
 Experience integrating Databricks with Snowflake, using notebooks/workflows for transformations, and optimizing jobs.
 </li>
 <li>
 
 Security &amp; Privacy:
 
 Implementing encryption, access controls (RBAC/ABAC), data masking, anonymization/pseudonymization, and auditing; awareness of compliance standards (e.g., GDPR/CCPA) as relevant.
 </li>
 <li>
 
 Collaboration &amp; Communication:
 
 Ability to partner with cross-functional stakeholders (data science, product, security, compliance) and translate business needs into technical designs.
 </li>
 <li>
 
 Problem-Solving:
 
 Strong analytical mindset with a track record of diagnosing performance, data quality, and security issues in complex data environments.
 </li>
 </ul>
 
 
 
 
 
 Benefits:
 
 
 
 
 
 <ul>
 <li>
 Competitive salary and benefits package
 </li>
 <li>
 Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
 </li>
 <li>
 Opportunity to work with cutting-edge technologies
 </li>
 <li>
 Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
 </li>
 <li>
 Annual health check-ups
 </li>
 <li>
 Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents
 </li>
 </ul>
 
 
 
 
 
 Values-Driven, People-Centric &amp; Inclusive Work Environment:
 
 
 
 
 
 
 Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.
 
 
 
 
 <ul>
 <li>
 We support hybrid work and flexible hours to fit diverse lifestyles.
 </li>
 <li>
 Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
 </li>
 <li>
 If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment
 </li>
 </ul>
 
 
 
 
 
 Let's unleash your full potential at Persistent - persistent.com/careers
 
 
 
 
 
 
 
 
 &ldquo;Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.&rdquo;
 
 
 
</div>

Onix

<div>
 
 Job Title
 
 
 
 
 Overview
 
 
 
 We are looking for an experienced
 
 Data Engineer
 
 with strong expertise in
 
 Databricks
 
 and
 
 Apache Spark
 
 to build and optimize scalable data pipelines on cloud platforms. The ideal candidate will have hands-on experience delivering ETL/ELT workflows, transforming large datasets, and supporting analytics and data platform initiatives. Experience across
 
 Azure
 
 is required, while exposure to
 
 GCP
 
 and modern orchestration tools is a plus.
 
 
 
 Mandatory Skills
 
 
 
 <ul>
 <li>
 Strong hands-on experience with Azure Databricks
 </li>
 <li>
 Expert-level proficiency in Apache Spark (PySpark/Scala)
 </li>
 <li>
 Solid understanding of ETL/ELT pipelines, batch &amp; streaming data processing
 </li>
 <li>
 Proficient in Python and SQL
 
 
 </li>
 </ul>
 
 Good-to-Have Skills
 
 
 
 <ul>
 <li>
 Experience with GCP data services: BigQuery, Dataflow, DataProc
 </li>
 <li>
 Knowledge of Airflow / Cloud Composer, DAG creation and orchestration
 </li>
 <li>
 Familiarity with GCP IAM, storage, and networking concepts
 </li>
 <li>
 Exposure to data pipelines across multi-cloud environments
 </li>
 <li>
 Experience with orchestration, workflow automation, and CI/CD for data pipelines
 </li>
 </ul>
</div>

Senior Engineer

<div>
 
 
 About Position:
 
 
 
 
 
 
 As a Senior Scala Engineer, you&rsquo;ll be part of a team of smart, highly skilled technologists,who are passionate about learning and supporting cutting-edge technologies such as Spark, Scala, Pyspark, Databricks, Airflow, SQL, Docker, Kubernetes, and other Data engineering tools. These technologies are deployed using DevOps pipelines leveraging Azure, Kubernetes, Jenkins and Bitbucket/GIT Hub.
 
