11+ ISA Jobs in India

Job Opening: Engineer / Sr. Engineer – Instrumentation & Control (I&C)

Location: Airoli, Navi Mumbai

Department: Engineering – E&I

Experience Required: 5–8 Years

Qualification: BE / B.Tech in Instrumentation Engineering

Water & Wastewater Treatment, Desalination, O&M, Recycle & Reuse, Sludge Treatment, and Sustainability Consulting.

Key Responsibilities:

• Detailed study of tender documents and preparation of specifications & datasheets for PLC, instruments, cables, JB, trays, etc.
• Review of P&IDs
• Preparation of Instrument Index, I/O List, Hook-up Drawings, BOQ
• Design calculations including UPS sizing
• PLC system architecture, interconnection diagrams, wiring schemes
• Instrument cable tray/rack layouts and electronic earthing layouts
• Preparation of cable schedules, termination schedules
• Technical evaluation of vendor offers (PLC, instruments, VFDs, control valves, cables, JB, trays)
• Vendor drawing review and participation in FAT
• Interaction with clients and vendors for technical queries
• Support site teams during installation and commissioning
• Handle multiple EPC projects with minimal supervision

Key Skills Required:

• I&C Design for Water / Wastewater / STP / ETP plants
• Instrument selection (Flow, Pressure, Level, Temperature, Analytical)
• PLC systems & third-party communication
• Control room & equipment layout
• Knowledge of ISA standards
• Technical bid evaluation & procurement support
• AutoCAD (working knowledge)
• MS Office (Excel, Word)

Additional Desirable Skills:

• SPI knowledge
• Boolean Logic understanding

• Minimum of 5 years of experience in B2B enterprise sales with atleast 1-2years in a start-up.
• Should have a proven track record of closing complex deals and managing large accounts.
• Strong understanding of the full sales lifecycle, from prospecting to closing, with expertise in consultative selling and solution-based sales
• Strong negotiation and deal-closing abilities, with the capacity to build trust and rapport with high-level stakeholders.
• Strong experience using CRM systems to track and manage sales pipelines, opportunities, and client interactions.
• Should have done a 0 to 1 sales growth story
• Must be handling West region currently and candidates from Mumbai preferred.

The Sr AWS/Azure/GCP Databricks Data Engineer at Koantek will use comprehensive

modern data engineering techniques and methods with Advanced Analytics to support

business decisions for our clients. Your goal is to support the use of data-driven insights

to help our clients achieve business outcomes and objectives. You can collect, aggregate, and analyze structured/unstructured data from multiple internal and external sources and

patterns, insights, and trends to decision-makers. You will help design and build data

pipelines, data streams, reporting tools, information dashboards, data service APIs, data

generators, and other end-user information portals and insight tools. You will be a critical

part of the data supply chain, ensuring that stakeholders can access and manipulate data

for routine and ad hoc analysis to drive business outcomes using Advanced Analytics. You are expected to function as a productive member of a team, working and

communicating proactively with engineering peers, technical lead, project managers, product owners, and resource managers. Requirements:

 Strong experience as an AWS/Azure/GCP Data Engineer and must have

AWS/Azure/GCP Databricks experience.  Expert proficiency in Spark Scala, Python, and spark

 Must have data migration experience from on-prem to cloud

 Hands-on experience in Kinesis to process & analyze Stream Data, Event/IoT Hubs, and Cosmos

 In depth understanding of Azure/AWS/GCP cloud and Data lake and Analytics

solutions on Azure.  Expert level hands-on development Design and Develop applications on Databricks.  Extensive hands-on experience implementing data migration and data processing

using AWS/Azure/GCP services

 In depth understanding of Spark Architecture including Spark Streaming, Spark Core, Spark SQL, Data Frames, RDD caching, Spark MLib

 Hands-on experience with the Technology stack available in the industry for data

management, data ingestion, capture, processing, and curation: Kafka, StreamSets, Attunity, GoldenGate, Map Reduce, Hadoop, Hive, Hbase, Cassandra, Spark, Flume, Hive, Impala, etc

 Hands-on knowledge of data frameworks, data lakes and open-source projects such

asApache Spark, MLflow, and Delta Lake

 Good working knowledge of code versioning tools [such as Git, Bitbucket or SVN]

 Hands-on experience in using Spark SQL with various data sources like JSON, Parquet and Key Value Pair

 Experience preparing data for Data Science and Machine Learning with exposure to- model selection, model lifecycle, hyperparameter tuning, model serving, deep

learning, etc

 Demonstrated experience preparing data, automating and building data pipelines for

