{"id":3418855,"url":"https://alion.io/job/hiringhood-mid-data-engineer","title":"Mid Data Engineer","company":{"id":3836002,"name":"Hiringhood","domain":"hiringhood.ai","url":"https://alion.io/company/hiringhood","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":true,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":13500,"max_usd":36000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":21},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"MySQL","optional":false},{"name":"PostgreSQL","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":"Apache Kafka","optional":true},{"name":"Databricks","optional":true},{"name":"Delta Lake","optional":true},{"name":"Docker","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Microsoft Fabric","optional":true}],"status":"live","first_seen_at":"2026-10-28T17:22:27Z","employer_posted_date":null,"last_verified_at":"2026-10-28T17:22:27Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"Data Engineer | 4-6 Years | Hiringhood Phygital Matchday Hyderabad\n\nExperience: 4-6 Years \nEmployment Type: Full-Time, Permanent \nLocation: Hyderabad \nMatchday Date:31 October 2026\n\nJob Summary\nHiringhood is conducting a Phygital Matchday to connect experienced Data Engineers with opportunities across 2 Global Capability Centres (GCCs) and 3 Indian product companies.\n\nWe are looking for Data Engineers with strong expertise in Python, SQL, PySpark, Apache Spark, ETL/ELT pipelines and cloud data engineering. Candidates should have hands-on experience building scalable, reliable, production-grade data pipelines and modern data platforms.\n\nKey Responsibilities\n- Design, develop and maintain scalable data pipelines for data ingestion, transformation and processing.\n- Build and optimize ETL/ELT workflows integrating data from multiple sources.\n- Develop data processing solutions using Python, SQL and PySpark.\n- Work with large datasets using Apache Spark.\n- Design and maintain data warehouses, data lakes and lakehouse solutions.\n- Implement data quality checks, validation, monitoring and error handling.\n- Optimize pipeline performance, scalability and reliability.\n- Work with cloud platforms such as AWS, Azure or GCP.\n- Collaborate with data scientists, analysts, software engineers and business stakeholders.\n- Follow best practices for data security, governance, Git, CI/CD and documentation.\n\nRequired Skills\n- 4-6 years of relevant Data Engineering experience.\n- Strong proficiency in Python and SQL.\n- Hands-on experience with ETL/ELT pipeline development.\n- Experience with Apache Spark and PySpark.\n- Knowledge of data warehousing, data lakes and data modelling.\n- Experience with at least one cloud platform: AWS, Azure or GCP.\n- Experience with PostgreSQL, MySQL, SQL Server or similar databases.\n- Familiarity with Apache Airflow or other workflow orchestration tools.\n- Understanding of star and snowflake schemas, fact and dimension tables, and slowly changing dimensions (SCDs).\n- Knowledge of data quality, pipeline optimization and performance tuning.\n- Familiarity with Git and CI/CD practices.\n\nGood-to-Have Skills\n- Database Certification preferred. \n- Snowflake Certification preferred. \n- Databricks, Snowflake, Microsoft Fabric, BigQuery or Amazon Redshift.\n- Parquet and columnar data formats.\n- Kafka or other streaming technologies.\n- Delta Lake and lakehouse architecture.\n- Docker and data pipeline deployment practices.\n\nEducation\nBachelors or Masters degree in Computer Science, Information Technology, Engineering or a related field.\n\n Hiringhood Phygital Matchday Selection Process\n\n1. Online Registration: Register for the Data Engineer opportunity.\n2. Preliminary Online MCQ:Complete the initial technical assessment. Qualification is mandatory to attend the in-person Matchday.\n3. In-Person Technical Assessment Hyderabad, 31 October 2026: Complete a technical MCQ, executable coding assessment and TARA AI technical interview.\n4. Employer Shortlisting: Participating employers evaluate candidates based on technical performance, experience and role fit. Additional interview rounds may apply.\n\nImportant: In-person attendance is mandatory for candidates who qualify in the preliminary online assessment. Assessment completion does not guarantee shortlisting or an offer.\n\nApply now to participate in Hiringhood Phygital Matchday and explore Data Engineering opportunities across participating organizations.","description_format":"text","description_chars":3455,"description_truncated":false,"requirements":{"experience_years_min":4,"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":["Job Boards & Aggregators","HR & Recruiting AI"],"lifecycle":[{"event":"open","at":"2026-10-28T20:09:00Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":2,"expected_fill_days":30,"reasons":["seen:2","velocity","win:early"],"computed_at":"2026-10-31T05:58:55Z"},"pay":null,"html_url":"https://alion.io/job/hiringhood-mid-data-engineer","json_url":"https://alion.io/job/hiringhood-mid-data-engineer.json","meta":{"generated_at":"2026-10-31T16:35:44Z","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":25969,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-01T00:00:00Z"}},"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":3836002},"rest":"https://alion.io/mcp/rest/get_company?id=3836002"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fhiringhood-mid-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%2Fhiringhood-mid-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%2Fhiringhood-mid-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/hiringhood-mid-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fhiringhood-mid-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3418855}},{"tool":"search_jobs","arguments":{"company":"hiringhood.ai","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3418855},"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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