Data Engineer

Data Engineer at ValueLabs · Mumbai, Bengaluru (Bangalore), Pune, Hyderabad, Delhi, Gurugram, Noida, Ghaziabad, Faridabad, Chandigarh, Ahmedabad, Vadodara, Surat, Kolkata, Chennai · 5 - 8 years · ₹6L - ₹18L / yr · Profitable · Posted 14 Oct 2022

Data Engineer

at ValueLabs

Agency job

via Saiva System

5 - 8 yrs

₹6L - ₹18L / yr

Mumbai, Bengaluru (Bangalore), Pune, Hyderabad, Delhi, Gurugram, Noida, Ghaziabad, Faridabad, Chandigarh, Ahmedabad, Vadodara, Surat, Kolkata, Chennai

Skills

PowerBI

PL/SQL

PySpark

Data engineering

Big Data

Hadoop

Spark

we are hiring for valuelabs
Senior Software Engineer
MUST HAVE:
POWER BI with PLSQL
experience: 5+ YEARS
cost: 18 LPA
WHF- HYBRID

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About ValueLabs

Founded :

1997

Type :

Services

Size :

5000+

Stage :

Profitable

About

Technology, innovation and problem solving – that’s where we play. We specialize in digital enablement, software product development and data technology. We are a trusted technology partner to over 300 clients globally, serving them from 26 offices worldwide using our OneCompany® model of engagement. We were born out of an unselfish act when we built a free, computer based learning program for school students. To sustain this financially, we used the same infrastructure for software projects and the original team of 3 people has now grown to over 7,500. The founding unselfish gene is intact and we bring that same spirit of service to clients globally.

Connect with the team

sathya sarathi

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We are looking for a dynamic Data Engineer to join our team of technology enthusiasts. You will leverage data to drive strategic decision-making and pioneering solutions, working with complex datasets, collaborating closely with stakeholders, and transforming data into actionable insights to drive innovation.

Qualifications and Skills:

Minimum 5 years of experience as a Data Engineer
Hands-on experience with Azure cloud-based data solutions
Expertise in database design and management, including SQL databases such as SQL Server
Proficient in ETL (Extract, Transform, Load) design for data integration and processing
Strong knowledge of data modeling principles and techniques
Ability to analyze and translate data into actionable insights, reports, and visualizations
Proficiency in Power BI for reporting and data visualization

Desirable Skills:

Experience with Power BI Report Builder / Reporting Services
Knowledge of statistical analysis or Data Science
Experience within the UK Insurance industry is a plus
Python or R coding skills

Responsibilities:

Implement efficient data exchange between internal and external systems to increase efficiency and reduce re-keying and translation errors
Support the Broking business by developing high-quality information resources, ensuring data availability and accessibility for decision-making
Engineer data inputs and outputs from core applications and semi-structured remote service data through data syncs between data lake, ODS (SQL database), and leveraging Fabric and ADF
Perform data engineering tasks including ingestion, cleansing, and collation from a wide range of internal and external sources
Implement different methods of streaming data and create reconciliations for datasets
Build analytical models to support reporting and analytics
Collaborate with an agile delivery team to work on the backlog of specified work

Qualifications and Skills:

Minimum 5 years of experience as a Data Engineer
Hands-on experience with Azure cloud-based data solutions
Expertise in database design and management, including SQL databases such as SQL Server
Proficient in ETL (Extract, Transform, Load) design for data integration and processing
Strong knowledge of data modeling principles and techniques
Ability to analyze and translate data into actionable insights, reports, and visualizations
Proficiency in Power BI for reporting and data visualization

Desirable Skills:

Experience with Power BI Report Builder / Reporting Services
Knowledge of statistical analysis or Data Science
Experience within the UK Insurance industry is a plus
Python or R coding skills

Responsibilities:

Implement efficient data exchange between internal and external systems to increase efficiency and reduce re-keying and translation errors
Support the Broking business by developing high-quality information resources, ensuring data availability and accessibility for decision-making
Engineer data inputs and outputs from core applications and semi-structured remote service data through data syncs between data lake, ODS (SQL database), and leveraging Fabric and ADF
Perform data engineering tasks including ingestion, cleansing, and collation from a wide range of internal and external sources
Implement different methods of streaming data and create reconciliations for datasets
Build analytical models to support reporting and analytics
Collaborate with an agile delivery team to work on the backlog of specified work