 
 
 
 <ul>
 <li>
 
 Role: Sr. Data Engineer
 
 </li>
 <li>
 
 Location: All persistent location
 
 </li>
 <li>
 
 Experience: 8 to 12 years
 
 </li>
 <li>
 
 Job Type: Full Time Employment
 
 </li>
 </ul>
 
 
 
 
 
 What You'll Do:
 
 
 
 
 
 <ul>
 <li>
 Develop, test, troubleshoot, debug, and make application enhancements leveraging, Spark , Pyspark, Scala, Pandas, Databricks, Airflow, SQL as the core development technologies.
 </li>
 <li>
 Deploy application components using CI/CD pipelines.
 </li>
 <li>
 Build utilities for monitoring and automating repetitive functions.
 </li>
 <li>
 Collaborate with Agile cross-functional teams - internal and external clients including Operations, Infrastructure, Tech Ops
 </li>
 <li>
 Collaborate with Data Science team and productionize the ML Models.
 </li>
 <li>
 Participate in a rotational support schedule to provide responses to customer queries and deploy bug fixes in a timely and accurate manner
 </li>
 </ul>
 
 
 
 
 
 Expertise You'll Bring:
 
 
 
 
 
 <ul>
 <li>
 8-12 Years of applicable software engineering experience
 </li>
 <li>
 Strong fundamentals with experience in Bigdata technologies, Spark, Pyspark, Scala, Pandas, Databricks, Airflow, SQL,
 </li>
 <li>
 Must have experience in cloud technologies, preferably Microsoft Azure.
 </li>
 <li>
 Must have experience in performance optimization of Spark workloads.
 </li>
 <li>
 Good to have experience with DevOps Technologies such as GIT Hub, Kubernetes, Jenkins, Docker.
 </li>
 <li>
 Good knowledge of relational databases, preferably PostgreSQL.
 </li>
 <li>
 Excellent English communication skills, with the ability to effectively interface across cross-functional technology teams and the business
 </li>
 <li>
 Minimum B.S. degree in Computer Science, Computer Engineering or related
 </li>
 <li>
 field
 </li>
 </ul>
 
 
 
 
 
 Benefits:
 
 
 
 
 
 <ul>
 <li>
 Competitive salary and benefits package
 </li>
 <li>
 Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
 </li>
 <li>
 Opportunity to work with cutting-edge technologies
 </li>
 <li>
 Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
 </li>
 <li>
 Annual health check-ups
 </li>
 <li>
 Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents
 </li>
 </ul>
 
 
 
 
 
 Values-Driven, People-Centric &amp; Inclusive Work Environment:
 
 
 
 
 
 
 Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.
 
 
 
 
 <ul>
 <li>
 We support hybrid work and flexible hours to fit diverse lifestyles.
 </li>
 <li>
 Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
 </li>
 <li>
 If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment
 </li>
 </ul>
 
 
 
 
 
 Let&rsquo;s unleash your full potential at Persistent - persistent.com/careers
 
 
 
 
 
 
 
 
 &ldquo;Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.&rdquo;
 
 
 
</div>

Sr. Data Engineer

DoorDash

<div>
 
 About the Team
 
 
 
 Come help us build the world's most reliable on-demand, logistics engine for delivery! We're bringing on experienced engineers to help us further our 24x7, global infrastructure system that powers DoorDash's three-sided marketplace of consumers, merchants, and dashers.
 
 
 
 About the Role
 
 
 
 The Data Tools mission is to build robust data platforms and establish policies that guarantee the analytics data is of high quality, easily accessible/cataloged, and compliant with financial and privacy regulations, fostering trust and confidence in our data-driven decision-making process.
 
 
 We are building the Data Tools team in India and you will have an opportunity to be part of a founding team with a greater opportunity for impact where you can help grow the team and shape the roadmap for the data platform at DoorDash. You will report directly to the Data Tools Engineering Manager.
 
 
 
 
 
 You're excited about this opportunity because you will&hellip;
 
 
 
 <ul>
 <li>
 Work on building a data discovery platform, privacy frameworks, unified access control frameworks, and data quality platform to enable data builders at DoorDash to deliver high-quality and trustable data sets and metrics
 </li>
 <li>
 Help accelerate the adoption of the data discovery platform by building integrations across online, analytics platforms and promoting self-serve
 </li>
 <li>
 Come up with solutions for scaling data systems for various business needs
 </li>
 <li>
 Collaborate in a dynamic startup environment
 
 
 </li>
 </ul>
 
 We're excited about you because&hellip;
 
 
 
 <ul>
 <li>
 B.E./B.Tech., M.E./M.Tech, or Ph.D. in Computer Science or equivalent
 </li>
 <li>
 2+ years of experience with CS fundamental concepts and experience with at least one of the programming languages of Scala, Java, and Python
 </li>
 <li>
 Prior technical experience in Big Data infrastructure &amp; governance - you've built meaningful pieces of data infrastructure. Bonus if those were open-sourced technologies like DataHub, Spark, Airflow, Kafka, Flink
 </li>
 <li>
 Experience improving efficiency, scalability, and stability of data platforms
 
 
 </li>
 </ul>
 We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on June 20, 2024.
 
