{"id":1789073,"url":"https://alion.io/job/kanerika-data-engineer-2","title":"Data Engineer","company":{"id":177954,"name":"Kanerika","domain":"kanerika.com","url":"https://alion.io/company/kanerika","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Zoho Recruit","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"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":16500,"max_usd":45000,"period":"year","method":"role_country_seniority_unknown","sample_n":120},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"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":"GDPR","optional":false},{"name":"Java","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"SOC 2","optional":false},{"name":"SQL","optional":false},{"name":"Amazon Kinesis","optional":true},{"name":"Apache Kafka","optional":true},{"name":"Delta Lake","optional":true},{"name":"Git","optional":true},{"name":"LLM","optional":true},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-10-03T17:39:13Z","employer_posted_date":"2026-10-03","last_verified_at":"2026-10-04T23:33:22Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Data Engineer\nAbout Kanerika\nWho we are:\nKanerika Inc. is a\npremier global software products and services firm that specializes in\nproviding innovative solutions and services for data-driven enterprises. Our\nfocus is to empower businesses to achieve their digital transformation goals\nand maximize their business impact through the effective use of data and AI. We leverage cutting-edge technologies in data\nanalytics, data governance, AI-ML, GenAI/ LLM and industry best practices to\ndeliver custom solutions that help organizations optimize their operations,\nenhance customer experiences, and drive growth.\nAwards and\nRecognitions\nKanerika has won\nseveral awards over the years, including:\n·CMMI Level 3 Appraised in 2024.\n·Best Place to Work\n2022 & 2023 by Great Place to Work®.\n·Top 10 Most Recommended RPA Start-Ups in 2022 by RPA today.\n·NASSCOM Emerge 50 Award in 2014.\n·Frost & Sullivan\nIndia 2021 Technology Innovation Award for its Kompass composable solution\narchitecture.\n·Recognized for ISO\n27701, 27001, SOC2, and GDPR compliances.\n·Featured as Top\nData Analytics Services Provider by GoodFirms.\nWorking for us\nKanerika is rated 4.6/5\non Glass door, for many good reasons. We truly value our employees' growth,\nwell-being, and diversity, and people’s experiences bear this out. At Kanerika,\nwe offer a host of enticing benefits that create an environment where you can\nthrive both personally and professionally. From our inclusive hiring practices\nand mandatory training on creating a safe work environment to our flexible\nworking hours and generous parental leave, we prioritize well-being and\nsuccess of our employees. Our commitment to professional development is evident\nthrough our mentorship programs, job training initiatives, and support for\nprofessional certifications. Additionally, our company-sponsored outings and\nvarious time-off benefits ensure a healthy work-life balance. Join us at\nKanerika and become part of a vibrant and diverse community where your talents\nare recognized, your growth is nurtured, and your contributions make a real\nimpact. See the benefits section below for the perks you’ll get while working\nfor Kanerika.\n\nLocations\nWe are located in\nAustin (USA), Singapore, Hyderabad, Indore and Ahmedabad (India).\nJob Location:Hyderabad, Indore and\nAhmedabad (India)\nRequirements\nAbout the Role\nWe are seeking a skilled Data Engineer with strong experience in Databricks, Microsoft Fabric, or Snowflake,\nalong with Power BI expertise, to design, build, and optimize scalable\ndata pipelines and analytics solutions. You will also play a key role in\nenabling effective data visualization and reporting for business stakeholders.\nKey Responsibilities\nDesign, develop, and maintain ETL/ELT pipelines usingDatabricks, Fabric, or Snowflake.\n\nBuild and optimize data workflows for performance,scalability, and cost efficiency in cloud environments (Azure/AWS/GCP).\n\nImplement and manage data lakes, data warehouses, orlakehouse architectures.\n\nDevelop and maintain Power BI dashboards and reports tosupport business insights and decision-making.\n\nCollaborate with cross-functional teams to define datarequirements, governance standards, and best practices.