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Job Title : Senior Data Engineer

Experience : 6 to 10 Years

Location : Gurgaon (Hybrid – 3 days office / 2 days WFH)

Notice Period : Immediate to 30 days (Buyout option available)

About the Role :

We are looking for an experienced Senior Data Engineer to join our Digital IT team in Gurgaon.

This role involves building scalable data pipelines, managing data architecture, and ensuring smooth data flow across the organization while maintaining high standards of security and compliance.

Mandatory Skills :

Azure Data Factory (ADF), Azure Cloud Services, SQL, Data Modelling, CI/CD tools, Git, Data Governance, RDBMS & NoSQL databases (e.g., SQL Server, PostgreSQL, Redis, ElasticSearch), Data Lake migration.

Key Responsibilities :

• Design and develop secure, scalable end-to-end data pipelines using Azure Data Factory (ADF) and Azure services.
• Build and optimize data architectures (including Medallion Architecture).
• Collaborate with cross-functional teams on cybersecurity, data privacy (e.g., GDPR), and governance.
• Manage structured/unstructured data migration to Data Lake.
• Ensure CI/CD integration for data workflows and version control using Git.
• Identify and integrate data sources (internal/external) in line with business needs.
• Proactively highlight gaps and risks related to data compliance and integrity.

Required Skills :

• Azure Data Factory (ADF) – Mandatory
• Strong SQL and Data Modelling expertise.
• Hands-on with Azure Cloud Services and data architecture.
• Experience with CI/CD tools and version control (Git).
• Good understanding of Data Governance practices.
• Exposure to ETL/ELT pipelines and Data Lake migration.
• Working knowledge of RDBMS and NoSQL databases (e.g., SQL Server, PostgreSQL, Redis, ElasticSearch).
• Understanding of RESTful APIs, deployment on cloud/on-prem infrastructure.
• Strong problem-solving, communication, and collaboration skills.

Additional Info :

• Work Mode : Hybrid (No remote); relocation to Gurgaon required for non-NCR candidates.
• Communication : Above-average verbal and written English skills.

Perks & Benefits :

• 5 Days work week
• Global exposure and leadership collaboration.
• Health insurance, employee-friendly policies, training and development.

Job position: Analyst programmer 

Location: Mumbai - Andheri East

Salary: 12-13LPA (negotiable)

EXPERIENCE: 3+ years 

Experience in Winforms mandatory

Qualifications:

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

 Proven experience as an Analyst Programmer or similar role.

 Proficiency in programming languages such as C#, Asp.net, Winform etc.

 Strong understanding of software development methodologies (e.g., Agile, Waterfall).

 Experience with database management systems SQL Server.

 Excellent analytical and problem-solving skills.

 Strong communication and interpersonal skills

Title: Data Platform / Database Architect (Postgres + Kafka) — AI‑Ready Data Infrastructure

Location: Noida (Hybrid). Remote within IST±3 considered for exceptional candidates.

Employment: Full‑time

About Us

We are building a high‑throughput, audit‑friendly data platform that powers a SaaS for financial data automation and reconciliation. The stack blends OLTP (Postgres), streaming (Kafka/Debezium), and OLAP (ClickHouse/Snowflake/BigQuery), with hooks for AI use‑cases (vector search, feature store, RAG).

Role Summary

Own the end‑to‑end design and performance of our data platform—from multi‑tenant Postgres schemas to CDC pipelines and analytics stores—while laying the groundwork for AI‑powered product features.

What You’ll Do

• Design multi‑tenant Postgres schemas (partitioning, indexing, normalization, RLS), and define retention/archival strategies.  

• Make Postgres fast and reliable: EXPLAIN/ANALYZE, connection pooling, vacuum/bloat control, query/index tuning, replication.  

• Build event‑streaming/CDC with Kafka/Debezium (topics, partitions, schema registry), and deliver data to ClickHouse/Snowflake/BigQuery.  

• Model analytics layers (star/snowflake), orchestrate jobs (Airflow/Dagster), and implement dbt‑based transformations.  

• Establish observability and SLOs for data: query/queue metrics, tracing, alerting, capacity planning.  

• Implement data security: encryption, masking, tokenization of PII, IAM boundaries; contribute to PCI‑like audit posture.  

• Integrate AI plumbing: vector embeddings (pgvector/Milvus), basic feature‑store patterns (Feast), retrieval pipelines and metadata lineage.  

• Collaborate with backend/ML/product to review designs, coach engineers, write docs/runbooks, and lead migrations.

Must‑Have Qualifications

• 6+ years building high‑scale data platforms with deep PostgreSQL experience (partitioning, advanced indexing, query planning, replication/HA).  

• Hands‑on with Kafka (or equivalent) and Debezium/CDC patterns; schema registry (Avro/Protobuf) and exactly‑once/at‑least‑once tradeoffs.  

• One or more analytics engines at scale: ClickHouse, Snowflake, or BigQuery, plus strong SQL.  

• Python for data tooling (pydantic, SQLAlchemy, or similar); orchestration with Airflow or Dagster; transformations with dbt.  

• Solid cloud experience (AWS/GCP/Azure)—networking, security groups/IAM, secrets management, cost controls.  

• Pragmatic performance engineering mindset; excellent communication and documentation.

Nice‑to‑Have

• Vector/semantic search (pgvector/Milvus/Pinecone), feature store (Feast), or RAG data pipelines.  

