{"id":3117283,"url":"https://alion.io/job/ntt-data-tech-consultant-data-engineer","title":"Tech Consultant - Data Engineer","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":"A","score":98,"open_postings":87,"ghost_share":0,"stale_share":0.276,"repost_share":0,"time_to_fill_p50_days":18,"computed_at":"2026-10-26T05:57:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","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":20000,"max_usd":44000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Kinesis","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Amazon Redshift","optional":true},{"name":"AWS Glue","optional":true},{"name":"Azure Data Factory","optional":true},{"name":"dbt","optional":true},{"name":"Dimensional Modeling","optional":true},{"name":"Docker","optional":true},{"name":"Embeddings","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-10-22T07:56:27Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-26T08:33:56Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"India T&M Special Bonus:\nReq ID: 395198\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 Tech Consultant - Data Engineer to join our team in Bangalore, Karnātaka (IN-KA), India (IN).\nJob Title: Technology Consultant - Data Engineer\nRole Summary\nWe are seeking an experienced Data Engineer to design, develop, and maintain scalable enterprise data pipelines and data platforms. The ideal candidate should have strong hands-on expertise in Python, SQL, ETL/ELT, cloud data platforms, and modern Data Engineering technologies.\nThe role will collaborate with Data Architects, Data Scientists, Business Analysts, and application teams to build reliable data ingestion and transformation solutions while ensuring data quality, performance, security, and scalability.\nDay to Day Job Duties\nDesign, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data.\nBuild data ingestion, transformation, and integration solutions across multiple data sources.\nDevelop and optimize complex SQL queries and Python-based data processing solutions.\nBuild and maintain data warehouse, data lake, and Lakehouse solutions.\nDevelop batch and real-time/streaming data pipelines.\nImplement source-to-target mappings and complex data transformation logic.\nPerform data profiling, cleansing, validation, reconciliation, and quality checks.\nOptimize data pipelines for performance, scalability, reliability, and cost efficiency.\nTroubleshoot pipeline failures, data-quality issues, and performance bottlenecks.\nCollaborate with business and technology teams to understand data requirements and translate them into technical solutions.\nImplement data orchestration, scheduling, monitoring, and alerting.\nSupport production data pipelines and perform root cause analysis for critical issues.\nParticipate in code reviews, testing, CI/CD deployments, and production releases.\nMaintain data mappings, lineage, technical designs, and operational documentation.\nBasic Qualifications\n5+ years of experience in Data Engineering, ETL/ELT development, and enterprise data integration.\n4+ years of experience with Python, SQL, data transformation, and large-scale data processing.\n3+ years of experience with AWS, Azure, or Google Cloud-based data services.\n3+ years of experience with Spark/PySpark, Databricks, Snowflake, or similar modern data platforms.\nCore Technical Skills\nProgramming: Python, SQL\nData Processing: Spark, PySpark\nData Platforms: Databricks, Snowflake\nETL/ELT: Data Ingestion, Transformation, Integration\nCloud: AWS, Azure, or GCP\nData Architecture: Data Warehouse, Data Lake, Lakehouse\nOrchestration: Airflow, Databricks Workflows or similar\nStreaming: Kafka, Kinesis, Event Hubs or Pub/Sub\nDevelopment: Git, CI/CD, Automated Testing\nData Quality: Validation, Reconciliation, Profiling & Monitoring\nNice to Have\nExperience with AWS Glue, Azure Data Factory, or Google Cloud Dataflow.\nExperience with Snowflake, Databricks, Redshift, BigQuery, or Azure Synapse.\nStrong knowledge of data modeling and dimensional modeling.\nExperience with CDC, SCD Type 1/2, schema evolution, and incremental data processing.\nExperience developing high-volume streaming pipelines using Kafka or similar technologies.\nKnowledge of dbt and modern ELT development practices.\nExperience implementing data quality and observability frameworks.\nUnderstanding of data governance, lineage, metadata management, and security.\nExperience with Docker and Kubernetes.\nExposure to AI/ML data pipelines, feature engineering, embeddings, or vector data is an advantage.\nExperience working in Banking, Financial Services, Insurance, Healthcare, Retail, or other enterprise environments.\nStrong analytical, troubleshooting, communication, and problem-solving skills.\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":6435,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Hybrid work"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Cybersecurity","Health Care","Information Technology","Data Centers & Colocation"],"lifecycle":[{"event":"open","at":"2026-10-22T22:38:57Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":3,"expected_fill_days":18,"reasons":["conf:1","velocity","win:early","comp:brand"],"computed_at":"2026-10-26T05:57:25Z"},"pay":null,"html_url":"https://alion.io/job/ntt-data-tech-consultant-data-engineer","json_url":"https://alion.io/job/ntt-data-tech-consultant-data-engineer.json","meta":{"generated_at":"2026-10-26T12:32:07Z","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":17226,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-27T00:00:00Z"}},"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-tech-consultant-data-engineer"},{"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-tech-consultant-data-engineer"},{"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-tech-consultant-data-engineer"},{"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-tech-consultant-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fntt-data-tech-consultant-data-engineer"}]}