\n\nEnsure data quality, integrity, and security across allplatforms.\n\nAutomate workflows and support CI/CD deployments fordata solutions.\n\nMonitor and troubleshoot pipelines and dashboards to ensurehigh availability and reliability.\n\nRequired Qualifications\nBachelor’s/Master’s degree in Computer Science, InformationTechnology, Engineering, or related field.\n\nProven experience as a Data Engineer with expertise in DatabricksOR Fabric OR Snowflake.\n\nHands-on experience with Power BI (data modeling, DAX,dashboard creation, performance optimization).\n\nStrong proficiency in SQL and at least one programminglanguage (Python/Scala/Java).\n\nExperience with data modeling and building scalablepipelines in cloud environments.\n\nKnowledge of Azure, AWS, or GCP and their dataecosystem.\n\nStrong problem-solving, analytical, and communication skills.\nPreferred Qualifications\nExperience with streaming data technologies (Kafka,Event Hubs, Kinesis).\n\nKnowledge of Delta Lake, Synapse, or Snowflake performanceoptimization.\n\nFamiliarity with DevOps practices for data (CI/CD, Git,Infrastructure as Code).\n\nExposure to machine learning pipelines or advancedanalytics.\n\nUnderstanding of data governance, lineage,and compliance frameworks\n\nBenefits\nEmployee Benefits\n1.Culture:\na.Open Door Policy: Encourages open communication and accessibility to\nmanagement.\nb.Open Office Floor Plan: Fosters a collaborative and interactive work environment.\nc.Flexible Working Hours: Allows employees to have flexibility in their\nwork schedules.\nd.Employee Referral Bonus: Rewards employees for referring qualified\ncandidates.\ne.Appraisal Process Twice a Year: Provides regular performance evaluations\nand feedback.\n2.Inclusivity and\nDiversity:\na.Hiring practices that promote diversity: Ensures a diverse and inclusive\nworkforce.\nb.Mandatory POSH training: Promotes a safe and respectful work\nenvironment.\n3.Health Insurance and\nWellness Benefits:\na.GMC and Term Insurance: Offers medical coverage and financial\nprotection.\nb.Health Insurance: Provides coverage for medical expenses.\nc.Disability Insurance: Offers financial support in case of disability.\n4.Child Care &\nParental Leave Benefits:\na.Company-sponsored family events: Creates opportunities for employees and\ntheirfamilies to bond.\nb.Generous Parental Leave: Allows parents to take time off after the birth\nor adoption of a child.\nc.Family Medical Leave: Offers leave for employees to take care of family\nmembers' medical needs.\n5.Perks and Time-Off\nBenefits:\na.Company-sponsored outings: Organizes recreational activities for\nemployees.\nb.Gratuity: Provides a monetary benefit as a token of appreciation.\nc.Provident Fund: Helps employees save for retirement.\nd.Generous PTO: Offers more than the industry standard for paid time off.\ne.Paid sick days: Allows employees to take paid time off when they are\nunwell.\nf.Paid holidays: Gives\nemployees paid time off for designated holidays.\ng.Bereavement Leave: Provides time off for employees to grieve the loss of\na loved one.\n6. Professional\nDevelopment Benefits:\na.L&D with FLEX- Enterprise Learning Repository: Provides access to a\nlearning repository for professional development.\nb.Mentorship Program: Offers guidance and support from experienced\nprofessionals.\nc.Job Training: Provides training to enhance job-related skills.\nd.Professional Certification Reimbursements: Assists employees in\nobtaining professional certifications.\ne.Promote from Within: Encourages internal growth and advancement\nopportunities.","description_format":"text","description_chars":6691,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Certification reimbursement","Flexible schedule","Health insurance","Parental leave","Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["AI Consulting & Integration","Data Engineering & Migration Services"],"lifecycle":[{"event":"open","at":"2026-10-03T17:39:13Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":21,"reasons":["conf:0","win:early"],"computed_at":"2026-10-04T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/kanerika-data-engineer-2","json_url":"https://alion.io/job/kanerika-data-engineer-2.json","meta":{"generated_at":"2026-10-05T01:57:34Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2568,"day_limit":5000,"remaining_today":2432,"minute_limit":60,"resets_at":"2026-10-06T00:00:00Z"}}}