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Job Title : Senior Data Engineer Locations : Multiple, Bangalore, Chennai, Hyderabad, India Work Arrangement : Remote Work from Home About This Role: We are seeking a talented and experienced Senior Data Engineer to join our data engineering team. You will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure on cloud platforms. This role requires expertise in modern data engineering tools and a strong foundation in data transformation and optimization. Key Responsibilities Design and develop robust, scalable data pipelines using Azure Data Factory (ADF) Build and optimize data processing workflows using Databricks and Apache Spark Implement declarative pipeline solutions using Lakehouse architecture and best practices Write and optimize complex SQL queries for data transformation and analysis Develop PySpark applications for large-scale data processing Collaborate with data scientists, analysts, and stakeholders to understand data requirements Ensure data quality, security, and compliance across all pipelines Monitor, troubleshoot, and optimize data pipeline performance Document technical solutions and maintain best practices documentation Mentor junior team members and contribute to team knowledge sharing What we're Looking For We need a Senior Data Engineer who is: Proficient in building scalable data solutions using Azure and Databricks Skilled in SQL and PySpark for data transformation and processing Capable of implementing declarative, maintainable pipeline architectures Detail-oriented with a focus on data quality and performance optimization Collaborative and able to work effectively with cross-functional teams Proactive in staying current with emerging data engineering technologies and best practices Communicative and able to explain complex technical concepts clearly Required Skills & Experience Must-Have Technical Skills Azure Data Factory (ADF) Proven experience designing and implementing data integration solutions Databricks Hands-on experience with Databricks platform and workspace management Apache Spark Strong expertise in distributed data processing using Spark framework Lakeflow & Declarative Pipelines Experience building declarative, maintainable data pipelines SQL Advanced proficiency in writing optimized SQL queries for complex data transformations PySpark Strong programming skills in PySpark for data processing and ETL operations Additional Desired Qualifications: Experience with cloud platforms (Azure, AWS, or GCP) Knowledge of data warehousing concepts and modern data architecture Familiarity with version control systems (Git) Understanding of CI/CD pipelines and DevOps practices Experience with data quality frameworks and testing methodologies Knowledge of big data technologies and distributed computing Required Experience 5+ years of professional experience in data engineering or related roles 3+ years of hands-on experience with cloud-based data platforms Proven track record of designing and implementing production-grade data pipelines Strong problem-solving skills and attention to detail Education Bachelor's Degree in Computer Science, Engineering, Mathematics or related field OR Related Field or Professional experience Why Join Us Work with cutting-edge data engineering technologies Collaborate with a talented and innovative team Opportunity to build impactful data solutions at scale Professional growth and continuous learning opportunities Competitive compensation and benefits package How to Apply If you meet the above requirements and are excited about this opportunity, please submit your resume, a cover letter, and links to your portfolio or GitHub profile (if available). .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.