Big Data Engineer

Big Data Engineer at Ushur Technologies Pvt Ltd · Bengaluru (Bangalore) · 6 - 12 years · Raised funding · Posted 27 Sep 2022

Big Data Engineer

at Ushur Technologies Pvt Ltd

Posted by Priyanka N

6 - 12 yrs

Best in industry

Bengaluru (Bangalore)

Skills

MongoDB

Spark

Hadoop

Big Data

Data engineering

PySpark

Linux/Unix

ETL

Amazon Redshift

SNOWFLAKE

What You'll Do:
● Our Infrastructure team is looking for an excellent Big Data Engineer to join a core group that
designs the industry’s leading Micro-Engagement Platform. This role involves design and
implementation of architectures and frameworks of big data for industry’s leading intelligent
workflow automation platform. As a specialist in Ushur Engineering team, your responsibilities will
be to:
● Use your in-depth understanding to architect and optimize databases and data ingestion pipelines
● Develop HA strategies, including replica sets and sharding to for highly available clusters
● Recommend and implement solutions to improve performance, resource consumption, and
resiliency
● On an ongoing basis, identify bottlenecks in databases in development and production
environments and propose solutions
● Help DevOps team with your deep knowledge in the area of database performance, scaling,
tuning, migration & version upgrades
● Provide verifiable technical solutions to support operations at scale and with high availability
● Recommend appropriate data processing toolset and big data ecosystems to adopt
● Design and scale databases and pipelines across multiple physical locations on cloud
● Conduct Root-cause analysis of data issues
● Be self-driven, constantly research and suggest latest technologies

The experience you need:
● Engineering degree in Computer Science or related field
● 10+ years of experience working with databases, most of which should have been around
NoSql technologies
● Expertise in implementing and maintaining distributed, Big data pipelines and ETL
processes
● Solid experience in one of the following cloud-native data platforms (AWS Redshift/ Google
BigQuery/ SnowFlake)
● Exposure to real time processing techniques like Apache Kafka and CDC tools
(Debezium, Qlik Replicate)
● Strong experience in Linux Operating System
● Solid knowledge of database concepts, MongoDB, SQL, and NoSql internals
● Experience with backup and recovery for production and non-production environments
● Experience in security principles and its implementation
● Exceptionally passionate about always keeping the product quality bar at an extremely
high level
Nice-to-haves
● Proficient with one or more of Python/Node.Js/Java/similar languages

Why you want to Work with Us:
● Great Company Culture. We pride ourselves on having a values-based culture that
is welcoming, intentional, and respectful. Our internal NPS of over 65 speaks for
itself - employees recommend Ushur as a great place to work!
● Bring your whole self to work. We are focused on building a diverse culture, with
innovative ideas where you and your ideas are valued. We are a start-up and know
that every person has a significant impact!
● Rest and Relaxation. 13 Paid leaves, wellness Fridays offs (aka a day off to care
for yourself- every last Friday of the month), 12 paid sick Leaves, and more!
● Health Benefits. Preventive health checkups, Medical Insurance covering the
dependents, wellness sessions, and health talks at the office
● Keep learning. One of our core values is Growth Mindset - we believe in lifelong
learning. Certification courses are reimbursed. Ushur Community offers wide
resources for our employees to learn and grow.
● Flexible Work. In-office or hybrid working model, depending on position and
location. We seek to create an environment for all our employees where they can
thrive in both their profession and personal life.

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About Ushur Technologies Pvt Ltd

Founded :

2014

Type :

Product

Size :

100-500

Stage :

Raised funding

About

● Great Company Culture. We pride ourselves on having a values-based culture that

is welcoming, intentional, and respectful. Our internal NPS of over 65 speaks for

itself - employees recommend Ushur as a great place to work!

● Bring your whole self to work. We are focused on building a diverse culture, with

innovative ideas where you and your ideas are valued. We are a start-up and know

that every person has a significant impact!

● Rest and Relaxation. 13 Paid leaves, wellness Fridays offs (aka a day off to care

for yourself- every last Friday of the month), 12 paid sick Leaves, and more!

