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Responsibilities

• Prepare Subcontract Agreement and Joint Venture Agreement and conclude the same in coordination with Manager.
• Managing manpower with respect to Quantity basis &Timely completion basis.
• Ensure the current market rate. (Analysis of particular work as per Quantity basis, Work description basis)
• Follow up Subcontractor's Performance Bonds and Tender Bonds
• Reviews Subcontractor's monthly invoice and prepare Subcontractor's Payment Certificates.
• Identify variation or change order and prepare valuation accounts.
• Assist the Purchasing Department and Site Project Manager in contractual matters related to procurement / supply contract and agreements.
• Reviewing the contract documents prior to tendering.
• Reviews and clarifies show drawings.
• Coordinate Project Close-Out Procedures including manuals, warranties and As-built drawings.

Senior Data Engineer

• Data Engineering • Streaming Pipelines • Graph Databases • Entity Resolution

Role at a Glance Level

• Lead / Senior (Individual Contributor / Team Lead Track) Experience
• 7 - 10 years of relevant professional experience Location
• Remote (Pune Based Preferred) Employment Type
• Contract Industry Preference
• Any (Healthcare preferred - Payer / Provider experience strongly preferred)

About the Role

We are looking for a Senior Data Engineer with deep expertise in streaming architectures, graph database platforms, and large-scale data pipeline engineering. This is a high-ownership, hands-on role that sits at the intersection of real-time data infrastructure, entity resolution, and multi-database system design.

You will architect and build pipelines that drive a complex, multi-layered data platform - ingesting from diverse upstream sources, resolving entities at scale, and keeping graph, relational, search, and caching layers in sync. You will work closely with data architects, AI engineers, and product teams to deliver reliable, high-performance data infrastructure that powers downstream analytics and intelligent applications across any domain.

Key Responsibilities

Streaming & Ingestion Architecture

•Design and build production-grade CDC (Change Data Capture) pipelines using Apache Kafka, consuming events from PostgreSQL, SQL Server, and other RDBMS sources into a centralised knowledge graph.

•Architect multi-source ingestion connectors supporting schema evolution, backpressure handling, and at-least-once delivery guarantees across heterogeneous data sources.

•Configure and govern Confluent Schema Registry with Avro / Protobuf schemas across all Kafka topics; enforce backward and forward compatibility standards.

•Design micro-batch and streaming ETL/ELT workflows using Apache Spark or equivalent frameworks for bulk initial loads and ongoing incremental refresh patterns.

•Manage messaging workflows where required; define routing, dead-letter, and retry strategies appropriate to each integration pattern.

Graph Database Engineering

•Design, build, and optimise graph data models on a production graph database platform; Neo4j is preferred but experience with Amazon Neptune, ArangoDB, TigerGraph, or equivalent graph databases is valued.

•Author complex graph queries and traversal patterns - Cypher (Neo4j), Gremlin (Neptune/TinkerPop), or SPARQL - for both operational and analytical use cases.

•Own ingestion-side write strategies for the graph layer: batch import patterns, upsert logic, index management, and performance tuning under high write throughput.

•Collaborate with senior architects to ensure graph data models honour defined schema constraints and governance standards; apply constraint validation frameworks where applicable.

•Engineer reliable data flows across complementary stores - relational (PostgreSQL), search (Elasticsearch), caching (Redis), and time-series (TimescaleDB) - with consistent transaction semantics.

Entity Resolution & Data Quality

•Build probabilistic entity resolution engines for large-scale deduplication across master data domains - customers, products, entities, or records - leveraging record linkage concepts (Fellegi-Sunter model, blocking strategies, confidence thresholds) and libraries such as Splink, Zingg, or Dedupe.io.

•Define and enforce data quality validation rules at ingestion time; implement automated alerting for schema violations, volume anomalies, and SLA breaches.

•Design master data management patterns for cross-system entity matching and golden record creation; ensure consistency across all downstream consumers.

Data Platform & Lakehouse

•Design and implement data lakehouse patterns (Iceberg / Parquet on S3-compatible or Azure storage) for historical data retention, cost-efficient storage, and analytical workloads.

•Build and maintain ETL/ELT pipelines using Apache Spark or dbt; define transformation logic, partitioning strategies, and incremental processing patterns.

•Ensure data lineage, audit trail, and observability are built into pipeline design from the outset using OpenTelemetry or equivalent tooling.

Technical Leadership & Collaboration

•Contribute to a sub-team of data engineers; participate in sprint planning, design reviews, and on-call rotations for critical pipelines.

•Define and enforce coding standards, pipeline patterns, and infrastructure-as-code practices using Terraform, Docker, and Kubernetes.

•Drive proof-of-concept evaluations for new ingestion technologies, graph platforms, and data tooling relevant to the engagement.

Required Qualifications

Experience

•7 - 10 years of progressive experience in data engineering or a closely related discipline.

