Solution Architect - Data Engineering - PUNE - 13+ yrs

Hi,

Wishes from GSN!!! Pleasure connecting with you!!!

We been into Corporate Search Services for Identifying & Bringing in Stellar Talented Professionals for our reputed IT / Non-IT clients in India. We have been successfully providing results to various potential needs of our clients for the last 20 years.

DATA ENGINEERING - Solution Architect

1. WORK LOCATION : PUNE

2. Job Role: DATA ENGINEERING - Solution Architect

3. EXPERIENCE : 13+ yrs

4. CTC Range: Rs. 35 LPA to Rs. 50 LPA

5. Work Type : WFO Hybrid

******

Who are we looking for :

• Architectural Vision & Strategy:

  Define and articulate the technical vision, strategy and roadmap for

  Big Data, data streaming, and NoSQL solutions

  , aligning with overall enterprise architecture and business goals.

Required Skills :

• 13+ years of progressive EXP in

  software development, data engineering and solution architecture roles, with a strong focus on large-scale distributed systems.

Expertise in Big Data Technologies:

• Apache Spark:

  Deep expertise in

  Spark architecture, Spark SQL, Spark Streaming, performance tuning, and optimization techniques.

  Experience with data processing paradigms (batch and real-time).

• Hadoop Ecosystem:

  Strong understanding of

  HDFS, YARN, Hive and other related Hadoop components

  .

Real-time Data Streaming:

• Apache Kafka:

  Expert-level knowledge of

  Kafka architecture, topics, partitions, producers, consumers, Kafka Streams, KSQL, and best practices for high-throughput, low-latency data pipelines.

NoSQL Databases:

• Couchbase: In-depth experience with Couchbase OR MongoDB OR Cassandra),

  including data modeling, indexing, querying (N1QL), replication, scaling, and operational best practices.

API Design & Development:

• Extensive experience in designing and implementing robust, scalable and secure APIs

  (RESTful, GraphQL)

  for data access and integration.

Programming & Code Review:

• Hands-on coding proficiency in at least one relevant language (

  Python, Scala, Java

  ) with a preference for Python and/or Scala for data engineering tasks.
• Proven experience in leading and performing code reviews, ensuring code quality, performance, and adherence to architectural guidelines.

Cloud Platforms:

• Extensive EXP in designing and implementing solutions on at least one major cloud platform (

  AWS, Azure, GCP

  ), leveraging their

  Big Data, streaming, and compute services

  .

Database Fundamentals:

• Solid understanding of relational database concepts, SQL, and data warehousing principles.

System Design & Architecture Patterns:

• Deep knowledge of various architectural patterns (e.g.,

  Microservices, Event-Driven Architecture, Lambda/Kappa Architecture, Data Mesh

  ) and their application in

  data solutions.

DevOps & CI/CD:

• Familiarity with

  DevOps principles, CI/CD pipelines, infrastructure as code (IaC) and automated deployment strategies for data platforms

  .

******

NAK @ 9840035825 / 9244912300

Best,

ANANTH | GSN |