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Must have skills : ETL, SQL, Python, SparkDesirable skills : Big Data Tech StacksInfosys role : Quality Engineering Analyst, Quality Engineering LeadDesired experience range : 4-8 yearsLocation(s) where this position can work out of : Bangalore, Chennai, Pune, Chandigarh, HyderabadDoes this position require working from client office all or some days in the week : NoIs remote working allowed : Yes (Hybrid model)Responsibilities :- Hands-on experience in ETL Testing, Data Warehouse Testing, and Data Migration Testing.- Strong expertise in SparkSQL and database validation across Oracle, SQL Server, PostgreSQL, Snowflake, AWS Redshift, or BigQuery.- Validate source-to-target mappings, transformation rules, data lineage, and business logic as per mapping documents.- Experience in Python-based ETL test automation.- Perform data reconciliation, completeness checks, referential integrity, duplicate detection, and data quality validations.- Experience in ETL tools such as Informatica, Ab Initio, ODI, SSIS, DataStage, Azure Data Factory, or Databricks.- Strong understanding of Data Warehousing concepts including Facts, Dimensions, Star Schema, and SCD validations.- Experience designing and implementing Spark-based Data Validation frameworks to validate large-scale financial data across batch and ETL pipelines, ensuring data quality, completeness, accuracy, and consistency throughout the project lifecycle.- Experience developing automated data quality controls and validation test suites using Apache Spark, including reconciliation, schema validation, data profiling, and exception handling for high-volume financial datasets.- Experience validating cloud-based data platforms on AWS, Azure, Databricks, Snowflake, or GCP.- Hands-on experience with batch job validation, workflow monitoring, and scheduling tools such as Autosys, Control-M, or Airflow.- Develop automation solutions using Python/Shell scripting for ETL and data validation activities.- Implement test strategies, prepare and execute test cases, analyze results, and coordinate defect resolution to ensure data quality.- Collaborate with business, development, and data engineering teams to ensure accurate and reliable data delivery.- Maintain detailed documentation of test scenarios, SQL validations, automation assets, and testing processes.Nice to Have Skills :- Experience in BI Reporting validation using Power BI, Tableau, Qlik, or MicroStrategy.- Experience in Big Data technologies such as Hadoop, Spark, Hive, and Kafka.- Knowledge of AI-enabled Data Quality and Data Governance solutions.- Banking, Capital Markets, Wealth Management, or Mortgage domain experience.Your Contribution to the Team :- Strong analytical and problem-solving skills.- Ability to understand complex business transformations and convert them into comprehensive test scenarios.- Passion for ensuring data accuracy, integrity, and compliance.- Proactive approach to identifying data defects and root cause analysis.- Ability to collaborate effectively with Data Engineers, Architects, Business Analysts, and Product Owners.Required/Basic Qualifications :- Bachelor's degree or foreign equivalent required from an accredited institution.- At least 4 years of experience in Data/ETL Testing.- Strong experience in SQL, Data Validation, Data Reconciliation, Python.- Experience working in Agile delivery environments. (ref:hirist.tech) .
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.