{"id":3105233,"url":"https://alion.io/job/tata-consultancy-services-data-engineer-4","title":"Data Engineer","company":{"id":222,"name":"Tata Consultancy Services","domain":"tcs.com","url":"https://alion.io/company/tata-consultancy-services","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":80000,"max_usd":163000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":8},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"IAM","optional":false},{"name":"Spark","optional":false},{"name":"Airflow","optional":true},{"name":"Databricks","optional":true},{"name":"Delta Lake","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-10-22T18:46:55Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-23T03:15:31Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Role: Engineer. Skills: AWS/Amazon. Experience: 10 - 20 Years\nInclusion without\nException\nTata Consultancy Services\n(TCS) is an equal opportunity employer, and embraces diversity in race,\nnationality, ethnicity, gender, age, physical ability, neurodiversity, and\nsexual orientation, to create a workforce that reflects the societies we\noperate in. Our continued commitment to Culture and Diversity is reflected in\nour people stories across our workforce and implemented through equitable\nworkplace policies and processes.\nTata Consultancy Services (BSE:\n532540, NSE: TCS) is the technology partner of choice for industry-leading\norganizations worldwide. Since its inception in 1968, TCS has upheld the\nhighest standards of innovation, engineering excellence and customer service.\nIt has set an aspiration to become the\nworld's largest AI-led technology services company and is enabling its clients\nto transform themselves across the full AI stack, from infrastructure to\nintelligence.\nRooted in the heritage of the Tata\nGroup, TCS is focused on creating long term value for its clients, its\ninvestors, its employees, and the community at large. With a highly skilled\nworkforce spread across 56 countries and 194 service delivery centers across\nthe world, the company has been recognized as a top employer in six continents.\nWith the ability to rapidly apply and scale new technologies, the company has\nbuilt long term partnerships with its clients. Many of these relationships have\nendured into decades and navigated every technology cycle, from mainframes in\nthe 1970s to artificial intelligence today.\nRole and\nResponsibilities\nStrong data warehouse technical knowledge.\nStrong banking and financial services domainexperience with demonstrated expertise in data warehouse and cloud data\nplatform implementations.\n\nDesign, develop, and maintain scalable datapipelines and workflows on AWS.\n\nBuild and manage data lakes and datawarehouses (e.g., Amazon S3, Amazon Redshift).\n\nDevelop ETL/ELT processes using tools such asAWS Glue, AWS Lambda, or Apache Spark.\n\nStrong solution knowledge in AWS Cloud andhands-on experience with ETL processes, including Kafka message\nprocessing, batch interface data ingestion, and other busi ness-layer\nprocesses.\n\nOptimize data ingestion, transformation, andloading processes.\n\nWork with stakeholders to understand anddeliver data requirements.\n\nEnsure data quality, governance, and securitycompliance.\n\nMonitor and troubleshoot data pipelines andworkflows.\n\nAutomate deployments using CI/CD pipelines.\nImprove performance, cost optimization, andscalability.\n\nCoordinate with clients, data users, and keystakeholders to understand feature requirements and merge them into\nreusable design patterns.\n\nSupport data onboarding using developedframeworks.\n\nAnalyze and understand existing IBM Netezzacode to design and implement equivalent capabilities within an AWS Data\nLake environment.\n\nPerform unit testing and support QA, SIT, andperformance testing activities.\n\nSupport migration activities to the productionenvironment.\n\nMust-Have\nSkills and Experience\nAmazon S3 (Data Lake)\nAWS Glue (ETL)\nAWS Lambda\nAmazon Redshift\nAWS Step Functions\nAWS IAM & CloudWatch\nIBM Netezza\nGood-to-Have\nSkills\nAWS Certifications (Solutions Architect and/orData Analytics)\n\nExperience with Apache Airflow or ManagedWorkflows for Apache Airflow (MWAA)\n\nExposure to Snowflake, Databricks, or DeltaLake\n\nTCS does not use artificial\nintelligence tools for candidate screening or evaluation. This post is for a\ncurrent vacancy. The hiring process includes an initial screening, followed by\na technical evaluation and managerial discussion.\nTata Consultancy Services Canada Inc. is\ncommitted to meeting the accessibility needs of all individuals in accordance\nwith the Accessibility for Ontarians with Disabilities Act (AODA) and the\nOntario Human Rights Code (OHRC). Should you require accommodation during the\nrecruitment and selection process, please inform Human Resources.\nThank you for your interest in TCS.\nCandidates that meet the qualifications for this position will be contacted\nwithin a 2-week period. 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