Data Engineer

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1. Think bigger

   – because you have the time, opportunity, and support it takes to dig deeper and tackle larger issues.

2. Move faster

   – because you’ll be working with experienced, helpful teams who can guide you through challenges, quickly resolve issues, and show you new ways to get things done.

3. Go further

   – because you have the opportunity to grow professionally, add new skills, and take on new responsibilities in an organization that takes a long-term view of every relationship.

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Outcomes, Quality, Ownership, Accountability, and Communication

Experience Level:

Role Overview:

We are seeking a motivated and detail-oriented Data Engineer with 2–4 years of experience to join our team. In this role, you will design, build, and maintain efficient data pipelines and infrastructure to support analytics, reporting, and application needs. You will collaborate with data scientists, analysts, and product teams to ensure smooth data integration from multiple sources into modern cloud-based platforms. The ideal candidate is a strong problem solver with solid Python and SQL expertise, practical experience in ETL/ELT processes, and familiarity with cloud data services.

What You'll Do

Data Pipeline Development

• Build and manage

  data pipelines

  that automate data ingestion from varied sources (flat files, relational databases, APIs, web scraping).
• Implement and support

  workflow orchestration

  with tools such as

  Apache Airflow, DBT, or Cloud Data Factories

  .
• Enable seamless data transfer to

  Firestore, Supabase, or relational databases

  .

Data Management

• Develop and maintain

  ETL/ELT workflows

  for extracting, transforming, and loading data.
• Work with both

  relational databases (PostgreSQL, MySQL)

  and

  NoSQL databases (MongoDB, Cassandra)

  .
• Apply best practices for

  data quality, validation, and governance

  .

Programming & Scripting

• Use

  Python

  (Pandas, NumPy) for data manipulation, automation, and pipeline development.
• Write and optimize

  SQL

  queries for joins, filtering, aggregation, and performance tuning.

Cloud Platforms

• Gain hands-on experience with

  AWS, GCP, or Azure

  for data storage, processing, and analytics.
• Support the design and maintenance of

  cloud-native data solutions

  .

Monitoring & Troubleshooting

• Monitor pipeline health, logging, and performance.
• Troubleshoot issues, perform root cause analysis, and optimize performance where needed.

Collaboration & Documentation

• Work with cross-functional teams (analytics, product, data science) to deliver data solutions.
• Document data flows, pipeline architecture, and standard operating procedures.
• Stay updated with best practices and emerging data engineering tools.

What We're Looking For

Must have technical skills

• Bachelor's degree in computer science, Engineering, or equivalent practical experience.
• Proficiency in Python (Pandas, NumPy) and SQL (JOIN, GROUP BY, optimization).
• Hands-on experience with ETL/ELT workflows and pipeline tools (Airflow, DBT, Cloud Data Factories).
• Experience with relational databases (PostgreSQL, MySQL) and familiarity with NoSQL systems (MongoDB, Cassandra).
• Exposure to cloud platforms (AWS, GCP, Azure) for data services.
• Strong analytical, problem-solving, and troubleshooting skills.
• Effective communication and collaboration abilities.

Benefits;

What We Offer

• Dedicated Learning & Development Budget: Fuel your growth with a budget dedicated solely to learning.
• Cutting-Edge Projects: Work on exciting projects with the latest technologies

• Employee-Friendly Leave Policy: Recharge with ample leave options designed for a healthy work-life balance.

Work Environment

• Leave & Time-off – All leaves taken are paid leaves. And all the leave and time off are likely pre-approved leaves intended for planned vacations, personal commitments, or any other needs requiring prior approval.
• Comprehensive Medical & Term Insurance: Full coverage for you and your family peace of mind.
• We organize city-wise, company-sponsored local meetups—fun-filled day outings with your colleagues!
• At

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  bridge, you get reimbursed for approved certifications and short courses that support your role.
• We embrace diversity and ensure equal opportunity for everyone, fostering an inclusive workplace where all voices are valued.

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