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Role: Data Engineer Experience: 5 Year Location: Noida / Bangalore / Chennai Job Description; GCP Bigquery, Data integration ( ETL/ELT. API integration) , Very strong SQL skills, Good to have Python and STRIIM and ETL/ELT design, Metadata driven ETL and DQ experience needs experience with Orchestration - Google Cloud composer and good to gave google Dataplex exposure for governance control Data Analysis & Profiling Perform detailed analysis of legacy systems. Conduct data profiling to identify: Data quality issues Duplicates Missing records Invalid relationships Data inconsistencies Assess source-to-target data mappings. Collaborate with business teams to define data cleansing rules. Data Mapping & Transformation Prepare Source-to-Target Mapping (STM) documents. Map legacy data structures to Siebel data entities such as: Accounts Contacts Opportunities Assets Products Orders Service Requests Activities Define business transformation rules. Implement data standardization and enrichment processes ETL Development & Migration Execution Design and develop ETL processes for migration. Build reusable migration components and frameworks. Perform: Data Extraction Data Cleansing Data Transformation Data Loading Execute trial migrations and production migrations. Optimize migration performance for large datasets. Data Quality & Reconciliation Establish data quality controls and validation checks. Develop reconciliation reports to validate: Record counts Data completeness Data accuracy Referential integrity Investigate and resolve migration discrepancies. Ensure sign-off criteria are achieved. Testing & Defect Resolution Support SIT, UAT, mock migration, and production migration cycles. Collaborate with QA teams to resolve migration-related defects. Conduct post-migration validations. Support business verification and acceptance activities. Governance & Documentation Create and maintain: Data Migration Strategy Data Mapping Documents Data Migration Design Documents Reconciliation Reports Cutover Plans Migration Runbooks Participate in governance reviews and project audits. Ensure compliance with data governance standards .
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.
