{"id":1292978,"url":"https://alion.io/job/natobotics-quality-engineering-analystlead","title":"Quality Engineering Analyst/Lead","company":{"id":3800854,"name":"Natobotics","domain":"natobotics.com","url":"https://alion.io/company/natobotics","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"lead","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India","Pune, India","Chandigarh, India","Hyderabad, India","Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":18500,"max_usd":42000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":374},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"Airflow","optional":true},{"name":"Amazon Redshift","optional":true},{"name":"Apache Kafka","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Azure Data Factory","optional":true},{"name":"BigQuery","optional":true},{"name":"Databricks","optional":true},{"name":"DataStage","optional":true},{"name":"Dimensional Modeling","optional":true},{"name":"GCP","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Hadoop","optional":true},{"name":"Informatica","optional":true},{"name":"MicroStrategy","optional":true},{"name":"Oracle","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Power BI","optional":true},{"name":"Snowflake","optional":true},{"name":"Spark","optional":true},{"name":"SSIS","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-08-10T10:22:52Z","employer_posted_date":null,"last_verified_at":"2026-08-10T10:22:52Z","board_verified":false,"closed_at":null,"days_open":52,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":52},"description":"Must have skills : ETL, SQL, Python, Spark\n\nDesirable skills : Big Data Tech Stacks\n\nInfosys role : Quality Engineering Analyst, Quality Engineering Lead\n\nDesired experience range : 4-8 years\n\nLocation(s) where this position can work out of : Bangalore, Chennai, Pune, Chandigarh, Hyderabad\n\nDoes this position require working from client office all or some days in the week? : No\n\nIs remote working allowed : Yes (Hybrid model)\n\nResponsibilities :\n\n- Hands-on experience in ETL Testing, Data Warehouse Testing, and Data Migration Testing.\n\n- Strong expertise in SparkSQL and database validation across Oracle, SQL Server, PostgreSQL, Snowflake, AWS Redshift, or BigQuery.\n\n- Validate source-to-target mappings, transformation rules, data lineage, and business logic as per mapping documents.\n\n- Experience in Python-based ETL test automation.\n\n- Perform data reconciliation, completeness checks, referential integrity, duplicate detection, and data quality validations.\n\n- Experience in ETL tools such as Informatica, Ab Initio, ODI, SSIS, DataStage, Azure Data Factory, or Databricks.\n\n- Strong understanding of Data Warehousing concepts including Facts, Dimensions, Star Schema, and SCD validations.\n\n- 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.\n\n- 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.\n\n- Experience validating cloud-based data platforms on AWS, Azure, Databricks, Snowflake, or GCP.\n\n- Hands-on experience with batch job validation, workflow monitoring, and scheduling tools such as Autosys, Control-M, or Airflow.\n\n- Develop automation solutions using Python/Shell scripting for ETL and data validation activities.\n\n- Implement test strategies, prepare and execute test cases, analyze results, and coordinate defect resolution to ensure data quality.\n\n- Collaborate with business, development, and data engineering teams to ensure accurate and reliable data delivery.\n\n- Maintain detailed documentation of test scenarios, SQL validations, automation assets, and testing processes.\n\nNice to Have Skills :\n\n- Experience in BI Reporting validation using Power BI, Tableau, Qlik, or MicroStrategy.\n\n- Experience in Big Data technologies such as Hadoop, Spark, Hive, and Kafka.\n\n- Knowledge of AI-enabled Data Quality and Data Governance solutions.\n\n- Banking, Capital Markets, Wealth Management, or Mortgage domain experience.\n\nYour Contribution to the Team :\n\n- Strong analytical and problem-solving skills.\n\n- Ability to understand complex business transformations and convert them into comprehensive test scenarios.\n\n- Passion for ensuring data accuracy, integrity, and compliance.\n\n- Proactive approach to identifying data defects and root cause analysis.\n\n- Ability to collaborate effectively with Data Engineers, Architects, Business Analysts, and Product Owners.\n\nRequired/Basic Qualifications :\n\n- Bachelor's degree or foreign equivalent required from an accredited institution.\n\n- At least 4 years of experience in Data/ETL Testing.\n\n- Strong experience in SQL, Data Validation, Data Reconciliation, Python.\n\n- Experience working in Agile delivery environments.\n\nSkills\nETL/Datawarehouse Testing, Software Quality Assurance, Testing, Python, Automation Testing, Test Case Writing, Test Strategy, Big Data Testing","description_format":"text","description_chars":3608,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Energy & Utilities","Information Technology","Security Compliance"],"lifecycle":[{"event":"open","at":"2026-09-26T08:01:01Z"}],"liveness":{"score":7,"band":"cold","label":"Long shot","p_open":0.4,"p_active":0.527,"p_room":0.35,"age_days":51,"expected_fill_days":24,"reasons":["seen:51","win:tail"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/natobotics-quality-engineering-analystlead","json_url":"https://alion.io/job/natobotics-quality-engineering-analystlead.json","meta":{"generated_at":"2026-10-02T03:01:52Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4130,"day_limit":5000,"remaining_today":870,"minute_limit":60,"resets_at":"2026-10-03T00:00:00Z"}}}