{"id":3534817,"url":"https://alion.io/job/hcltech-technical-specialist-191","title":"Technical Specialist","company":{"id":225,"name":"HCLTech","domain":"hcltech.com","url":"https://alion.io/company/hcltech","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Sales","role_family":"Sales","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mexico City, Mexico"],"countries":["MX"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Apache NiFi","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Hadoop","optional":false},{"name":"Java","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Talend","optional":false}],"status":"live","first_seen_at":"2026-10-30T17:09:53Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-01T14:56:34Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Job Summary\nWork with cutting-edge big data platforms (e.g., Databricks, Apache Spark) at large scale, pushing the boundaries of data processing and model enablement.\nBuild and maintain robust ETL/ELT pipelines for ingestion, transformation, and aggregation of large-scale datasets on Hadoop and enterprise data platforms.\nDevelop high-performance data processing jobs using PySpark/Spark, Python on data platforms such as cloudera and databricks.\nOptimize pipeline performance and cost through partitioning, file formats, compute tuning, and efficient query patterns\nContribute to CI/CD for data workflows (testing, code reviews, deployment automation), promoting engineering best practices and maintainable codebases.\nPartner with Product Managers to develop a deep understanding of users and use cases and apply that knowledge to scoping and building new modules and features\nIdeal Candidate Qualifications:\nStrong hands-on experience in data engineering building production-grade pipelines on big data platforms (Hadoop ecosystem and cloud data platforms - databricks).\nHigh proficiency in using Python, Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi), SQL to build Big Data products.\nHands-on experience with cloud data platforms such as databricks, snowflake (databricks preferred)\nExperience with orchestration/integration tools such as Apache Airflow, Apache NiFi, or Talend.\nWorking knowledge of DevOps/CI-CD practices: version control (Git), automated testing, release pipelines, and observability.\nStrong problem-solving skills with the ability to debug complex data issues and communicate clearly with technical and non-technical stakeholders.\nExperience developing Java based applications is an added advantage.\nKey Responsibilities\nWork with cutting-edge big data platforms (e.g., Databricks, Apache Spark) at large scale, pushing the boundaries of data processing and model enablement.\nBuild and maintain robust ETL/ELT pipelines for ingestion, transformation, and aggregation of large-scale datasets on Hadoop and enterprise data platforms.\nDevelop high-performance data processing jobs using PySpark/Spark, Python on data platforms such as cloudera and databricks.\nOptimize pipeline performance and cost through partitioning, file formats, compute tuning, and efficient query patterns\nContribute to CI/CD for data workflows (testing, code reviews, deployment automation), promoting engineering best practices and maintainable codebases.\nPartner with Product Managers to develop a deep understanding of users and use cases and apply that knowledge to scoping and building new modules and features\nIdeal Candidate Qualifications:\nStrong hands-on experience in data engineering building production-grade pipelines on big data platforms (Hadoop ecosystem and cloud data platforms - databricks).\nHigh proficiency in using Python, Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi), SQL to build Big Data products.\nHands-on experience with cloud data platforms such as databricks, snowflake (databricks preferred)\nExperience with orchestration/integration tools such as Apache Airflow, Apache NiFi, or Talend.\nWorking knowledge of DevOps/CI-CD practices: version control (Git), automated testing, release pipelines, and observability.\nStrong problem-solving skills with the ability to debug complex data issues and communicate clearly with technical and non-technical stakeholders.\nExperience developing Java based applications is an added advantage.\nSkill Requirements\nWork with cutting-edge big data platforms (e.g., Databricks, Apache Spark) at large scale, pushing the boundaries of data processing and model enablement.\nBuild and maintain robust ETL/ELT pipelines for ingestion, transformation, and aggregation of large-scale datasets on Hadoop and enterprise data platforms.\nDevelop high-performance data processing jobs using PySpark/Spark, Python on data platforms such as cloudera and databricks.\nOptimize pipeline performance and cost through partitioning, file formats, compute tuning, and efficient query patterns\nContribute to CI/CD for data workflows (testing, code reviews, deployment automation), promoting engineering best practices and maintainable codebases.\nPartner with Product Managers to develop a deep understanding of users and use cases and apply that knowledge to scoping and building new modules and features\nIdeal Candidate Qualifications:\nStrong hands-on experience in data engineering building production-grade pipelines on big data platforms (Hadoop ecosystem and cloud data platforms - databricks).\nHigh proficiency in using Python, Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi), SQL to build Big Data products.\nHands-on experience with cloud data platforms such as databricks, snowflake (databricks preferred)\nExperience with orchestration/integration tools such as Apache Airflow, Apache NiFi, or Talend.\nWorking knowledge of DevOps/CI-CD practices: version control (Git), automated testing, release pipelines, and observability.\nStrong problem-solving skills with the ability to debug complex data issues and communicate clearly with technical and non-technical stakeholders.\nExperience developing Java based applications is an added advantage.\nOther Requirements\nWork with cutting-edge big data platforms (e.g., Databricks, Apache Spark) at large scale, pushing the boundaries of data processing and model enablement.\nBuild and maintain robust ETL/ELT pipelines for ingestion, transformation, and aggregation of large-scale datasets on Hadoop and enterprise data platforms.\nDevelop high-performance data processing jobs using PySpark/Spark, Python on data platforms such as cloudera and databricks.\nOptimize pipeline performance and cost through partitioning, file formats, compute tuning, and efficient query patterns\nContribute to CI/CD for data workflows (testing, code reviews, deployment automation), promoting engineering best practices and maintainable codebases.\nPartner with Product Managers to develop a deep understanding of users and use cases and apply that knowledge to scoping and building new modules and features\nIdeal Candidate Qualifications:\nStrong hands-on experience in data engineering building production-grade pipelines on big data platforms (Hadoop ecosystem and cloud data platforms - databricks).\nHigh proficiency in using Python, Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi), SQL to build Big Data products.\nHands-on experience with cloud data platforms such as databricks, snowflake (databricks preferred)\nExperience with orchestration/integration tools such as Apache Airflow, Apache NiFi, or Talend.\nWorking knowledge of DevOps/CI-CD practices: version control (Git), automated testing, release pipelines, and observability.\nStrong problem-solving skills with the ability to debug complex data issues and communicate clearly with technical and non-technical stakeholders.\nExperience developing Java based applications is an added advantage.","description_format":"text","description_chars":6978,"description_truncated":false,"requirements":{"experience_years_min":null,"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":["Cybersecurity","Professional Services","Science & Engineering","Systems Integrators"],"lifecycle":[{"event":"open","at":"2026-10-30T17:09:53Z"}],"visa":[],"liveness":{"score":99,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.993,"p_room":1,"age_days":1,"expected_fill_days":20,"reasons":["conf:1","wave","velocity","win:early","comp:brand"],"computed_at":"2026-11-01T06:10:25Z"},"pay":null,"html_url":"https://alion.io/job/hcltech-technical-specialist-191","json_url":"https://alion.io/job/hcltech-technical-specialist-191.json","meta":{"generated_at":"2026-11-01T23:23:32Z","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":35588,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-02T00:00:00Z"}},"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":225},"rest":"https://alion.io/mcp/rest/get_company?id=225"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fhcltech-technical-specialist-191"},{"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%2Fhcltech-technical-specialist-191"},{"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%2Fhcltech-technical-specialist-191"},{"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/hcltech-technical-specialist-191\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fhcltech-technical-specialist-191"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3534817}},{"tool":"search_jobs","arguments":{"company":"hcltech.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3534817},"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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