 
 Please see the independent bias audit report covering our use of Covey here.
 
 
 
 About DoorDash
 
 
 
 At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users&mdash;from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.
 
 
 DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.
 
 
 
 Our Commitment to Diversity and Inclusion
 
 
 
 We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
 
 
 If you need any accommodations, please inform your recruiting contact upon initial connection.
 
 
 
 About DoorDash
 
 
 
 At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users&mdash;from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.
 
 
 DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.
 
 
 
 Our Commitment to Diversity and Inclusion
 
 
 
 We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
 
 
 If you need any accommodations, please inform your recruiting contact upon initial connection.
 
 
 
 We use Covey as part of our hiring and/or promotional process for jobs in certain locations.
 
 
 
 
 The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here:
 
 https://getcovey.com/nyc-local-law-144
 
 
 
 To request a reasonable accommodation under applicable law or alternate selection process, please inform your recruiting contact upon initial connection.
 
</div>

Software Engineer, Backend

<div>
 
 Job Description
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Design, develop, and maintain data pipelines and ETL/ELT workflows using GCP-native tools and services.
 </li>
 <li>
 Build and optimize data warehouses using Snowflake.
 </li>
 <li>
 Write complex and efficient SQL queries for data transformation, analysis, and reporting.
 </li>
 <li>
 Collaborate with analysts, data scientists, and business stakeholders to understand data needs and deliver reliable solutions.
 </li>
 <li>
 Implement data governance, security, and monitoring best practices across GCP projects.
 </li>
 <li>
 Tune queries and optimize performance of large-scale datasets.
 </li>
 <li>
 Automate workflows using Cloud Composer (Airflow) or similar orchestration tools.
 
 
 </li>
 </ul>
 Required Skills &amp; Qualifications:
 
 
 <ul>
 <li>
 3+ years of experience in a data engineering or data platform role.
 </li>
 <li>
 Strong hands-on experience with Snowflake data warehousing
 </li>
 <li>
 Expert-level skills in SQL &mdash; able to write optimized, scalable, and complex queries.
 </li>
 <li>
 Experience with data modeling (star/snowflake schema), partitioning, clustering, and performance tuning in a data warehouse.
 </li>
 <li>
 Familiarity with modern ELT tools such as dbt, Fivetran, or Cloud Data Fusion.
 </li>
 <li>
 Experience in Python or similar scripting language for data engineering tasks.
 </li>
 <li>
 Understanding of data governance, privacy, and Google Cloud Platform services, especially BigQuery, Cloud Storage, Dataflow, Pub/Sub, Composer.
 </li>
 </ul>
</div>

Data Engineer (Snowflake)

Tata Communications Transformation Services (TCTS)

<div>
 
 
 Job Description: Senior Network and Core Services Engineer
 
 
 
 
 
 
 
 Role Summary
 
 
 
 The Senior Network and Core Services Engineer is responsible for the design, implementation, and 24/7 operation of critical core network services and security infrastructure. This role requires
 
 deep, hands-on expertise across multiple vendor platforms and open-source technologies
 
 essential for Carrier-Grade performance, regulatory compliance, and subscriber services, including large-scale NAT, DNS/NTP services, and high-volume security logging. This role focuses on ensuring
 
