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Sr. Big Data Engineer
Sr. Big Data Engineer
Inncircles 's logo

Sr. Big Data Engineer

Gangadhar M's profile picture
Posted by Gangadhar M
3 - 5 yrs
Best in industry
Hyderabad
Skills
PySpark
Spark
skill iconPython
ETL
Amazon EMR
Amazon S3
SQL
NOSQL Databases
athena
Apache Kafka
Apache Spark
skill iconMongoDB


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
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About Inncircles

Founded :
2019
Type :
Product
Size :
100-500
Stage :
Profitable

About

Inncircles Arena – a Modern Construction Management Platform, is a composed one stop solution for construction management that is highly configurable, easily adaptable, data centric while leveraging advanced artificial intelligence and cloud technologies to ramp up construction company's digital transformation initiatives. It empowers construction teams to go beyond the tactical to strategic. Through the platform, residential, industrial and infrastructure construction companies gain real-time insights into their projects, a unified communication and collaboration space, powerful configuration capabilities to integrate with existing or legacy tools and technologies. Detailed products and solution packages allow for planning, scheduling, assigning, tracking, and analyzing construction work packages from pre-planning stage to handover. Solving Construction Business Challenges through Technology • Work Management: Elevate efficiency and transform project management by scheduling works, tracking progress while gaining real-time insights. • Quality Management: Ensure projects meet the required quality standards by performing regular inspections and issue tracking. • Safety Management: Record and monitor safety incidents in real-time, schedule inspections, and store pertinent safety documentation. • Advanced Work Package (AWP): Build package of works, schedule work packages and monitor progress. • Data and Analytics: Gain profound insights of projects through visually stunning dashboards that bring your data to life. • Mobile Application: Offer mobile accessibility to enable field teams to access information, submit updates, and communicate in real-time, improving overall efficiency. • Integrations: Foster connectivity in the construction eco system with Arenas potent integration capabilities. • Pre-Construction Planning: Drive project planning, budgeting, estimating, bidding, and collaboration during the pre-construction phase. • Procurement: Create procurement packages
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