•Demonstrated track record of delivering production-grade streaming and CDC pipeline systems in enterprise environments across any industry vertical.

•Hands-on experience with graph database platforms in production - Neo4j preferred; Amazon Neptune, ArangoDB, TigerGraph, or equivalent is acceptable.

•Practical experience with entity resolution, fuzzy matching, or master data management at scale (500K+ records).

•Solid experience with multi-database architectures combining graph, relational, and search layers.

•Candidates from any industry are welcome; experience in regulated or data-intensive domains (financial services, retail, logistics, telecoms, healthcare) is advantageous.

Technical Skills

•Streaming & CDC: Apache Kafka

•Graph Databases: Production experience with at least one graph database platform - Neo4j (preferred), Amazon Neptune, ArangoDB, or TigerGraph; proficiency in the associated query language (Cypher, Gremlin, or SPARQL).

•Supporting Databases: PostgreSQL (relational), Elasticsearch (search), Redis (caching).

•Programming: Python (Advanced) - pipeline automation, data workflow scripting, testing; SQL at expert level for complex transformations and query optimisation.

•Entity Resolution: Probabilistic record linkage concepts; practical experience with Splink, Zingg, Dedupe.io, or a comparable library.

•Data Engineering: High-volume ETL/ELT pipeline design; Apache Spark for distributed processing; data lakehouse patterns (Iceberg, Parquet, Delta Lake).

•Cloud & Infrastructure: AWS or Azure - production delivery on at least one platform; Docker, Kubernetes, Terraform.

•Familiarity with semantic or schema standards - OWL 2, RDF, SHACL, JSON-LD - sufficient to write conformant graph data models against a defined schema.

•Experience with OpenTelemetry, distributed tracing, or observability tooling for pipeline monitoring and incident response.

•Prior work in compliance-driven data environments with audit trail, data masking, or access control requirements.

•Exposure to graph analytics and visualisation tooling such as Neo4j Bloom, Gephi, or equivalent.

•Experience with data governance platforms such as Microsoft Purview, Collibra, or Alation.

Preferred Qualifications

•Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related engineering discipline.

Job Details

- Job Title: Sr. System Test Engineer

- Industry: engineering

- Domain - Information technology (IT)

- Experience Required: 6-10 years

- Employment Type: Full Time

- Job Location: Pune

- CTC Range: Best in Industry

Job Description

• Designation- Sr. System Test Engineer
• Qualifications: B.E./B.Tech Electrical / Instrumentation / Electronics / Mechatronics / MSc Electronics, Electrical
• Experience: 6-10 years.
• Location: Pune.
• Work Mode: Hybrid (1-day WFH, 4-days from Office)

A. Skills & Technologies:

Mandatory:

• PLC Programming in Ladder/Structured Text/Function blocks.
• Configuring and commissioning Servo Drives, VFDs & Inverters.
• Experienced in Motion Control Programming in PLC for servo drives.
• Experience in Robotic (Drive Groups, Multi-Axes) programming in PLC.
• Design and Commissioning experience for Machine automation and turnkey projects,
• (including but not limited to Factory Acceptance Test (FAT) / Site Acceptance Test (SAT)).
• Hands On with one or more Fieldbus technologies (like Ethernet/IP, PROFINET,
• EtherCAT, Ethernet PowerLINK, CAN, PROFIBUS, ControlNET, DeviceNET).
• Configuring of PLC Backplane IOs and Remote IOs on Fieldbus.

Desirable:

• Electrical Wiring Design for Control panels.
• Experience in Manual testing.

B. Behaviors:

• Good team player
• Open to learn new technologies.
• Agile in nature
• Self-motivated and proactive

C. Role and Responsibilities:

• Design and execute tests on complete automation system.
• Test motion, robotics related Function blocks in PLC code, before release to market.
• Analyze requirements, design PLC programs, write and execute system tests.
• Follow required test processes as defined by Lead/Manager.

Must-Haves

6years of Hands‑on experience in PLC programming.

6years of Hands‑on experience in configuring and commissioning Servo Drives and VFDs.

6years of Hands‑on experience in motion control programming in PLC for servo drives.

Good communication skills.

A strong “can‑do” attitude.

Willingness to learn.

Ability to work effectively in a team.

Bachelor's degree - B.E./B.Tech Electrical / Instrumentation / Electronics / Mechatronics / MSc Electronics, Electrical

Minimum of 2years of stability with each company

*******

Notice Period: Immediate to 30days.

Oracle Fusion HCM Functional Consultant (Oracle workforce compensation and Talent Management)

 POSITION SUMMARY

·    7-9+ years experience in Oracle Cloud.

·    Must have experience in Oracle Fusion Cloud HCM Modules (Oracle workforce compensation and Talent Management).

·    End to end configuration of above Modules.

·    Create and update configuration books.

·    Support the preparation and execution of test scripts and resolve testing defects.

·    Create and update functional design documents.

·    Release upgrade testing.

·    Securities.

·    Good presentation and communication skills - Responsible for communicating and escalating project issues to the team leads.

·    Responsible for project deliverables from offshore for HCM Modules.

·   Exposure to structured software development life-cycle methodology.

·   Experience of working with multi-cultural teams in a geographically diverse environment.

·    Experience in creating workflow and security for the module.

·    Good to have experience in Redwood theme and Visual builder studio.

Strong UX Researcher Profile

Mandatory (Experience 1) - Must have 3+ YOE hands-on UX Research / User Research for B2C Products

Mandatory (Experience 2) - Should have hands-on experience in User Research, Persona's, User Stories, Work-Flows, and Usability Testing

Mandatory (Experience 3) - Must have worked on both qualitative and quantitative research methodologies

Mandatory (Portfolio) - Portfolio showcasing UX Research works for Good B2C Apps / Website / Product Companies

Mandatory (CTC) - The CTC breakup offered will be 80% fixed, and 20% variable, as per Company policy.

Preferred

Preferred (Company) - Product Company

Strong Data engineer profile

Mandatory (Experience 1): Must have 6 months+ of hands-on Data Engineering experience.

Mandatory (Experience 2): Must have end-to-end experience in building & maintaining ETL/ELT pipelines (not just BI/reporting).

Mandatory (Technical): Must have strong SQL capability

Preferred

Preferred (Experience): Worked on Call center data

Job Specific Criteria

CV Attachment is mandatory

Have you used Databricks or any notebook environment?

Have you worked on ETL/ELT workflow?

We have an alternate Saturdays working. Are you comfortable to WFH on 1st and 4th Saturday?

Key Responsibilities:

• Generate qualified leads in Mumbai and Bangalore.
• Build and maintain strong client relationships.
• Prepare and deliver product demos, proposals, and technical presentations.
• Coordinate with pre-sales/engineering teams for customized solutions.
• Follow up on proposals using CRM and convert to deals.
• Attend industry events, conferences, and site visits.
• Keep track of market trends, competitors, and pricing strategies.

Position: Call Quality Analyst

Monitoring Calls:

Listen to recorded or live calls between customer service representatives and customers.

Evaluate the call based on predefined quality metrics and guidelines.

Quality Assessment:

• Assess and score calls on various criteria, including but not limited to, professionalism, communication skills, adherence to scripts or protocols, problem-solving abilities, and compliance with company policies.
• Feedback and Coaching:
• Provide constructive feedback to call center agents on their performance, highlighting strengths and areas for improvement.
• Offer coaching and training to help agents enhance their skills and meet quality standards.
• Reporting and Documentation:
• Maintain detailed records and documentation of evaluations, scores, feedback, and coaching sessions.
• Generate regular reports on individual and team performance for management review.
• Root Cause Analysis:
• Identify recurring issues or trends in calls and collaborate with relevant departments (e.g., training, operations) to address and resolve 
• Compliance and Policy Adherence:
• Ensure that agents adhere to company policies, legal requirements, and industry regulations during customer interactions.
• Process Improvement:
• Propose improvements to call center processes, scripts, training materials, or policies based on insights gained from call evaluations.
• Training and Development Support:
• Assist in the development and delivery of training materials and programs for call center agents.
• Conduct refresher training sessions on specific skills or areas identified for improvement.
• Quality Assurance Metrics:
• Collaborate with stakeholders to establish and refine key performance indicators (KPIs) for call quality.
• Monitor and analyze performance metrics to ensure they align with organizational goals.
• Stakeholder Communication:
• Communicate findings, trends, and improvement recommendations to call center management, supervisors, and relevant departments.

Qualifications:

• Minimum 2 years of experience as a Call Quality Analyst.
• Previous experience in a call center or customer service role is often preferred.
• Strong analytical skills and attention to detail.
• Excellent communication skills, both written and verbal.
• Proficiency in using call monitoring software and tools.
•  Knowledge of industry-specific regulations and compliance standards (if applicable).

Requirements

• 3+ years of experience in the Development of JAVA technology.
• Strong Java Basics
• Linux
• SpringBoot or Spring MVC
• Hands-on experience in Relational Databases (SQL query or Hibernate) + Mongo (JSON parsing)
• Proficient in REST API development
• Messaging Queue (RabitMQ or Kafka)
• Microservices
• Java 8
• Any Caching Mechanism
• Good at problem-solving

Good to Have Skills:

• 3 years of experience in using Java/J2EE tech stacks
• Good understanding of data structures and algorithms.
• Excellent analytical and problem-solving skills.
• Ability to work in a fast-paced internet start-up environment.
• Experience in technical mentorship/coaching is highly desirable.
• Understanding AI/ML algorithms is a plus.