Senior Data Engineer

Curl Analytics

Senior Data Engineer

wrackle

Company

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Senior Data Engineer

at Curl Analytics

Agency job

via wrackle

5 - 10 yrs

₹15L - ₹30L / yr

Bengaluru (Bangalore)

Skills

ETL

Big Data

Data engineering

Apache Kafka

PySpark

Python

Pipeline management

Spark

Apache Hive

Docker

Kubernetes

MongoDB

SQL server

Oracle

Machine 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

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

Users love Cutshort

Read about what our users have to say about finding their next opportunity on Cutshort.

Subodh Popalwar

Software Engineer, Memorres

For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.

Companies hiring on Cutshort

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System Administration

PostgreSQL

Oracle 10g

4+ years of experience working with Enterprise RDBMS, handling database Development/Administration. Able to manage RDS servers. Should have hands on experience in writing SQL, managing indexes and schema. Operational experience in monitoring and tuning production issues majorly involved in optimizing the performance and functionality Deep understanding of MySQL/PostgreSQL parameters Operational experience in data migration at large scale. Configure the machines to meet internal security requirements. Provide on-call support which can require analysis and troubleshooting of complex issues. Lead and contribute to design discussions in a cross functional project setting. Operational tasks assisting Dev/ QA to setup perf/database tools. Develop database standards, guidelines and best practices. Mandatory Skills Strong knowledge on Postgres & Mysql/MongoDB/Elastic Search significant experience with Python, bash/ scripting language Worked on Amazon RDS service. Knowledge and operational experience with linux environments. Experience in troubleshooting, tuning and optimizing performance of database servers. Experience in setting up Monitoring/alerting tools like Nagios/PMM/Monyog/Anemometer In-depth knowledge and experience of software development lifecycle

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