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3 Capco Technologies Data Engineer Jobs
Data Engineer - (Hadoop/Hive/python/Spark/Scala)
5-8 years
₹ 11.5 - 25L/yr (AmbitionBox estimate)
This is an estimate of the average salary range for this
position. It has not been reviewed by the company, and
the actual salary may differ.
Bangalore / Bengaluru
1 vacancy
Data Engineer - (Hadoop/Hive/python/Spark/Scala)
Capco Technologies
posted 4mon ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
The Senior Data Engineer will be responsible for designing, developing, and maintaining scalable data pipelines and building out new API integrations to support continuing increases in data volume and complexity. They will collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
Responsibilities:
- Design, construct, install, test and maintain highly scalable data management systems & Data Pipeline.
- Ensure systems meet business requirements and industry practices.
- Build high-performance algorithms, prototypes, predictive models, and proof of concepts.
- Research opportunities for data acquisition and new uses for existing data.
- Develop data set processes for data modeling, mining and production.
- Integrate new data management technologies and software engineering tools into existing structures.
- Create custom software components and analytics applications.
- Install and update disaster recovery procedures.
- Collaborate with data architects, modelers, and IT team members on project goals.
- Provide senior level technical consulting to peer data engineers during data application design and development for highly complex and critical data projects.
Qualifications:
- Bachelors degree in computer science, Engineering, or related field, or equivalent work experience.
- Proven 5-8 years of experience as a Senior Data Engineer or similar role.
- Experience with big data tools: Hadoop, Spark, Kafka, Ansible, chef, Terraform, Airflow, and Protobuf RPC etc
- Expert level SQL skills for data manipulation (DML) and validation (DB2).
- Experience with data pipeline and workflow management tools.
- Experience with object-oriented/object function scripting languages: Python, Java, Go lang etc
- Strong problem solving and analytical skills.
- Excellent verbal communication skills.
- Good interpersonal skills.
- Ability to provide technical leadership for the team.
Employment Type: Full Time, Permanent
Read full job descriptionPrepare for Data Engineer roles with real interview advice
People are getting interviews at Capco Technologies through
People are getting interviews through
(based on 51 Capco Technologies interviews)
Job Portal
Company Website
Referral
Recruitment Consultant
58%
12%
6%
6%
18% candidates got the interview through other sources.
High
Confidence
?
High Confidence means the data is based on a large number of responses received from the candidates.
What Data Engineer at Capco Technologies are saying
Rating based on 1 Data Engineer
review
Anonymous · DBA / Data warehousing
in Bengaluru/Bangalore
Likes
Everything, good company to work
Dislikes
Learning is vey less
Read 1 reviewData Engineer salary at Capco Technologies
reported by
5
employees
with 3-8
years exp.
₹6.5
L/yr - ₹25
L/yr
37%
more
than the average Data Engineer Salary in India
View more details
What Capco Technologies employees are saying about work life
based on 475 employees
Flexible timing
Monday to Friday
No travel
Day Shift
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Capco Technologies Bangalore / Bengaluru Office Locations
Bengaluru/Bangalore, Karnataka Office
Headquarter
Electronic City, Tower 23, 70/1,2,3,4 Keonics Electronic City, Phase 1, EC4, Bengaluru 560100, India
Bengaluru/Bangalore, Karnataka
560100
560100
Bengaluru/Bangalore, Karnataka Office
Headquarter
Tower S2, Survey No 70,77,78/8A, Doddakannelli, Sarjapur Road, Bengaluru 560035, India
Bengaluru/Bangalore, Karnataka
560035
560035
Data Engineer - (Hadoop/Hive/python/Spark/Scala)
5-8 Yrs
Bangalore / Bengaluru
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