AI Use Cases (text, voice, image, IoT data etc. ).  Good to have programming language experience with. NET or Spark/Scala

 Experience in creating tables, partitioning, bucketing, loading and aggregating data

using Spark Scala, Spark SQL/PySpark

 Knowledge of AWS/Azure/GCP DevOps processes like CI/CD as well as Agile tools

and processes including Git, Jenkins, Jira, and Confluence

 Working experience with Visual Studio, PowerShell Scripting, and ARM templates.  Able to build ingestion to ADLS and enable BI layer for Analytics

 Strong understanding of Data Modeling and defining conceptual logical and physical

data models.  Big Data/analytics/information analysis/database management in the cloud

 IoT/event-driven/microservices in the cloud- Experience with private and public cloud

architectures, pros/cons, and migration considerations.  Ability to remain up to date with industry standards and technological advancements

that will enhance data quality and reliability to advance strategic initiatives

 Working knowledge of RESTful APIs, OAuth2 authorization framework and security

best practices for API Gateways

 Guide customers in transforming big data projects, including development and

deployment of big data and AI applications

 Guide customers on Data engineering best practices, provide proof of concept, architect solutions and collaborate when needed

 2+ years of hands-on experience designing and implementing multi-tenant solutions

using AWS/Azure/GCP Databricks for data governance, data pipelines for near real-

time data warehouse, and machine learning solutions.  Over all 5+ years' experience in a software development, data engineering, or data

analytics field using Python, PySpark, Scala, Spark, Java, or equivalent technologies.  hands-on expertise in Apache SparkTM (Scala or Python)

 3+ years of experience working in query tuning, performance tuning, troubleshooting, and debugging Spark and other big data solutions.  Bachelor's or Master's degree in Big Data, Computer Science, Engineering, Mathematics, or similar area of study or equivalent work experience

 Ability to manage competing priorities in a fast-paced environment

 Ability to resolve issues

 Basic experience with or knowledge of agile methodologies

 AWS Certified: Solutions Architect Professional

 Databricks Certified Associate Developer for Apache Spark

 Microsoft Certified: Azure Data Engineer Associate

 GCP Certified: Professional Google Cloud Certified

What you need to have:

About the role

We are looking for a Product Manager with experience of shipping features in a fast-paced environment. The candidate will own products under one of the verticals- Micro-savings, Micro-insurance or Micro-credit. The candidate will closely work with product managers, engineers, designers, marketers and business folks to identify product insights, create the product vision, drive development, launch high-quality product experiences and continuously iterate.

What We are Looking For

• Have a minimum 2 years of Product Management experience (not to be confused with total work ex). You should have shipped products/features in the past. This is non-negotiable.
• Demonstrated ability to lead teams and work cross-functionally in a highly collaborative but fast, changing and ambiguous environment.
• Understands the consumer through past experiences, research, and market data and ensures laser focus on the consumer during product development.
• Ability to think out of the box and on your feet.
• Excellent product design skills with solid experience in creating wireframes, storyboards, user flows and process flows
• Strong business acumen
• Intuitive but data-driven combining power of analytics and heuristics with innovative customer validation techniques
• Ability to marshall consensus and sell product vision both internally and externally.

You should apply If

• 2-5 years of experience in product management.
• You're passionate about building the best possible user experience and you monitor your metrics to see whether you're delivering
• Experience managing a team and developing internet or media products and technologies would be highly preferred.
• Experience in managing fintech products is highly desirable.
• End-to-end product management experience with software/web technologies (e.g. on mobile).
• You are comfortable with ambiguity, believe in first principles and have the skill to transform broad ideas into action plans
• You have empathy towards users and colleagues, are creative and excited by ideating/ building
• You have business acumen to appreciate and understand levers for business growth and profitability
• You seek high ownership, independent environments and feedback oriented cultures

10+ years of sales/business development experience in Cyber Security Domain

·        Experience building and executing a partner led go to market model

·        Strong background in executive-level communication

·        Strong skills in a cross-functional teaming environment

·        Having an insightful view of the overall business landscape, including financial and partner business drivers

·        Understands how to evaluate, interpret, and incorporate financial data in daily decisions to understand the organization's financial goals and focus the efforts in solving complex partner needs

·        Demonstrated ability to build and maintain executive level relationships at customers, partners .

·        Working across Boundaries - Ability to work cross-functionally with multiple business units, partners and solution teams in complex business engagements

·        Strategic Vision - Develops short and long-term strategy