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Senior Data Engineer
Curl Analytics
Senior Data Engineer
Curl Analytics's logo

Senior Data Engineer

at Curl Analytics

Agency job
5 - 10 yrs
₹15L - ₹30L / yr
Bengaluru (Bangalore)
Skills
ETL
Big Data
Data engineering
Apache Kafka
PySpark
skill iconPython
Pipeline management
Spark
Apache Hive
skill iconDocker
skill iconKubernetes
skill iconMongoDB
SQL server
Oracle
skill iconMachine Learning (ML)
BigQuery
What you will do
  • Bring in industry best practices around creating and maintaining robust data pipelines for complex data projects with/without AI component
    • programmatically ingesting data from several static and real-time sources (incl. web scraping)
    • rendering results through dynamic interfaces incl. web / mobile / dashboard with the ability to log usage and granular user feedbacks
    • performance tuning and optimal implementation of complex Python scripts (using SPARK), SQL (using stored procedures, HIVE), and NoSQL queries in a production environment
  • Industrialize ML / DL solutions and deploy and manage production services; proactively handle data issues arising on live apps
  • Perform ETL on large and complex datasets for AI applications - work closely with data scientists on performance optimization of large-scale ML/DL model training
  • Build data tools to facilitate fast data cleaning and statistical analysis
  • Ensure data architecture is secure and compliant
  • Resolve issues escalated from Business and Functional areas on data quality, accuracy, and availability
  • Work closely with APAC CDO and coordinate with a fully decentralized team across different locations in APAC and global HQ (Paris).

You should be

  •  Expert in structured and unstructured data in traditional and Big data environments – Oracle / SQLserver, MongoDB, Hive / Pig, BigQuery, and Spark
  • Have excellent knowledge of Python programming both in traditional and distributed models (PySpark)
  • Expert in shell scripting and writing schedulers
  • Hands-on experience with Cloud - deploying complex data solutions in hybrid cloud / on-premise environment both for data extraction/storage and computation
  • Hands-on experience in deploying production apps using large volumes of data with state-of-the-art technologies like Dockers, Kubernetes, and Kafka
  • Strong knowledge of data security best practices
  • 5+ years experience in a data engineering role
  • Science / Engineering graduate from a Tier-1 university in the country
  • And most importantly, you must be a passionate coder who really cares about building apps that can help people do things better, smarter, and faster even when they sleep
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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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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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