 high availability, performance, and security
 
 of services like IPDR, CG-NAT, DNS, and Load Balancing, while driving process improvements and acting as an escalation point for complex technical issues.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Incident and Problem Management (L0-L3): Act as the final technical escalation point, performing deep-dive analysis, troubleshooting, and resolution for critical outages across the entire service delivery chain (Network, Applications, Security).
 </li>
 <li>
 System Maintenance and Health: Lead the administration, configuration, and maintenance of specialized Telco/Security platforms, including A10 CG-NAT, F5 BigIP (LTM/GTM), and Fortigate ADC/Firewall.
 </li>
 <li>
 Monitoring and Logging: Design, implement, and manage monitoring dashboards and alerts. Oversee the operation and optimization of the SGBox Log Management system for event correlation and security analysis.
 </li>
 <li>
 Security Operations: Monitor and respond to security events, perform vulnerability assessments, and ensure compliance with operational security policies (acting as a blended NOC/SOC function).
 </li>
 <li>
 Standard Operating Procedures (SOPs): Create, refine, and enforce SOPs and Methods of Procedure (MOPs) for routine maintenance, fault isolation, and disaster recovery scenarios.
 </li>
 <li>
 Team Leadership &amp; Mentorship: Provide technical guidance and mentorship to junior NOC/SOC analysts (L0/L1), conducting post-mortem analysis (RCA) and sharing knowledge to prevent recurring incidents.
 </li>
 <li>
 Architect, configure, and manage Carrier-Grade Network Address Translation (CGNAT) solutions on A10 Networks devices (e.g., Thunder Series) to support IPv4 address exhaustion, including LSN, DS-Lite, and advanced logging mechanisms
 </li>
 <li>
 Deploy, maintain, and troubleshoot the IP Detail Record (IPDR) or equivalent Open-Source logging solution for CGNAT session logging to ensure compliance with legal and regulatory requirements (Lawful Intercept/Data Retention).
 </li>
 <li>
 Manage the deployment and performance of DNS and Network Time Protocol (NTP) services, primarily utilizing F5 BIG-IP DNS (formerly GTM) for intelligent traffic steering and high availability
 </li>
 <li>
 Design and manage complex Application Delivery Controller (ADC) solutions and load-balancing services using F5 BIG-IP Local Traffic Manager (LTM), including VIPs, Pools, Monitors, iRules development, and SSL offloading.
 </li>
 <li>
 Configure, manage, and optimize FortiGate firewalls for network segmentation, high-speed security policies, VPN termination, and threat prevention.
 </li>
 <li>
 Integrate all core devices (A10, F5, FortiGate) with the SGBox platform for centralized Log Management and SIEM correlation. Develop custom parser rules, dashboards, reports, and correlation rules for proactive threat detection and compliance
 </li>
 <li>
 Utilize scripting (Python, Ansible) for configuration management, device provisioning, and log analysis automation across the multi-vendor environment.
 </li>
 </ul>
 
 
 
 
 
 Key Skills and Qualifications:-
 
 
 
 
 
 
 
 Network &amp; Core Telco
 
 
 <ul>
 <li>
 
 CG-NAT
 
 </li>
 </ul>
 
 
 Expert:
 
 Deep configuration and troubleshooting experience with
 
 A10
 
 or similar platforms (Carrier-Grade NAT, LSN, D-DOS Protection).
 
 <ul>
 <li>
 
 Load Balancing &amp; ADC- F5-BigIP
 
 </li>
 </ul>
 
 
 Expert:
 
 Advanced administration of
 
 LTM
 
 (Local Traffic Manager),
 
 GTM/DNS
 
 (Global Traffic Manager), iRules scripting, and high-availability setups.
 
 <ul>
 <li>
 
 Security &amp; Firewalls-Fortigate
 
 </li>
 </ul>
 
 Strong experience with deployment, policy management, routing, and
 
 Application Delivery Controller (ADC)
 
 features.
 
 <ul>
 <li>
 
 Logging &amp; SIEM- SGBox
 
 </li>
 </ul>
 
 Proficient in managing, querying, and configuring alert correlation rules within
 
 SGBox
 
 2or a comparable SIEM/Log Management solution.
 
 <ul>
 <li>
 
 Infrastructure Services-DNS / NTP
 
 </li>
 </ul>
 
 Expert-level knowledge of BIND/ISC-DNS or similar, synchronization protocols, and their operational security in a large-scale environment.
 
