Data Engineer

Cloud infrastructure solutions and support company. (SE1)

Data Engineer

Multi Recruit

Company

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Data Engineer

at Cloud infrastructure solutions and support company. (SE1)

Agency job

via Multi Recruit

2 - 6 yrs

₹12L - ₹16L / yr

Pune

Skills

SQL

ETL

Data engineering

Big Data

Java

Python

PySpark

Design, create, test, and maintain data pipeline architecture in collaboration with the Data Architect.
Build the infrastructure required for extraction, transformation, and loading of data from a wide variety of data sources using Java, SQL, and Big Data technologies.
Support the translation of data needs into technical system requirements. Support in building complex queries required by the product teams.
Build data pipelines that clean, transform, and aggregate data from disparate sources
Develop, maintain and optimize ETLs to increase data accuracy, data stability, data availability, and pipeline performance.
Engage with Product Management and Business to deploy and monitor products/services on cloud platforms.
Stay up-to-date with advances in data persistence and big data technologies and run pilots to design the data architecture to scale with the increased data sets of consumer experience.
Handle data integration, consolidation, and reconciliation activities for digital consumer / medical products.

Job Qualifications:

Bachelor’s or master's degree in Computer Science, Information management, Statistics or related field
5+ years of experience in the Consumer or Healthcare industry in an analytical role with a focus on building on data pipelines, querying data, analyzing, and clearly presenting analyses to members of the data science team.
Technical expertise with data models, data mining.
Hands-on Knowledge of programming languages in Java, Python, R, and Scala.
Strong knowledge in Big data tools like the snowflake, AWS Redshift, Hadoop, map-reduce, etc.
Having knowledge in tools like AWS Glue, S3, AWS EMR, Streaming data pipelines, Kafka/Kinesis is desirable.
Hands-on knowledge in SQL and No-SQL database design.
Having knowledge in CI/CD for the building and hosting of the solutions.
Having AWS certification is an added advantage.
Having Strong knowledge in visualization tools like Tableau, QlikView is an added advantage
A team player capable of working and integrating across cross-functional teams for implementing project requirements. Experience in technical requirements gathering and documentation.
Ability to work effectively and independently in a fast-paced agile environment with tight deadlines
A flexible, pragmatic, and collaborative team player with the innate ability to engage with data architects, analysts, and scientists

Design, create, test, and maintain data pipeline architecture in collaboration with the Data Architect.
Build the infrastructure required for extraction, transformation, and loading of data from a wide variety of data sources using Java, SQL, and Big Data technologies.
Support the translation of data needs into technical system requirements. Support in building complex queries required by the product teams.
Build data pipelines that clean, transform, and aggregate data from disparate sources
Develop, maintain and optimize ETLs to increase data accuracy, data stability, data availability, and pipeline performance.
Engage with Product Management and Business to deploy and monitor products/services on cloud platforms.
Stay up-to-date with advances in data persistence and big data technologies and run pilots to design the data architecture to scale with the increased data sets of consumer experience.
Handle data integration, consolidation, and reconciliation activities for digital consumer / medical products.

Job Qualifications:

Bachelor’s or master's degree in Computer Science, Information management, Statistics or related field
5+ years of experience in the Consumer or Healthcare industry in an analytical role with a focus on building on data pipelines, querying data, analyzing, and clearly presenting analyses to members of the data science team.
Technical expertise with data models, data mining.
Hands-on Knowledge of programming languages in Java, Python, R, and Scala.
Strong knowledge in Big data tools like the snowflake, AWS Redshift, Hadoop, map-reduce, etc.
Having knowledge in tools like AWS Glue, S3, AWS EMR, Streaming data pipelines, Kafka/Kinesis is desirable.
Hands-on knowledge in SQL and No-SQL database design.
Having knowledge in CI/CD for the building and hosting of the solutions.
Having AWS certification is an added advantage.
Having Strong knowledge in visualization tools like Tableau, QlikView is an added advantage
A team player capable of working and integrating across cross-functional teams for implementing project requirements. Experience in technical requirements gathering and documentation.
Ability to work effectively and independently in a fast-paced agile environment with tight deadlines
A flexible, pragmatic, and collaborative team player with the innate ability to engage with data architects, analysts, and scientists

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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