● Health Benefits. Preventive health checkups, Medical Insurance covering the

dependents, wellness sessions, and health talks at the office

● Keep learning. One of our core values is Growth Mindset - we believe in lifelong

learning. Certification courses are reimbursed. Ushur Community offers wide

resources for our employees to learn and grow.

● Flexible Work. In-office or hybrid working model, depending on position and

location. We seek to create an environment for all our employees where they can

thrive in both their profession and personal life

● Great Company Culture. We pride ourselves on having a values-based culture that

is welcoming, intentional, and respectful. Our internal NPS of over 65 speaks for

itself - employees recommend Ushur as a great place to work!

● Bring your whole self to work. We are focused on building a diverse culture, with

innovative ideas where you and your ideas are valued. We are a start-up and know

that every person has a significant impact!

● Rest and Relaxation. 13 Paid leaves, wellness Fridays offs (aka a day off to care

for yourself- every last Friday of the month), 12 paid sick Leaves, and more!

● Health Benefits. Preventive health checkups, Medical Insurance covering the

dependents, wellness sessions, and health talks at the office

● Keep learning. One of our core values is Growth Mindset - we believe in lifelong

learning. Certification courses are reimbursed. Ushur Community offers wide

resources for our employees to learn and grow.

● Flexible Work. In-office or hybrid working model, depending on position and

location. We seek to create an environment for all our employees where they can

thrive in both their profession and personal life

Connect with the team

Rashi Chhabra

Connect

Gururaja Kosigi

Connect

Company social profiles

N/A

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Job Title : Senior Data Engineer – GCP & Apache Spark

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Number of Positions : 3
Employment Type : Contract-to-Hire (C2H)
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Job Description

Role: Data Engineer

Location: Bangalore

Experience: 6+ Years

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Design, develop, and maintain scalable data processing pipelines using Amazon EMR.
Develop data engineering solutions using Python and Scala.
Process and transform large volumes of structured and unstructured data.
Build and optimize distributed data processing workflows for performance and scalability.
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About Solutionara

Solutionara is an AI-led IT Consulting and Technology Services organization delivering enterprise transformation through Cloud, Integration, Data Engineering, Digital Experience, AI, and Enterprise Applications.

Headquartered in the United States with a Global Delivery Center (GDC) in Noida, India, Solutionara partners with enterprise organizations across retail, manufacturing, distribution, consumer goods, and other industries to design, implement, and support scalable technology solutions.

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This is a hands-on engineering position requiring strong SQL, Python, ETL/ELT, database, cloud, and troubleshooting capabilities. The engineer will work closely with technical leads and client stakeholders while taking ownership of major engineering components.

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Key Responsibilities

Data Engineering

Design, develop, test, deploy, and support scalable ETL/ELT pipelines.
Build ingestion and transformation solutions across databases, APIs, files, and enterprise applications.
Develop high-quality SQL and Python-based data processing solutions.
Implement batch and incremental data-processing patterns.
Develop reusable engineering components and frameworks.
Support complex data migration and transformation activities.
Perform source-to-target mapping and technical data analysis.
Implement pipeline logging, monitoring, exception handling, and recovery mechanisms.

Database & Platform Engineering

Design and optimize relational database schemas and data structures.
Analyze and improve SQL/query performance.
Support indexing, partitioning, storage optimization, and database performance.
Implement appropriate database security and access controls.
Support database monitoring, availability, backup/recovery, and operational requirements in collaboration with infrastructure/platform teams.
Troubleshoot database and pipeline performance issues.
Contribute to cloud data-platform configuration and optimization.

Data Quality

Implement automated validation and data-quality controls.
Develop reconciliation processes between source and target systems.
Identify duplicate, incomplete, inconsistent, and invalid data.
Implement cleansing, standardization, validation, and exception-management logic.
Work with technical and business stakeholders to understand and implement business data rules.

Technical Delivery

Convert technical designs into reliable production solutions.
Participate in technical design and code reviews.
Mentor junior/mid-level engineers.
Support estimation and technical planning.
Troubleshoot complex production and integration issues.
Collaborate with technical leads, application teams, DevOps, QA, BI, and client teams.
Document technical designs, mappings, configurations, operational procedures, and engineering decisions.

