{"id":2669787,"url":"https://alion.io/job/ntt-data-data-platform-modernization-engineer-junior-databricks","title":"Data Platform Modernization Engineer - Junior (Databricks)","company":{"id":50348,"name":"NTT DATA","domain":"nttdata.com","url":"https://alion.io/company/ntt-data","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":{"grade":"B","score":75,"open_postings":26,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":25,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":15500,"max_usd":36000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":12},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Informatica","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"SSIS","optional":false},{"name":"Amazon Redshift","optional":true},{"name":"Amazon S3","optional":true},{"name":"AWS Lambda","optional":true},{"name":"CI/CD","optional":true}],"status":"live","first_seen_at":"2026-10-08T00:00:00Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-17T02:22:31Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"India T&M Special Bonus:\nReq ID: 392928\nNTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.\nWe are currently seeking a Data Platform Modernization Engineer - Junior (Databricks) to join our team in Bangalore, Karnātaka (IN-KA), India (IN).\nWe are seeking a hands-on Data Engineer / Developer with 3-6 years of experience to support an enterprise data platform modernization initiative. The role will focus on migrating legacy Informatica PowerCenter and AWS Glue workloads to Databricks and developing scalable, reliable data pipelines using established migration patterns and common frameworks.\nThe ideal candidate should have strong hands-on development skills in PySpark, Python, SQL and Databricks, with experience in ETL development, data transformation, testing and troubleshooting.\nDay-to-Day Job Duties\nAnalyze existing Informatica workflows, mappings and AWS Glue jobs to understand source-to-target mappings and transformation logic.\nDevelop Databricks notebooks and data pipelines to migrate existing ETL workloads to the Databricks Lakehouse.\nDevelop data transformations using Python, PySpark, Spark SQL and Databricks SQL.\nImplement Bronze, Silver and Gold layer processing following established project architecture and coding patterns.\nDevelop batch and incremental processing pipelines using Delta Lake and established watermark/control mechanisms.\nDevelop and maintain Databricks Jobs/Workflows and Lakeflow Declarative Pipelines as required.\nReuse common project frameworks for logging, auditing, data quality, error handling and notifications.\nConvert Informatica transformations, mappings, lookups and business rules into equivalent Databricks implementations while preserving existing business logic.\nSupport migration of AWS Glue jobs and database-based processing into Databricks.\nPerform unit testing and source-to-target data reconciliation for migrated pipelines.\nInvestigate and resolve data, SQL, PySpark and pipeline execution issues.\nSupport integration testing, regression testing, UAT and production validation.\nWork with senior developers and technical leads to resolve technical issues and dependencies.\nFollow established coding, performance, security and development standards.\nParticipate in code reviews and incorporate review feedback.\nPrepare technical documentation and support knowledge transfer for migrated workloads.\nSupport deployment, monitoring, production stabilization and cutover activities.\nBasic Qualifications\n3-6 years of experience in data engineering, ETL development or application/data platform development.\nHands-on experience with Databricks and Apache Spark.\nStrong development skills in Python/PySpark and SQL.\nExperience with:Databricks notebooks\nSpark SQL / Databricks SQL\nDelta Lake\nDatabricks Jobs/Workflows\n\nExperience developing batch or incremental ETL/ELT pipelines.\nExperience with one or more ETL technologies such as Informatica PowerCenter, AWS Glue, SSIS or similar.\nExperience working with relational databases and SQL-based data processing.\nUnderstanding of data transformation, source-to-target mapping and ETL development.\nExperience with unit testing, data validation and troubleshooting.\nBasic understanding of Bronze/Silver/Gold or other layered data architectures.\nAbility to work within an established development framework and follow coding standards.\nGood analytical, problem-solving and communication skills.\nBachelor's degree in Computer Science, Information Technology, Engineering or equivalent experience.\nNice to Have\nDatabricks certification.\nExperience with Lakeflow Declarative Pipelines / Delta Live Tables.\nExperience with Unity Catalog.\nExperience with Databricks Asset Bundles and CI/CD.\nExperience with AWS S3, Glue and Redshift.\nExperience with Auto Loader or streaming ingestion.\nExperience with CDC and SCD Type 1 / Type 2 processing.\nExperience with data quality, audit and error-handling frameworks.\nExperience with Informatica PowerCenter mappings/workflows.\nExperience with AWS services including S3, Glue, Lambda and Redshift.\nExperience with Spark/Delta performance optimization.\nExperience working in a cloud data modernization or migration project.\nAbout NTT DATA\nNTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.\nWhenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.\nNTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.","description_format":"text","description_chars":6825,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Hybrid work"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Data Centers & Colocation","Financial Software & Embedded Finance","IT Consulting & Digital Transformation","Managed IT Services (MSP)"],"lifecycle":[{"event":"open","at":"2026-10-16T04:02:34Z"}],"visa":[],"liveness":{"score":61,"band":"ok","label":"Likely open","p_open":1,"p_active":0.605,"p_room":1,"age_days":8,"expected_fill_days":25,"reasons":["conf:1","stale_co","velocity","win:early","comp:junior,brand"],"computed_at":"2026-10-16T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/ntt-data-data-platform-modernization-engineer-junior-databricks","json_url":"https://alion.io/job/ntt-data-data-platform-modernization-engineer-junior-databricks.json","meta":{"generated_at":"2026-10-17T03:28:58Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":4504,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":50348},"rest":"https://alion.io/mcp/rest/get_company?id=50348"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fntt-data-data-platform-modernization-engineer-junior-databricks"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fntt-data-data-platform-modernization-engineer-junior-databricks"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fntt-data-data-platform-modernization-engineer-junior-databricks"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/ntt-data-data-platform-modernization-engineer-junior-databricks\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fntt-data-data-platform-modernization-engineer-junior-databricks"}]}