• Experience in fintech‑style domains (reconciliation, ledgers, payments) and SOX/PCI‑like controls.  

• Infra‑as‑Code (Terraform), containerized services (Docker/K8s), and observability stacks (Prometheus/Grafana/OpenTelemetry).  

• Exposure to Go/Java for stream processors/consumers.  

• Lakehouse formats (Delta/Iceberg/Hudi).

Qualification: BE/Dip in Civil Engineer

Experience: 1 to 5+Years

1.   Preparing and implementing project plans.

2.   Structural analysis & Design, Engineering drawings.

3.   Ability to work on deadlines and within budgets

4.   Preparing monthly and daily reports detailing progress on engineering procurement.

5.   Quality Assurance and Quality control.

6.   Problem-solving skills

7.   Excellent verbal and written communication skills

8.   Negotiating, supervisory and leadership skills

9.   Complete knowledge of relevant legislation.

10. liaising with Architect, electrician, plumber, and painter and subcontractors

11. Analyze the results of tests on building materials, such as concrete, wood, asphalt, or steel, for use in particular projects

12. Highly flexible with the ability to work independently or within a team environment

13. Preparing a Reconciliation statement based on Quality of materials received, Quality of materials use and calculate the materials wastage.

14. Excellent knowledge of design and visualizations software such as AutoCAD, Civil 3D or similar.

15. Proficiency in site layout, grading, utility design, erosion control, pipelines, water and sewage systems and waste disposal units

16. Over seeing periodical repairs/ renovations, maintenance works in the existing branches and group companies.

17.  Experience in store purchase of Raw materials.

18. Worked with subordinates of Plastering, Brick work, Shuttering, Execution, Blog building,

Concreting, Leveling, waterproofing, Labour control and Interior work

19. Willingness to travel and work in different locations when required.

• Have a deep understanding of NLP, Computer Vision
• Potentially have exposure to Knowledge Graphs
• Have strong solution skills in translating customer needs to product requirements
• Engineering background mandatory, you will be expected to get hands-on with code and data
• Project manage the delivery of POCs and Product, interfacing with engineering and implementation teams
• Propose and implement fast Proof of Concepts and lightweight experiments
• Ability and experience working with technical teams, and development, requirement analysis, or PM experience around APIs is a plus
• Excellent analytical skills with a tendency to prefer data over instinct
• Experience working in a fast-paced environment, with competing resources and priorities, through planning, development, and launch.
• Exposure to data science will be a big plus.
• Exposure or experience in Financial Services a big plus

• Join a client call and understand what their requirements are
• Work with a developer (or solo) to build a quick POC using our technologies for the client
• Work with the engineering team to build and deploy production solutions (cloud and on-prem)
• Do calls with client technical, architecture, and data science teams to explain our product and deployment

• At least 3 years of diverse experience in product or services organizations working on NLP driven products
• Experience in serving Enterprise / Fortune 500 Clients
• Familiarity with the competitive landscape of NLP and Computer Vision products
• Experience in IDP / RPA a big plus
• Expertise in programming using Python or similar scripting languages
• In-depth exposure to technologies used in web-based SaaS products, including REST APIs
• Sound understanding of Postgres and NoSQL databases such as MongoDB

• AWS
• Azure
• ELK
• Google APIs
• Microservices Architecture Pattern

• Resourcefulness- - we're looking for versatile developers who are good at figuring out what they need to use, learn, build, re-purpose to get the job done quickly and efficiently.
• Ownership- - We like to be directive and not prescriptive in our management. We- d love for you to take ownership of what you work on, and tell us what to do, rather than the other way round.
• Work Ethic- - We've grown up on Wall Street. We work hard and have aggressive goals. We want our teammates to be focused, goal-oriented, and consistent high achievers.
• Execution Focus- - Our business is about getting things done and getting things done right. We want outcome-focused colleagues who can multi-task, and execute quickly and elegantly.

Responsibilities

• Identify and Source candidates with matching skills and experience as specified in the requirements
• Interview and qualify shortlisted candidates to confirm suitability (technical, administrative and personal), attitude, honesty and reliability
• Confirm that the chosen candidates are willing to be deputed to work at our clients’ premises
• Build confidence and trust in the candidates that they are our team and full-time employees
• Follow-up with candidates by sharing with and obtaining from the candidates all information promptly and periodically throughout the recruitment process  

Location: Chennai

Experience: 3+ years

Domain: Domestic Staffing Industry

Skills: Recruitment of IT and other engineers for Telecom Industry

Geographical Coverage: Pan India

Work Hours: 6 Days Week except Second Saturday

• Manage sales operations in assigned district to achieve revenue goals.
• Supervise sales team members; the BSMs, on daily basis and provide guidance whenever needed.
• Identify skill gaps and conduct trainings to sales team.
• Work with team to implement new sales techniques to obtain profits.
• Assist in employee recruitment, promotion, retention and termination activities.
• Conduct employee performance evaluation and provide feedback for improvements.
• Contact potential customers and identify new business opportunities.
• Stay abreast with customer needs, market trends and competitors.
• Maintain clear and complete sales reports for management review.
• Build strong relationships with customers for business growth.
• Analyze sales performances and recommend improvements.
• Ensure that sales team follows company policies and procedures at all times.
• Develop promotional programs to increase sales and revenue.
• Plan and coordinate sales activities for assigned projects.
• Provide outstanding services and ensure customer satisfaction.