Consulting & AI-Led Working

Understand the business purpose behind assigned engineering requirements.
Raise risks, assumptions, dependencies, and potential improvements proactively.
Communicate effectively with client and internal stakeholders.
Use AI-assisted tools to improve coding, testing, analysis, documentation, and troubleshooting productivity.
Independently verify AI-generated code and recommendations before implementation.
Identify opportunities for engineering automation and process improvement.

Required Qualifications

6–9 years of experience in data engineering, database engineering, data integration, or related areas.
Advanced SQL skills.
Strong hands-on Python experience.
Strong ETL/ELT development experience.
Strong relational database knowledge, such as SQL Server, PostgreSQL, Oracle, or equivalent.
Experience with data modeling and database design.
Experience with AWS, Azure, or another major cloud platform.
Experience with modern data technologies such as Databricks, Snowflake, Redshift, Synapse, Glue, ADF, Airflow, dbt, or equivalent.
Experience with performance tuning and optimization.
Experience with data validation and reconciliation.
Strong troubleshooting and analytical skills.
Ability to take ownership of engineering deliverables with limited supervision.

Preferred Qualifications

Experience working with enterprise ERP, CRM, PIM, PLM, MES, or related systems.
Experience with manufacturing, retail, distribution, or consumer-goods data.
Experience with CI/CD and infrastructure/platform engineering practices.
Experience with API and event-driven integrations.
Previous consulting or technology-services experience.

What Success Looks Like

Pipelines and databases perform reliably at enterprise scale.
Engineering solutions are maintainable, reusable, and well documented.
Data issues are detected and addressed systematically.
Junior engineers receive effective technical guidance.
Problems are owned through resolution rather than simply escalated.
Engineering decisions reflect both technical requirements and client business objectives.

About Solutionara

AI is embedded into how we work, but it is an enabler—not a replacement for expertise, critical thinking, or accountability.

Role Overview

Solutionara is seeking a Senior Data Engineer with strong data engineering and database expertise to design, build, optimize, and support enterprise-scale data solutions.

Location: Noida, India – Onsite | Employment Type: Full-Time | Experience: 6–9 Years

Key Responsibilities

Data Engineering

Design, develop, test, deploy, and support scalable ETL/ELT pipelines.
Build ingestion and transformation solutions across databases, APIs, files, and enterprise applications.
Develop high-quality SQL and Python-based data processing solutions.
Implement batch and incremental data-processing patterns.
Develop reusable engineering components and frameworks.
Support complex data migration and transformation activities.
Perform source-to-target mapping and technical data analysis.
Implement pipeline logging, monitoring, exception handling, and recovery mechanisms.

Database & Platform Engineering

Design and optimize relational database schemas and data structures.
Analyze and improve SQL/query performance.
Support indexing, partitioning, storage optimization, and database performance.
Implement appropriate database security and access controls.
Support database monitoring, availability, backup/recovery, and operational requirements in collaboration with infrastructure/platform teams.
Troubleshoot database and pipeline performance issues.
Contribute to cloud data-platform configuration and optimization.

Data Quality

Implement automated validation and data-quality controls.
Develop reconciliation processes between source and target systems.
Identify duplicate, incomplete, inconsistent, and invalid data.
Implement cleansing, standardization, validation, and exception-management logic.
Work with technical and business stakeholders to understand and implement business data rules.

Technical Delivery

Convert technical designs into reliable production solutions.
Participate in technical design and code reviews.
Mentor junior/mid-level engineers.
Support estimation and technical planning.
Troubleshoot complex production and integration issues.
Collaborate with technical leads, application teams, DevOps, QA, BI, and client teams.
Document technical designs, mappings, configurations, operational procedures, and engineering decisions.

