{"id":3900031,"url":"https://alion.io/job/neogencode-technologies-pvt-ltd-aws-data-engineer-data-lake-engineer","title":"AWS Data Engineer / Data Lake Engineer","company":{"id":3798318,"name":"NeoGenCode Technologies Pvt Ltd","domain":"neogencode.com","url":"https://alion.io/company/neogencode-technologies-pvt-ltd","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":300000,"max":1000000,"currency":"INR","period":"year","gross":true,"usd_annual":10766},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GraphQL","optional":false},{"name":"IAM","optional":false},{"name":"PostgreSQL","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Amazon Aurora","optional":true},{"name":"Apache Iceberg","optional":true},{"name":"Apache Kafka","optional":true},{"name":"API Gateway","optional":true},{"name":"AWS Glue","optional":true},{"name":"Delta Lake","optional":true}],"status":"live","first_seen_at":"2026-11-06T08:42:25Z","employer_posted_date":null,"last_verified_at":"2026-11-06T08:42:25Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"Job Title : AWS Data Engineer / Data Lake Engineer\nExperience : 2 to 4 Years\nLocation : Gurugram Sector 43\nWork Mode : 5 Days WFO\nEmployment Type : Full-Time\n\nAbout the Role :\nWe are looking for a skilled AWS Data Engineer with 2 to 4 years of experience in designing, developing, and maintaining data pipelines and cloud-based data platforms.\nThe candidate will work on an enterprise AWS Data Lake platform that collects data from multiple business systems, processes large datasets, and makes them available for analytics, reporting, and application development.\nThe ideal candidate should have strong hands-on experience with AWS data services, Python, PySpark, SQL, and Apache Airflow, along with an understanding of data warehousing and API-based data serving.\n\nMandatory skills :\nAWS Data Lake, S3, EMR, Glue, Athena, Redshift, Lambda, RDS, DMS, IAM, Python, PySpark, Apache Airflow, Advanced SQL, ETL / ELT Pipelines, Data Modeling, PostgreSQL, Production Support.\n\nKey Responsibilities :\nDevelop, maintain, and optimize data ingestion and ETL / ELT pipelines on AWS.\nWork with AWS services such as S3, Glue, EMR, Athena, Redshift, Lambda, RDS, and DMS.\nBuild and manage data processing workflows using Python, PySpark, and Apache Airflow.\nImplement data lake architecture with staging, curated, and consumption layers.\nWrite complex SQL queries and perform data transformation, validation, and modeling.\nWork with PostgreSQL and RDS for structured data storage and consumption.\nSupport API-based data access using Hasura GraphQL or similar technologies.\nMonitor production data pipelines, troubleshoot failures, and perform root cause analysis.\nOptimize Spark jobs, SQL queries, and data pipelines for performance and cost efficiency.\nFollow AWS security practices, IAM permissions, and data governance standards.\nCollaborate with application, analytics, and business teams to understand data requirements.\n\nMandatory Skills :\n2 to 4 years of experience in Data Engineering, AWS Data Engineering, or Data Platform Development.\nStrong hands-on experience with AWS services : S3, Glue, EMR, Athena, Redshift, Lambda, RDS, DMS, and IAM.\nGood experience in Python and PySpark.\nPractical experience with Apache Airflow for workflow orchestration.\nStrong SQL skills and understanding of database concepts.\nExperience in building and supporting ETL / ELT pipelines.\nUnderstanding of Data Lake architecture, data warehousing, and data modeling.\nWorking knowledge of PostgreSQL or similar relational databases.\nExperience handling production pipeline issues and troubleshooting.\n\nGood to Have :\nExperience with Hasura GraphQL or any GraphQL-based API / data-serving platform.\nKnowledge of DBT (Data Build Tool).\nUnderstanding of Lakehouse architecture and table formats such as Apache Iceberg or Delta Lake.\nExperience with Kafka or other streaming data technologies.\nKnowledge of Amazon Redshift performance optimization, distribution keys, and sort keys.\nExperience with AWS Aurora and API Gateway.\nBFSI, Banking, or Insurance domain experience.\n\nIdeal Candidate Profile :\nStrong hands-on technical and problem-solving skills.\nExperience working on real-time or batch-based production data pipelines.\nGood understanding of data processing, transformation, and storage concepts.\nAbility to troubleshoot technical issues and work independently.\nGood communication and collaboration skills.\n\nNote : Candidates with strong practical experience in AWS Data Lake, PySpark, Airflow, Python, and SQL will be preferred. Real-world project experience is more important than theoretical knowledge or certifications.\nSkills\nAmazon Web Services (AWS), AWS Data Lake, Amazon S3, Amazon EMR, AWS Glue, AWS Athena, Amazon Redshift, AWS Lambda, AWS RDS, AWS DMS, AWS IAM, Python, PySpark, Apache Airflow, Advanced SQL, ETL, ELT, Data modeling, PostgreSQL, hasura, GraphQL","description_format":"text","description_chars":3855,"description_truncated":false,"requirements":{"experience_years_min":2,"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":["IT Consulting & Digital Transformation","Custom Software Development","AI Consulting & Integration","IT Staffing & Staff Augmentation"],"lifecycle":[{"event":"open","at":"2026-11-07T00:22:55Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":22,"reasons":["seen:0","velocity","win:early","comp:junior"],"computed_at":"2026-11-07T05:47:08Z"},"pay":{"stated_usd_annual":10766,"is_top_pay":false},"html_url":"https://alion.io/job/neogencode-technologies-pvt-ltd-aws-data-engineer-data-lake-engineer","json_url":"https://alion.io/job/neogencode-technologies-pvt-ltd-aws-data-engineer-data-lake-engineer.json","meta":{"generated_at":"2026-11-07T11:39:14Z","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":12080,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-08T00:00:00Z"}},"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":3798318},"rest":"https://alion.io/mcp/rest/get_company?id=3798318"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fneogencode-technologies-pvt-ltd-aws-data-engineer-data-lake-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%2Fneogencode-technologies-pvt-ltd-aws-data-engineer-data-lake-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%2Fneogencode-technologies-pvt-ltd-aws-data-engineer-data-lake-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/neogencode-technologies-pvt-ltd-aws-data-engineer-data-lake-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fneogencode-technologies-pvt-ltd-aws-data-engineer-data-lake-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3900031}},{"tool":"search_jobs","arguments":{"company":"neogencode.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3900031},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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