 <ul>
 <li>
 
 Data/Billing-IPDR
 
 </li>
 </ul>
 
 Understanding of
 
 IP Detail Record (IPDR)
 
 generation, collection, and correlation for billing/lawful interception purposes.
 
 <ul>
 <li>
 
 Operating Systems-Open Source
 
 </li>
 </ul>
 
 Advanced proficiency in
 
 Linux (RHEL/CentOS/Ubuntu)
 
 for application/server management, scripting (Bash/Python), and service troubleshooting.
 
 
 
 
 
 
 Soft Skills:-
 
 
 <ul>
 <li>
 Exceptional
 
 troubleshooting and analytical skills
 
 in a high-pressure, live-traffic environment.
 </li>
 <li>
 Strong ability to
 
 document and train
 
 NOC staff on new procedures and core system operations.
 </li>
 <li>
 Excellent communication skills for cross-functional collaboration (Legal, Engineering, NOC).
 </li>
 <li>
 Exceptional Communication: Clear and concise communication, both written and verbal, for technical documentation, incident updates, and stakeholder reporting.
 </li>
 <li>
 Critical Thinking &amp; Problem Solving: Proven ability to quickly isolate root causes under high-pressure, critical incident situations (e.g., major network outages).
 </li>
 <li>
 Ownership and Accountability: Demonstrates a high degree of ownership over incidents from detection through final resolution (L3).
 </li>
 <li>
 Team Collaboration: Ability to effectively collaborate with cross-functional teams (Engineering, Development, Security) and external vendors.
 </li>
 </ul>
 
 
 
 
 
 Relevant Certifications
 
 
 
 Certifications from the primary OEM vendors are highly desirable:
 
 
 
 Vendor/Technology
 
 
 
 
 Recommended Certification Level
 
 
 
 
 <ul>
 <li>
 
 A10 Networks (CGNAT)
 
 </li>
 <li>
 
 ACOS Certified Professional (ACP)
 
 or similar A10 certification.
 </li>
 <li>
 
 F5 Networks (ADC/DNS)
 
 </li>
 <li>
 
 F5 Certified BIG-IP Technical Specialist (CTS) LTM
 
 and
 
 DNS
 
 .
 </li>
 <li>
 
 Fortinet (Firewall)
 
 </li>
 <li>
 
 Fortinet NSE 4 (or higher, e.g., NSE 7)
 
 .
 </li>
 <li>
 
 Log Management
 
 </li>
 <li>
 
 SGBox Certified Specialist
 
 (or equivalent certification in a leading SIEM platform if SGBox specific training is unavailable).
 </li>
 <li>
 
 General Networking
 
 </li>
 <li>
 
 CCNP Service Provider
 
 or equivalent is a strong plus.
 </li>
 </ul>
 
 
 
 
 
 NOC Management Requirements
 
 
 <ul>
 <li>
 Shift Operations: Must be available to work in a 24x7 rotating shift environment as required to maintain continuous operational coverage.
 </li>
 <li>
 Escalation Management: Must be proficient in executing high-level escalations to vendor support (e.g., F5, A10, Fortinet) and managing internal C-Level communications during high-severity incidents.
 </li>
 <li>
 Performance Metrics: Experience working with and driving performance against key operational metrics (MTTR - Mean Time to Resolution, MTBF - Mean Time Between Failures, SLA compliance).
 </li>
 <li>
 Process Improvement: Ability to identify recurring issues and champion automation or process changes to eliminate manual, repetitive tasks
 </li>
 <li>
 Familiar with ticket lifecycle management, event correlation, and trouble ticket prioritization.
 </li>
 <li>
 Strong knowledge of incident severity classification, change advisory processes, and post-incident reviews.
 </li>
 <li>
 Exposure to automation and orchestration platforms for network fault and performance management.
 </li>
 <li>
 Ability to create and maintain dashboard views for real-time visibility of NOC/SOC performance metrics.
 </li>
 </ul>
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Manager/Senior Network and Core Services Engineer

Explore 112+ Big data engineer in Pune this December. Find roles across top companies and apply now to boost your career.

112 big data engineer jobs IN Pune

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Manager/Senior Network and Core Services Engineer