Consulting & AI-Led Working

Understand the business purpose behind assigned engineering requirements.
Raise risks, assumptions, dependencies, and potential improvements proactively.
Communicate effectively with client and internal stakeholders.
Use AI-assisted tools to improve coding, testing, analysis, documentation, and troubleshooting productivity.
Independently verify AI-generated code and recommendations before implementation.
Identify opportunities for engineering automation and process improvement.

Required Qualifications

6–9 years of experience in data engineering, database engineering, data integration, or related areas.
Advanced SQL skills.
Strong hands-on Python experience.
Strong ETL/ELT development experience.
Strong relational database knowledge, such as SQL Server, PostgreSQL, Oracle, or equivalent.
Experience with data modeling and database design.
Experience with AWS, Azure, or another major cloud platform.
Experience with modern data technologies such as Databricks, Snowflake, Redshift, Synapse, Glue, ADF, Airflow, dbt, or equivalent.
Experience with performance tuning and optimization.
Experience with data validation and reconciliation.
Strong troubleshooting and analytical skills.
Ability to take ownership of engineering deliverables with limited supervision.

Preferred Qualifications

Experience working with enterprise ERP, CRM, PIM, PLM, MES, or related systems.
Experience with manufacturing, retail, distribution, or consumer-goods data.
Experience with CI/CD and infrastructure/platform engineering practices.
Experience with API and event-driven integrations.
Previous consulting or technology-services experience.

What Success Looks Like

Pipelines and databases perform reliably at enterprise scale.
Engineering solutions are maintainable, reusable, and well documented.
Data issues are detected and addressed systematically.
Junior engineers receive effective technical guidance.
Problems are owned through resolution rather than simply escalated.
Engineering decisions reflect both technical requirements and client business objectives.

Data Engineering

at VY SYSTEMS PRIVATE LIMITED

Posted by Pavithra E

Bengaluru (Bangalore)

5 - 10 yrs

₹8L - ₹28L / yr

Python

PySpark

SQL

Job Description – Data Engineer

Role: Data Engineer

Experience: 9+ Years

Location: Bangalore / Hyderabad

Notice Period: Immediate to 15 Days

Interview Process: 1st Round – Virtual | 2nd Round – F2F

Mandatory Skills

Python
PySpark
SQL
Azure Data Engineering

Job Description

We are looking for an experienced Azure Data Engineer with 9+ years of experience and strong hands-on expertise in Python, PySpark, SQL, and Azure Data Engineering.

Key Responsibilities

Develop and maintain scalable data engineering solutions using Azure.
Build and optimize data processing pipelines using PySpark and Python.
Write complex SQL queries for data extraction and transformation.
Work with Azure data services and cloud-based data platforms.
Perform data processing, transformation, and integration.
Troubleshoot data pipeline and production issues.
Collaborate with technical and business teams to deliver data solutions.

Preferred: Immediate to 15 Days joiners.

Job Description – Data Engineer

Role: Data Engineer

Experience: 9+ Years

Location: Bangalore / Hyderabad

Notice Period: Immediate to 15 Days

Interview Process: 1st Round – Virtual | 2nd Round – F2F

Mandatory Skills

Python
PySpark
SQL
Azure Data Engineering

Job Description

We are looking for an experienced Azure Data Engineer with 9+ years of experience and strong hands-on expertise in Python, PySpark, SQL, and Azure Data Engineering.

Key Responsibilities

Develop and maintain scalable data engineering solutions using Azure.
Build and optimize data processing pipelines using PySpark and Python.
Write complex SQL queries for data extraction and transformation.
Work with Azure data services and cloud-based data platforms.
Perform data processing, transformation, and integration.
Troubleshoot data pipeline and production issues.
Collaborate with technical and business teams to deliver data solutions.

Preferred: Immediate to 15 Days joiners.

Senior Data Engineer (AWS, Python/Java) immediate joiner only

at Staffnixcom

Posted by Mayank Choudhary

Bengaluru (Bangalore)

6 - 9 yrs

₹37L - ₹42L / yr

Amazon Web Services (AWS)

Python

Strong Data Engineer (AWS) Profile

Mandatory (Experience 1) – Must have minimum 6+ years of experience in Data Engineering, with strong experience designing, developing, and maintaining scalable data pipelines and ETL processes.

Mandatory (Experience 2) – Must have 3+ years of hands-on experience with AWS data engineering services, particularly S3, AWS Glue, EMR, Lambda, and Redshift.

Mandatory (Experience 3) – Must have strong programming experience in Python, Java, or Scala, with hands-on development of data processing and pipeline solutions.

Mandatory (Experience 4) – Must have strong expertise in SQL, data warehousing, and database technologies, including experience with both SQL and NoSQL databases.

Mandatory (Experience 5) – Must have hands-on experience working with Big Data technologies and distributed data processing, including designing and optimizing large-scale data pipelines.

Mandatory (Experience 6) – Must have experience with data pipeline troubleshooting, monitoring, data quality, governance, and security best practices.

Mandatory (Education) – B.Tech / B.E./ M.Tech

Strong Data Engineer (AWS) Profile

Mandatory (Experience 1) – Must have minimum 6+ years of experience in Data Engineering, with strong experience designing, developing, and maintaining scalable data pipelines and ETL processes.

Mandatory (Experience 2) – Must have 3+ years of hands-on experience with AWS data engineering services, particularly S3, AWS Glue, EMR, Lambda, and Redshift.

Mandatory (Experience 3) – Must have strong programming experience in Python, Java, or Scala, with hands-on development of data processing and pipeline solutions.

Mandatory (Experience 4) – Must have strong expertise in SQL, data warehousing, and database technologies, including experience with both SQL and NoSQL databases.

Mandatory (Experience 5) – Must have hands-on experience working with Big Data technologies and distributed data processing, including designing and optimizing large-scale data pipelines.

Mandatory (Experience 6) – Must have experience with data pipeline troubleshooting, monitoring, data quality, governance, and security best practices.

Mandatory (Education) – B.Tech / B.E./ M.Tech

Senior Data Engineer (AWS, Python/Java) immediate joiner only

at Staffnixcom

Posted by Mayank Choudhary

Bengaluru (Bangalore)

6 - 9 yrs

₹37L - ₹42L / yr

Data engineering

Python

Strong Data Engineer (AWS) Profile

Mandatory (Experience 1) – Must have minimum 6+ years of experience in Data Engineering, with strong experience designing, developing, and maintaining scalable data pipelines and ETL processes.

Mandatory (Experience 2) – Must have 3+ years of hands-on experience with AWS data engineering services, particularly S3, AWS Glue, EMR, Lambda, and Redshift.

Mandatory (Experience 3) – Must have strong programming experience in Python, Java, or Scala, with hands-on development of data processing and pipeline solutions.

Mandatory (Experience 4) – Must have strong expertise in SQL, data warehousing, and database technologies, including experience with both SQL and NoSQL databases.

Mandatory (Experience 5) – Must have hands-on experience working with Big Data technologies and distributed data processing, including designing and optimizing large-scale data pipelines.

Mandatory (Experience 6) – Must have experience with data pipeline troubleshooting, monitoring, data quality, governance, and security best practices.

Mandatory (Education) – B.Tech / B.E./ M.Tech

Strong Data Engineer (AWS) Profile

Mandatory (Experience 1) – Must have minimum 6+ years of experience in Data Engineering, with strong experience designing, developing, and maintaining scalable data pipelines and ETL processes.

Mandatory (Experience 2) – Must have 3+ years of hands-on experience with AWS data engineering services, particularly S3, AWS Glue, EMR, Lambda, and Redshift.

Mandatory (Experience 3) – Must have strong programming experience in Python, Java, or Scala, with hands-on development of data processing and pipeline solutions.

Mandatory (Experience 4) – Must have strong expertise in SQL, data warehousing, and database technologies, including experience with both SQL and NoSQL databases.

Mandatory (Experience 5) – Must have hands-on experience working with Big Data technologies and distributed data processing, including designing and optimizing large-scale data pipelines.

Mandatory (Experience 6) – Must have experience with data pipeline troubleshooting, monitoring, data quality, governance, and security best practices.

Mandatory (Education) – B.Tech / B.E./ M.Tech