Compressor- Sales Application Manager

Strong sponsor acquiring and managing profile

Mandatory (Experience): Must have 2+ years of experience in sponsorship sales, business development, partnerships, or events sales

Mandatory (Skills 1): Must have experience in identifying & acquiring sponsors

Mandatory (Skills 2): Must have experience creating sponsorship decks, proposals, and pitching

Mandatory (Skills 3): Must have handled negotiations and closure of sponsorship deals

Mandatory (Skills 4): Must have managed pre-, during, and post-event sponsor engagement

Mandatory (Skills 5): Must be proficient in powerpoint and excel

Mandatory (Education): Bachelor's degree in Marketing, Business, Communications, or a related field

Mandatory (Note): Must be comfortable in a fast-paced, deadline-driven environment

Senior Data Engineer

Location: Bangalore, Gurugram (Hybrid)

Experience: 4-8 Years

Type: Full Time | Permanent

Job Summary:

We are looking for a results-driven Senior Data Engineer to join our engineering team. The ideal candidate will have hands-on expertise in data pipeline development, cloud infrastructure, and BI support, with a strong command of modern data stacks. You’ll be responsible for building scalable ETL/ELT workflows, managing data lakes and marts, and enabling seamless data delivery to analytics and business intelligence teams.

This role requires deep technical know-how in PostgreSQL, Python scripting, Apache Airflow, AWS or other cloud environments, and a working knowledge of modern data and BI tools.

Key Responsibilities:

PostgreSQL & Data Modeling

· Design and optimize complex SQL queries, stored procedures, and indexes

· Perform performance tuning and query plan analysis

· Contribute to schema design and data normalization

Data Migration & Transformation

· Migrate data from multiple sources to cloud or ODS platforms

· Design schema mapping and implement transformation logic

· Ensure consistency, integrity, and accuracy in migrated data

Python Scripting for Data Engineering

· Build automation scripts for data ingestion, cleansing, and transformation

· Handle file formats (JSON, CSV, XML), REST APIs, cloud SDKs (e.g., Boto3)

· Maintain reusable script modules for operational pipelines

Data Orchestration with Apache Airflow

· Develop and manage DAGs for batch/stream workflows

· Implement retries, task dependencies, notifications, and failure handling

· Integrate Airflow with cloud services, data lakes, and data warehouses

Cloud Platforms (AWS / Azure / GCP)

· Manage data storage (S3, GCS, Blob), compute services, and data pipelines

· Set up permissions, IAM roles, encryption, and logging for security

· Monitor and optimize cost and performance of cloud-based data operations

Data Marts & Analytics Layer

· Design and manage data marts using dimensional models

· Build star/snowflake schemas to support BI and self-serve analytics

· Enable incremental load strategies and partitioning

Modern Data Stack Integration

· Work with tools like DBT, Fivetran, Redshift, Snowflake, BigQuery, or Kafka

· Support modular pipeline design and metadata-driven frameworks

· Ensure high availability and scalability of the stack

BI & Reporting Tools (Power BI / Superset / Supertech)

· Collaborate with BI teams to design datasets and optimize queries

· Support development of dashboards and reporting layers

· Manage access, data refreshes, and performance for BI tools

Required Skills & Qualifications:

· 4–6 years of hands-on experience in data engineering roles

· Strong SQL skills in PostgreSQL (tuning, complex joins, procedures)

· Advanced Python scripting skills for automation and ETL

· Proven experience with Apache Airflow (custom DAGs, error handling)

· Solid understanding of cloud architecture (especially AWS)

· Experience with data marts and dimensional data modeling

· Exposure to modern data stack tools (DBT, Kafka, Snowflake, etc.)

· Familiarity with BI tools like Power BI, Apache Superset, or Supertech BI

· Version control (Git) and CI/CD pipeline knowledge is a plus

· Excellent problem-solving and communication skills

Experience 8+ Yrs.

Bangalore work from office

1. Bachelor's degree or above, computer or related major, more than 5 years of Java EE development experience.

2. Have a solid foundation in JAVA, have strong OOP and OOD development ideas, and be familiar with various design patterns. Have strong coding skills, have business design experience, and be able to solve more complex technical problems.

3. Proficient in using mainstream JAVA open-source frameworks, such as Spring, Spring boot, Spring cloud, myBatis, etc.

4. Familiar with MySql, capable of database design and optimization, familiar with redis caching technology, familiar with message middleware, and ElasticSearch.

5. Familiar with distributed development and application scenarios of distributed components

6. Have some experience in concurrent processing and be familiar with performance optimization

7. Have strong learning ability, communication ability, teamwork ability and independent problem-solving ability, high sense of responsibility, and be able to withstand greater work pressure. Able to guide junior engineers and specialists to complete simple business development work.

Note: Kindly apply only if your open to Work from Office Bangalore and available to join immediate to 10 days.

Interested candidates connect @Bhavani P on the LinkedIn

or message your number/ id on the cut short chat.

You'll be trained first on content writing through online meets. After that, you'll be required to do the assigned tasks.

• Day-to-day tasks will be given
• Remote work
• Flexible timings
• Duration - 2 months
• Earning opportunities will be introduced
• Certificate and Letter Of Recommendation on completion

• Has led engineering teams before with full-stack developers preferably and can contribute to building the team as per requirement
• Lead the team to plan, deign and build solutions
• Work closely with the founders to decide the direction of the product
• Have experience redefining the MSME sector
• Have worked on digitizing the supply side of the organization
• Have an experience of 6-8 years in the industry
• Preferable SaaS experience with a B2B set up

Technologies & Languages

• Azure
  • Databricks
  • SQL Sever
  • ADF
• Snowflake
  • Data Cleaning
  • ETL
• Azure Devops
• Intermediate Python/Pyspark
• Intermediate SQL
• Beginners' knowledge/willingness to learn Spotfire
• Data Ingestion
• Familiarity with CI/CD or Agile

Must have:

• Azure – VM, Data Lake, Data Bricks, Data Factory, Azure DevOps
• Python/Spark (PySpark) 
• SQL

Good to have:

• Docker
• Kubernetes
• Scala

He/she should have a good understanding in:

• How to build pipelines – ETL and Injection
• Data Warehousing
• Monitoring

Responsibilities:

Must be able to write quality code and build secure, highly available systems.

Assemble large, complex data sets that meet functional / non-functional business requirements.

Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc with the guidance.

Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

Monitoring performance and advising any necessary infrastructure changes.

Defining data retention policies.

Implementing the ETL process and optimal data pipeline architecture

Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.

Create design documents that describe the functionality, capacity, architecture, and process.

Develop, test, and implement data solutions based on finalized design documents.

Work with data and analytics experts to strive for greater functionality in our data systems.

Proactively identify potential production issues and recommend and implement solutions