
We are looking for a highly skilled Sr. Big Data Engineer with 3-5 years of experience in
building large-scale data pipelines, real-time streaming solutions, and batch/stream
processing systems. The ideal candidate should be proficient in Spark, Kafka, Python, and
AWS Big Data services, with hands-on experience in implementing CDC (Change Data
Capture) pipelines and integrating multiple data sources and sinks.
Responsibilities
- Design, develop, and optimize batch and streaming data pipelines using Apache Spark and Python.
- Build and maintain real-time data ingestion pipelines leveraging Kafka and AWS Kinesis.
- Implement CDC (Change Data Capture) pipelines using Kafka Connect, Debezium or similar frameworks.
- Integrate data from multiple sources and sinks (databases, APIs, message queues, file systems, cloud storage).
- Work with AWS Big Data ecosystem: Glue, EMR, Kinesis, Athena, S3, Lambda, Step Functions.
- Ensure pipeline scalability, reliability, and performance tuning of Spark jobs and EMR clusters.
- Develop data transformation and ETL workflows in AWS Glue and manage schema evolution.
- Collaborate with data scientists, analysts, and product teams to deliver reliable and high-quality data solutions.
- Implement monitoring, logging, and alerting for critical data pipelines.
- Follow best practices for data security, compliance, and cost optimization in cloud environments.
Required Skills & Experience
- Programming: Strong proficiency in Python (PySpark, data frameworks, automation).
- Big Data Processing: Hands-on experience with Apache Spark (batch & streaming).
- Messaging & Streaming: Proficient in Kafka (brokers, topics, partitions, consumer groups) and AWS Kinesis.
- CDC Pipelines: Experience with Debezium / Kafka Connect / custom CDC frameworks.
- AWS Services: AWS Glue, EMR, S3, Athena, Lambda, IAM, CloudWatch.
- ETL/ELT Workflows: Strong knowledge of data ingestion, transformation, partitioning, schema management.
- Databases: Experience with relational databases (MySQL, Postgres, Oracle) and NoSQL (MongoDB, DynamoDB, Cassandra).
- Data Formats: JSON, Parquet, Avro, ORC, Delta/Iceberg/Hudi.
- Version Control & CI/CD: Git, GitHub/GitLab, Jenkins, or CodePipeline.
- Monitoring/Logging: CloudWatch, Prometheus, ELK/Opensearch.
- Containers & Orchestration (nice-to-have): Docker, Kubernetes, Airflow/Step
- Functions for workflow orchestration.
Preferred Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
- Experience in large-scale data lake / lake house architectures.
- Knowledge of data warehousing concepts and query optimisation.
- Familiarity with data governance, lineage, and cataloging tools (Glue Data Catalog, Apache Atlas).
- Exposure to ML/AI data pipelines is a plus.
Tools & Technologies (must-have exposure)
- Big Data & Processing: Apache Spark, PySpark, AWS EMR, AWS Glue
- Streaming & Messaging: Apache Kafka, Kafka Connect, Debezium, AWS Kinesis
- Cloud & Storage: AWS (S3, Athena, Lambda, IAM, CloudWatch)
- Programming & Scripting: Python, SQL, Bash
- Orchestration: Airflow / Step Functions
- Version Control & CI/CD: Git, Jenkins/CodePipeline
- Data Formats: Parquet, Avro, ORC, JSON, Delta, Iceberg, Hudi

About Inncircles
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⭐ Experience: 2+ Years
📍 Location: Mumbai
⭐ Work Mode:- 5 Days Work From Office
⏱️ Notice Period: Immediate Joiners or 15 Days
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🎯 Role Overview
We are a UK-based SaaS company powering online ordering, POS, and mobile apps for restaurants and takeaways. We already serve 1200+ clients on our legacy platform and are migrating to a modern Python-Django, React, Flutter, microservices stack hosted on OVH Cloud.
We’re looking for a hands-on Senior Architect/Lead based in India (preferably Kerala) who can:
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- Flutter (cross-platform apps)
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Send CV + GitHub/LinkedIn. In your cover note, describe:
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Exp:1-5yrs
Cpmpany delivering the best quality products and services to the customers by hiring diligent and kosher white collars so that the company becomes a productive entity and caters customer satisfaction to the last straw.
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Good to Have
Django/ Flask
Strong Hands-on experience in HTML, CSS, DTL(Django Template Language), SASS.
knowledge of SQL










