Software Engineer - Python at e6data · Bengaluru (Bangalore) · 2 - 5 years · $20K - $40K / yr (ESOP available) · Raised funding · Posted 10 May 2022
Django
Python
MongoDB
Amazon Web Services (AWS)
RedisWho We are
At e6data (https://e6x.io/">https://e6data.io) we’re building core algorithms that makes querying 25 - 200X more performant (i.e. faster and/or cheaper) than every other analytics platform in the world. This results in billions of dollars of value unlocked across faster analytics, savings on compute / infra, and new use cases becoming possible.
Our core team has 100+ years of combined experience and 10+ patents across diverse but complementary disciplines like real time databases, time series databases, SQL OLAP engines, distributed computing platforms, stream processing, and log analytics. Two of the founding team are second time founders with past exits.
We are passionate about solving the deepest and most important problems in computer science, and believe in making our technology available to customers regardless of their location, size, or budget. Our vision is for e6data to power every analytical workload in the world - regardless of deployment scenario (cloud, on-premise, edge), across every use case (end user queries, ETL / data pipelines), and every latency requirement (batch, streaming / real time).
What you'll do?
- Write awesome code
- The focus will be on performance of our data platform
- Identify tactical and long-term product improvements (could be code, script, etc.)
- Responsible for Planning and executing Metadata and Governance tool supports
- Build our internal Data Platform using exdata
- Adding scalable functionality to the system for new features like UDF's, sql functions etc
What are we looking for?
- Worked with Python for a minimum of 2 years
- Well versed with Django REST framework
- Knowledge of document based data stores like MongoDB
- Strong team player
- A passion for continuous learning and growth (both at a personal and team level)
- Experience (or enjoys) working in a startup will be an added advantage
Shubham Vishwakarma
Full Stack Developer - Averlon
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PythonJob Summary
We are seeking a skilled Python Developer with experience in building scalable applications using Python frameworks such as Flask and Django. The ideal candidate should have hands-on experience with PySpark for big data processing and strong SQL skills for data analysis and database management.
Key Responsibilities
- Design, develop, test, and maintain Python-based applications.
- Develop RESTful APIs using Flask and/or Django.
- Build scalable data processing pipelines using PySpark.
- Write efficient SQL queries, stored procedures, and optimize database performance.
- Integrate applications with databases and third-party services.
- Collaborate with cross-functional teams to gather and implement business requirements.
- Troubleshoot, debug, and enhance application performance.
- Follow coding standards, perform code reviews, and maintain technical documentation.
Required Skills
- Strong proficiency in Python.
- Hands-on experience with Flask and/or Django.
- Experience with PySpark for large-scale data processing.
- Strong knowledge of SQL (writing complex queries, joins, indexing, optimization).
- Understanding of REST APIs and microservices architecture.
- Experience with Git/version control.
- Knowledge of relational databases such as PostgreSQL, MySQL, SQL Server, or Oracle.
- Good problem-solving and analytical skills.
Preferred Skills
- Experience with cloud platforms (AWS, Azure, or GCP).
- Familiarity with Docker and Kubernetes.
- Knowledge of CI/CD pipelines.
- Experience with Airflow or other workflow orchestration tools.
- Understanding of Agile/Scrum methodologies.
PythonWe are looking for a skilled Python & PySpark Developer with strong expertise in Big Data technologies, Spark, SQL/PL-SQL, and REST API development using Flask or Django. The ideal candidate should have experience building scalable data pipelines, processing large datasets, developing APIs, and working with distributed computing frameworks.
Key Responsibilities
- Develop, optimize, and maintain scalable data pipelines using PySpark and Apache Spark.
- Design, develop, and optimize complex SQL and PL/SQL queries, stored procedures, functions, and database objects.
- Build and maintain RESTful APIs using Flask or Django.
- Develop robust Python applications for data engineering and backend services.
- Process and analyze large-scale datasets using Big Data technologies.
- Optimize Spark jobs for performance, scalability, and reliability.
- Integrate APIs with internal and external systems.
- Collaborate with cross-functional teams including Data Engineers, Data Scientists, and Application Developers.
- Troubleshoot production issues and implement performance improvements.
- Follow coding standards, version control, and CI/CD best practices.
Mandatory Skills
- Strong proficiency in Python programming.
- Hands-on experience with PySpark and Apache Spark.
- Strong SQL coding skills.
- Experience with PL/SQL development.
- Experience in Big Data ecosystem.
- REST API development using Flask or Django.
- Experience in developing and consuming Python APIs.
- Knowledge of data processing, ETL, and distributed computing.
- Experience with Git/version control.
Preferred Skills
- Experience with Hadoop ecosystem (Hive, HDFS, YARN).
- Exposure to cloud platforms such as AWS, Azure, or GCP.
- Knowledge of Airflow or other workflow orchestration tools.
- Experience with Docker and Kubernetes.
- Familiarity with Kafka or other streaming technologies.
- Understanding of CI/CD pipelines.
Qualifications
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- 4–8+ years of experience in Python and Big Data development (can be adjusted based on the role).
Required Experience
- Strong hands-on experience in Python, PySpark, and Apache Spark.
- Extensive experience writing optimized SQL and PL/SQL code.
- Experience developing REST APIs using Flask or Django.
- Experience working with large-scale data processing and ETL pipelines.
- Strong analytical, debugging, and problem-solving skills.
Mandatory Skills: Python, PySpark, SQL Coding, Apache Spark, Big Data, Flask/Django (REST API), PL/SQL, Python APIs.
PostgreSQLData Platform Engineer
Design, automate, and scale our data platform — this is an engineering role, not a traditional "DBA job.
Must-have :
- Data modeling & schema design (from first principles, not just maintenance)
- PostgreSQL (deep, hands-on — partitioning, replication, tuning)
- Any distributed NoSQL store (Cassandra, ScyllaDB, or similar wide-column/distributed DB) (real production experience)
- Python (automation & tooling, not just scripting)
- DevOps & CI/CD (building pipelines, not just using them)
- Terraform (infrastructure-as-code)
You'll:
- Design schemas, partitioning strategies, and lead the Postgres → Cassandra migration end-to-end
- Own PostgreSQL performance, replication, and zero-downtime schema changes
- Build Python-based automation to eliminate repetitive DB work
- Own CI/CD pipelines and Terraform-based infra provisioning
- Drive uptime, DR, monitoring, and incident response
- Own multi-tenant security (RLS, least-privilege access) and data governance
Experience: 4–9 years, data/database/platform engineering in demanding production environments.
Bonus: Kafka/Debezium (CDC), Redis, Flyway/Liquibase, GDPR/DPDP exposure.
Python1st virtual , 2nd round F2F
Python pyspark, SQL, data engineer
5+yrs
9+yrs
Bangalore/Hyderabad
immediate to 15days.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon