{"id":1789074,"url":"https://alion.io/job/kanerika-data-engineering-lead","title":"Data Engineering Lead","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":"lead","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":26000,"max_usd":46000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"GDPR","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"MLFlow","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"SOC 2","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-10-03T17:39:13Z","employer_posted_date":"2026-10-03","last_verified_at":"2026-10-05T23:00:35Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Data Engineering Lead\nAbout\nKanerika\nWho we\nare \nKanerika\nInc. is a premier global software products and services firm that specializes\nin providing 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. We\nleverage cutting-edge technologies and industry best practices to deliver\ncustom solutions that help organizations optimize their operations, enhance\ncustomer experiences, and drive growth.\nAwards\nand Recognitions\nKanerika\nhas won several awards over the years, including:\nBest Placeto Work 2022 by Great Place to Work®\n\nTop 10Most Recommended RPA Start-Ups in 2022 by RPA Today\n\nFrost& Sullivan India 2021 Technology Innovation Award for its Kompass composable\nsolution architecture\n\nKanerika has also been recognized for its commitmentto customer privacy and data security, having achieved ISO 27701, SOC2,\nand GDPR compliances.\n\nWorking for us\nKanerika is rated 4.5/5 on Glass door, for\nmany good reasons. We truly value our employees' growth, well-being, and\ndiversity, and people’s experiences bear this out. At Kanerika, we offer a host\nof enticing benefits that create an environment where you can thrive both\npersonally and professionally. From our inclusive hiring practices and\nmandatory training on creating a safe work environment to our flexible working\nhours and generous parental leave, we prioritize the well-being and success of\nour employees. Our commitment to professional development is evident through\nour mentorship programs, job training initiatives, and support for professional\ncertifications. Additionally, our company-sponsored outings and various\ntime-off benefits ensure a healthy work-life balance. Join us at Kanerika and\nbecome part of a vibrant and diverse community where your talents are\nrecognized, your growth is nurtured, and your contributions make a real impact.\nSee the benefits section below for the perks you’ll get while working for\nKanerika.\nRole\nAs a Data Engineering Lead, your role will involve designing,\ndeveloping, and implementing interactive dashboards and reports using data\nengineering tools. You will work closely with stakeholders to gather\nrequirements and translate them into effective data visualizations that provide\nvaluable insights. Additionally, you will be responsible for extracting,\ntransforming, and loading data from multiple sources into Power BI, ensuring\nits accuracy and integrity. Your expertise in Power BI and data analytics will\ncontribute to informed decision-making and support the organization in driving\ndata-centric strategies and initiatives.\nRequirements\nWe are\nlooking for you!\nAs an\nideal candidate for the Data Engineering Lead position, you embody the\nqualities of a team player with a relentless get-it-done attitude. Your\nintellectual curiosity and customer focus drive you to continuously seek new\nways to add value to your job accomplishments. You thrive under pressure,\nmaintaining a positive attitude and understanding that your career is a\njourney. You are willing to make the right choices to support your growth. In\naddition to your excellent communication skills, both written and verbal, you\nhave a proven ability to create visually compelling designs using tools like\nPower BI and Tableau that effectively communicate our core values.\nYou\nbuild high-performing, scalable, enterprise-grade applications and teams. Your\ncreativity and proactive nature enable you to think differently, find\ninnovative solutions, deliver high-quality outputs, and ensure customers remain\nreferenceable. With over eight years of experience in data engineering, you\npossess a strong sense of self-motivation and take ownership of your\nresponsibilities. You prefer to work independently with little to no\nsupervision.\nYou\nare process-oriented, adopt a methodical approach, and demonstrate a\nquality-first mindset. You have led mid to large-size teams and accounts,\nconsistently using constructive feedback mechanisms to improve productivity,\naccountability, and performance within the team. Your track record showcases\nyour results-driven approach, as you have consistently delivered successful\nprojects with customer case studies published on public platforms. Overall, you\npossess a unique combination of skills, qualities, and experiences that make\nyou an ideal fit to lead our data engineering team(s). You value inclusivity\nand want to join a culture that empowers you to show up as your authentic self.\nYou\nknow that success hinges on commitment, our differences make us stronger, and\nthe finish line is always sweeter when the whole team crosses together. In your\nrole, you should be driving the team using data, data, and more data. You will\nmanage multiple teams, oversee agile stories and their statuses, handle\nescalations and mitigations, plan ahead, identify hiring needs, collaborate\nwith recruitment teams for hiring, enable sales with pre-sales teams, and work\nclosely with development managers/leads for solutioning and delivery statuses,\nas well as architects for technology research and solutions.\nWhat\nyou’ll do\nFollowing\nare high level responsibilities that you will play but not limited to:\nLead the design, development, and implementation of modern data pipelines, data models, and ETL/ELT processes.\nArchitect and optimize data lake and warehouse solutions using Microsoft Fabric, Databricks, or Snowflake.\nEnable business analytics and self-service reporting through Power BI and other visualization tools.\nCollaborate with data scientists, analysts, and business users to deliver reliable and high-performance data solutions.\nImplement and enforce best practices for data governance, data quality, and security.\nMentor and guide junior data engineers; establish coding and design standards.\nEvaluate emerging technologies and tools to continuously improve the data ecosystem.\nWhat you’ll bring\nBachelor’s/Master’s degree in Computer Science, Information Technology, Engineering, or related field.\n8+ years of experience in data engineering or data platform development, with at least 2-3 years in a lead or architect role.\nStrong hands-on experience in one or more of the following:\nMicrosoft Fabric (Data Factory, Lakehouse, Data Warehouse)\nDatabricks (Spark, Delta Lake, PySpark, MLflow)\nSnowflake (Data Warehousing, Snowpipe, Performance Optimization)\nPower BI (Data Modeling, DAX, Report Development)\nProficiency in SQL and programming languages like Python or Scala.\nExperience with Azure, AWS, or GCP cloud data services.\nSolid understanding of data modeling, data governance, security, and CI/CD practices.\nBenefits\nEmployee Benefits\n1.\nCulture:\nOpen Door Policy:Encourages open communication and accessibility to management.\n\nOpen Office FloorPlan: Fosters a collaborative and interactive work environment.\n\nFlexible WorkingHours: Allows employees to have flexibility in their work schedules.\n\nEmployee ReferralBonus: Rewards employees for referring qualified candidates.\n\nAppraisal ProcessTwice a Year: Provides regular performance evaluations and feedback.\n\n2.\nInclusivity and Diversity:\nHiring practices thatpromote diversity: Ensures a diverse and inclusive workforce.\n\nMandatory POSHtraining: Promotes a safe and respectful work environment.\n\n3.\nHealth Insurance and Wellness Benefits:\nGMC and TermInsurance: Offers medical coverage and financial protection.\n\nHealth Insurance:Provides coverage for medical expenses.\n\nDisability Insurance:Offers financial support in case of disability.\n\n4.\nChild Care & Parental Leave Benefits:\nCompany-sponsoredfamily events: Creates opportunities for employees and their families to\nbond.\n\nGenerous ParentalLeave: Allows parents to take time off after the birth or adoption of a\nchild.\n\nFamily Medical Leave:Offers leave for employees to take care of family members' medical needs.\n\n5.\nPerks and Time-Off Benefits:\nCompany-sponsoredoutings: Organizes recreational activities for employees.\n\nGratuity: Provides amonetary benefit as a token of appreciation.\n\nProvident Fund: Helpsemployees save for retirement.\n\nGenerous PTO: Offersmore than the industry standard for paid time off.\n\nPaid sick days: Allowsemployees to take paid time off when they are unwell.\n\nPaid holidays: Givesemployees paid time off for designated holidays.\n\nBereavement Leave:Provides time off for employees to grieve the loss of a loved one.\n\n6.\nProfessional Development Benefits:\nL&D with FLEX-Enterprise Learning Repository: Provides access to a learning repository\nfor professional development.\n\nMentorship Program:Offers guidance and support from experienced professionals.\n\nJob Training: Providestraining to enhance job-related skills.\n\nProfessionalCertification Reimbursements: Assists employees in obtaining professional\ncertifications.\n\nPromote from Within:Encourages internal growth and advancement opportunities.","description_format":"text","description_chars":8913,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":2,"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":90,"band":"hot","label":"Hiring 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