Data Engineer at Blitz Electric (IT W24) · Remote only · 2 - 4 years · ₹12L - ₹15L / yr · Raised funding · Remote only · Posted 6 Jun 2024
Python
JavaAbout us
Blitz is into Instant Logistics in Southeast Asia. Blitz was founded in the year 2021. It is in the business of delivering orders using EV bikes. Blitz not only delivers instant orders through EV Bikes, but it also finances the EV bikes to the drivers on lease and generates another source of revenue from the leasing as well apart from delivery charges. Blitz is revolutionizing instant coordination with the help of advanced technology-based solutions. It is a product-driven company and uses modern technologies to build products that solve problems in EV-based Logistics. Blitz is utilizing data sources coming from the EV bikes through IOT and smart engines to make technology-driven decisions to create a delightful experience for consumers
About the Role
We are seeking an experienced Data Engineer to join our dynamic team. The Data Engineer will be responsible for designing, developing, and maintaining scalable data pipelines and infrastructure to support our data-driven initiatives. The ideal candidate will have a strong background in software engineering, database management, and data architecture, with a passion for building robust and efficient data systems
What you will do
- Design, build, and maintain scalable data pipelines and infrastructure to ingest, process, and analyze large volumes of structured and unstructured data.
- Collaborate with cross-functional teams to understand data requirements and develop solutions to meet business needs.
- Optimise data processing and storage solutions for performance, reliability, and cost-effectiveness.
- Implement data quality and validation processes to ensure accuracy and consistency of data.
- Monitor and troubleshoot data pipelines to identify and resolve issues in time.
- Stay updated on emerging technologies and best practices in data engineering and recommend innovations to enhance our data infrastructure.
- Document data pipelines, workflows, and infrastructure to facilitate knowledge sharing and ensure maintainability.
- Create Data Dashboards from the datasets to visualize different data requirements
What we need
- Bachelor's degree or higher in Computer Science, Engineering, or a related field.
- Proven experience as a Data Engineer or similar role, with expertise in building and maintaining data pipelines and infrastructure.
- Proficiency in programming languages such as Python, Java, or Scala.
- Strong knowledge of database systems (e.g., SQL, NoSQL, BigQuery) and data warehousing concepts.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Familiarity with data processing frameworks and tools (e.g., Apache, Spark, Hadoop, Kafka).
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills.
Preferred Qualifications
- Advanced degree in Computer Science, Engineering, or related field.
- Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes).
- Knowledge of machine learning and data analytics concepts.
- Experience with DevOps practices and tools.
- Certifications in relevant technologies (e.g., AWS Certified Big Data Specialty, Google Professional Data Engineer).
Please refer to the Company’s website - https://rideblitz.com/
Shubham Vishwakarma
Full Stack Developer - Averlon
About Blitz Electric (IT W24)
About
Blitz is into Instant Logistics in Southeast Asia. Blitz was founded in the year 2021. It is in the business of delivering orders using EV bikes. Blitz not only delivers instant orders through EV Bikes, but it also finances the EV bikes to the drivers on lease and generates another source of revenue from the leasing as well apart from delivery charges. Blitz is revolutionizing instant coordination with the help of advanced technology-based solutions. It is a product-driven company and uses modern technologies to build products that solve problems in EV-based Logistics. Blitz is utilizing data sources coming from the EV bikes through IOT and smart engines to make technology-driven decisions to create a delightful experience for consumers
Company social profiles
Similar jobs (10)
JavaPythonWe are hiring for a Data Engineer & Java scala for a full-time opportunity in Bangalore.
Experience: 4–10 Years
Must-Have Skills:
Java / Scala / Python, Data Engineering, Databricks / Snowflake, and Cloud (AWS / Azure / GCP).
We are looking for strong software engineers with hands-on experience in data platform development, scalable backend programming, data integration, and cloud technologies.
Experience in Banking, Capital Markets, Market Risk, or Regulatory Reporting will be an added advantage.
Python
ScalaWe are hiring experienced Data Engineers for a permanent opportunity in Bangalore.
Job Description
Role: Data Engineer
Location: Bangalore
Experience: 6+ Years
Key Responsibilities:
- 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.
- Work with big data technologies and cloud-based data processing environments.
- Perform data integration, validation, transformation, and quality checks.
- Troubleshoot data pipeline issues and optimize processing performance.
- Collaborate with data architects, analysts, and development teams to deliver reliable data solutions.
Required Skills:
- Strong hands-on experience with Amazon EMR.
- Proficiency in Python and Scala.
- Experience in big data processing and data pipeline development.
- Good understanding of distributed computing and data transformation techniques.
- Experience in performance tuning and troubleshooting data processing jobs.
- Strong analytical, problem-solving, and communication skills.
Python1st virtual , 2nd round F2F
Python pyspark, SQL, data engineer
5+yrs
9+yrs
Bangalore/Hyderabad
immediate to 15days.
