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Overview of Role We are looking for an experienced Databricks data platform engineer to join our specialist team to work on our Data Engineering, Data Science, Geospatial projects, and products. You will use advanced data engineering, Databricks, cloud services, infrastructure as code, Linux stack, data quality and machine learning to build data platform architecture and solution following our data architecture standards and principles. To succeed in this data platform engineering position, you should have strong cloud knowledge, Databricks platform, analytical skills, the ability to combine data from different sources and develop data pipeline using latest libraries and data platform standards. If you are detail-oriented, with excellent organizational skills and experience in this field, wed like to hear from you. Responsibilities Design, develop, and maintain scalable data pipelines and ETL/ELT workflows using Databricks, Google BigQuery, SQL, and cloud-native tools. Build and optimize batch and streaming data pipelines to support analytics, reporting, and business intelligence use cases. Collaborate with business stakeholders, product teams, analytics engineers, and data analysts to gather requirements and deliver data solutions. Develop and manage data models, schemas, and transformations ensuring data quality, integrity, and consistency. Optimize SQL queries, partitioning, clustering, and indexing for performance and cost efficiency. Support BI tools and dashboards by providing clean, reliable, and analytics-ready datasets. Implement and monitor data quality checks, validation rules, and error handling across pipelines. Troubleshoot and resolve data pipeline failures, performance issues, and data inconsistencies across environments (dev, test, prod). Ensure compliance with data governance, data security, access controls, and privacy standards. Work directly with clients and external stakeholders to gather requirements, present deliverables, and manage expectations. Requirements and skills 36 years of experience as a Data Engineer, Analytics Engineer, or ETL Developer. Advanced proficiency in SQL (complex queries, window functions, optimization, performance tuning). Strong hands-on experience with Google BigQuery (partitioning, clustering, cost optimization). Experience building data pipelines using Databricks (Apache Spark, Delta Lake). Solid understanding of ETL/ELT architecture, data warehousing, dimensional modeling, and star/snowflake schemas. Experience with Python and/or Scala for data processing and automation. Familiarity with cloud platforms such as Google Cloud Platform (GCP), Azure, or AWS. Experience with pipeline orchestration tools (Airflow, Databricks Workflows, or similar) preferred. Knowledge of data governance, security, IAM, and compliance frameworks is a plus. Strong client-facing, communication, and problem-solving skills. Ability to work independently in a hybrid or remote work environment. What you can expect from us We appreciate that individual growth is important as well and we support you on every aspect of personal development. Hands-on AWS, Azure, and GCP. Support you on any certification. Build leadership skills. Medical Insurance coverage for self and family. Provident Fund. Interested candidates share your cv to mail - venkat@adarshsolutions.com For regular job updates kindly join our company LinkedIn group. https://www.linkedin.com/groups/14581025/ Apply through Google Form: https://lnkd.in/deEKDswb
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.