PythonJob Title : Senior Data Engineer – Databricks
Experience : 14 to 20 Years
Location : HSR Layout, Bangalore
Work Mode : Hybrid – 3 Days WFO
Shift : 11:30 AM – 07:30 PM IST
Positions : 2
Notice Period : Immediate Joiners Only
Interview : 1 Technical Round + 2 Client Rounds
Role Overview :
We are looking for a Senior Data Engineer to build and lead enterprise-scale data platforms for a Switzerland-based commodity client.
The role requires a strong hands-on Data Engineering professional with expertise in Databricks, PySpark, Python, SQL, and AWS, along with technical leadership and stakeholder management experience.
Must-Have Skills :
- 14 to 20 years of Data Engineering experience
- Databricks & Apache Spark / PySpark
- Python & SQL
- AWS Cloud
- Lakehouse Architecture
- ETL / ELT & Distributed Data Processing
- Batch & Streaming Pipelines
- Data Pipeline Optimization & Data Modeling
- CDC & Incremental Processing
- Git, CI/CD & Testing
- Data Quality, Monitoring & Observability
- Technical Leadership & Stakeholder Management
Key Responsibilities :
- Design and build scalable data pipelines using Databricks, PySpark, Python, SQL, and AWS.
- Own data products from design through production.
- Develop batch / streaming pipelines and reusable ETL / ELT frameworks.
- Optimize pipelines for performance, scalability, reliability, and cost.
- Design scalable data architectures and data models.
- Implement data quality, monitoring, lineage, and CI/CD practices.
- Lead technical discussions and mentor engineering teams.
- Collaborate with business stakeholders, architects, product owners, and engineering teams.
- Remain hands-on while providing technical leadership.
Ideal Candidate :
A 14 to 20 years experienced, hands-on Data Engineering leader with strong Databricks + PySpark + AWS expertise, excellent communication, stakeholder management, and experience delivering enterprise-scale data platforms.
🔴 Super Urgent : Only Bangalore-based immediate joiners.
Pythonrole: data engineer
Python pyspark, SQL, data engineer
5+yrs
Bangalore/Hyderabad
immediate to 15days.
Python1st virtual , 2nd round F2F
Python pyspark, SQL, data engineer
5+yrs
Bang/hyderabad
immediate to 15days.
PythonJob Summary
Role Overview
We are looking for an experienced Data Engineer with strong expertise in Python, ETL, Advanced SQL, CI/CD, DevOps, and Data Analytics. The ideal candidate should have hands-on experience designing and developing scalable data pipelines, transforming large datasets, and supporting data-driven applications.
Experience with Google Cloud Platform (GCP) will be an added advantage.
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT data pipelines using Python and SQL.
- Develop complex and optimized SQL queries, stored procedures, and data transformations.
- Build and maintain reliable data integration workflows across multiple data sources.
- Perform data cleansing, validation, transformation, and quality checks.
- Analyze data and provide insights to support business and technical requirements.
- Implement and maintain CI/CD pipelines for data engineering applications.
- Work with DevOps practices and tools to automate deployments, monitoring, and infrastructure processes.
- Troubleshoot data pipeline failures, performance issues, and production incidents.
- Optimize data processing workflows for performance, scalability, and reliability.
- Collaborate with Data Analysts, Data Scientists, Developers, and other stakeholders.
- Follow best practices for version control, testing, documentation, and deployment.
- Contribute to cloud-based data engineering initiatives, preferably on GCP.
Required Skills
- 5–7 years of hands-on experience in Data Engineering.
- Strong programming skills in Python.
- Strong expertise in Advanced SQL and database concepts.
- Hands-on experience with ETL/ELT processes and data pipelines.
- Good understanding of Data Warehousing and Data Modeling concepts.
- Experience with CI/CD practices and tools.
- Strong understanding of DevOps principles, automation, and deployment processes.
- Strong data analytics and problem-solving skills.
- Experience working with large datasets and performance optimization.
- Good understanding of Git/version control and software development best practices.
Good to Have
- Hands-on experience with Google Cloud Platform (GCP).
- Exposure to GCP data services such as BigQuery, Cloud Storage, Dataflow, Composer, or Pub/Sub.
- Experience with containerization/orchestration technologies such as Docker/Kubernetes.
- Experience with workflow orchestration tools such as Airflow.
- Knowledge of cloud-based data architecture and distributed data processing.
Preferred Candidate Profile
- Strong analytical and problem-solving abilities.
- Good communication and stakeholder management skills.
- Ability to work independently as well as in a collaborative team environment.
- Strong ownership of data pipelines and production systems.
- Candidates who can join at short notice are preferred.
Mandatory Skills
Data Engineer, Python , ETL, GCP, Advanced SQL, Strong Data Analytics skills, CICD, Devops
Python1st virtual , 2nd round F2F -
Python pyspark, SQL, data engineer
5+yrs
Bang/hyderabad
immediate to 15days.
Job Title : Senior Data Engineer – GCP & Apache Spark
Job Details :
- Number of Positions : 3
- Employment Type : Contract-to-Hire (C2H)
- Experience Required : 5 to 8 Years
- Location : Manyata Tech Park, Bengaluru
- Work Mode : Hybrid – 3 Days in Office per Week
- Preferred Notice Period : Immediate to 15–20 Days
- Project Duration : Initially 6–8 months, with a strong possibility of extension for long-term projects
- Relocation : Candidates from outside Bengaluru can apply if they are willing to relocate.
Role Overview :
We are looking for experienced Senior Data Engineers with strong expertise in Google Cloud Platform (GCP), Apache Spark, BigQuery, and SQL to design, develop, and maintain scalable data pipelines and distributed data processing solutions.
The ideal candidate should have hands-on experience with cloud-based data engineering, end-to-end pipeline architecture, system design, performance optimization, debugging, and CI/CD practices.
Mandatory skills :
Apache Spark (PySpark / Scala), SQL, GCP, BigQuery, GCP Dataproc, Data Pipelines, System Design, CI/CD, Debugging & Problem-Solving.
Key Responsibilities :
- Design, develop, and maintain scalable data pipelines using Apache Spark, PySpark, and/or Scala.
- Build and optimize batch and distributed data processing workflows on GCP.
- Work extensively with BigQuery for data transformation, validation, analytics, and query optimization.
- Develop and maintain data workflows using GCP services, including Dataproc, BigQuery, and Cloud Storage.
- Design end-to-end data pipeline architectures with a focus on scalability, reliability, and performance.
- Write and optimize complex SQL queries for large-scale datasets.
- Troubleshoot and resolve data processing issues, pipeline failures, and performance bottlenecks.
- Implement CI/CD practices for data engineering workflows, testing, and deployments.
- Monitor pipeline performance and identify opportunities for continuous improvement.
- Collaborate with cross-functional teams to understand requirements and deliver reliable data solutions.
- Participate in code reviews, testing, production deployments, and production support.
Mandatory Skills :
- Strong hands-on experience with Apache Spark, including PySpark and/or Scala.
- Strong SQL skills and experience working with large-scale datasets.
- Hands-on experience with Google Cloud Platform (GCP).
- Practical experience with BigQuery and data warehousing concepts.
- Working knowledge of GCP Dataproc.
- Strong understanding of data pipelines, end-to-end workflows, and system design.
- Practical experience with CI/CD and deployment processes.
- Excellent debugging, troubleshooting, and problem-solving skills.
Preferred Skills :
- Experience with Apache Airflow, Google Cloud Composer, or similar orchestration tools.
- Knowledge of Kafka or other streaming and messaging technologies.
- Proficiency in Python for data engineering and automation.
- Experience with Git-based development workflows.
- Knowledge of Linux/Unix environments and shell scripting.
- Familiarity with monitoring, logging, data quality, and governance practices.
Required Qualifications :
- 5 to 8 years of experience in Data Engineering, Big Data Engineering, or a related field.
- Proven experience developing and maintaining scalable data pipelines.
- Strong understanding of distributed data processing and cloud-based data architecture.
- Ability to troubleshoot complex technical issues and optimize pipeline performance.
- Strong communication, collaboration, and ownership skills.
Interview Process :
Round 1 : AI-Based Interview
- Candidates must complete the AI interview as soon as possible after receiving the invitation.
Round 2 : Virtual Interview Drive
- Interviews are planned for the upcoming drive; exact dates will be communicated separately.
Round 3 : Online Client Interview
- Shortlisted candidates will attend the online interview.
- Candidates must be available throughout the day on the scheduled interview date.
PythonScala🚨 HIRING | Data Engineer – Amazon EMR 🔥
We are looking for experienced Data Engineers with strong hands-on expertise in Amazon EMR, Python, and Scala.
📌 JOB DETAILS:
💼 Experience: 6+ Years
💰 CTC: Up to 30 LPA
📍 Location: Bangalore
🔑 MANDATORY SKILLS:
• Amazon EMR
• Python
• Scala
• Data Engineering
📋 KEY REQUIREMENTS:
• 6+ years of relevant experience in Data Engineering.
• Strong hands-on experience with Amazon EMR.
• Strong programming skills in Python and Scala.
• Experience with large-scale data processing and data engineering solutions.
• Strong problem-solving and communication skills.
📩 Interested candidates can share their updated resumes:
📧 pavithra.e @vysystems. com
📞 8 9 2 5 8 0 2 4 5 7
🔄 Know someone who would be a good fit? Tag them or share this post!
#Hiring #DataEngineer #DataEngineering #AmazonEMR #Python #Scala #AWSJobs #BangaloreJobs #ITJobs #TechHiring #HiringNow
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon