{"id":2634924,"url":"https://alion.io/job/talent-management-solutions-data-engineer-3","title":"Data Engineer","company":{"id":3420,"name":"Talent Management Solutions","domain":"talentmanagementsolution.com","url":"https://alion.io/company/talentmanagementsolution","size_band":"1001-5000","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":79,"open_postings":7,"ghost_share":0,"stale_share":0.857,"repost_share":0,"time_to_fill_p50_days":48,"computed_at":"2026-10-16T05:45:00Z"}},"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":["Karachi, Pakistan"],"countries":["PK"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":61000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":865},"experience_years_min":3,"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":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"Boto3","optional":false},{"name":"Databricks","optional":false},{"name":"DynamoDB","optional":false},{"name":"ETL/ELT","optional":false},{"name":"IAM","optional":false},{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-15T17:13:17Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-15T21:52:28Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About Contour\nContour Software has grown from a dozen people to over 2,000 staff across 3 cities, in less than 14 years.\nAs a subsidiary of Constellation Software Inc., we are proud to be part of a global enterprise software conglomerate that has grown to become one of the top 10 software companies in the world, with employees and customers in 100+ countries. With a broad-based and ever-growing portfolio of market-leading, vertical-market enterprise solutions covering more than 100 industry domains in predominantly mature markets, CSI's recipe creates the perfect environment for professionals to build fulfilling, long-term careers.\nWhat started as an R&D & Accounting back-office, has progressed into a full-service Global Centre serving all functions and departments, at the divisional as well as operating group/corporate level. Today Contour employees, located in Karachi, Lahore & Islamabad, are serving CSI divisions located in time zones spanning the globe, from Sydney to Vancouver. With the global growth of Constellation as the wind in our sails, we are only just getting started!\nThe Division: \nConstellation Payments is a leading global gateway and merchant services provider with special expertise in software integration and recurring transactions representing a wide variety of verticals - including government entities, municipalities, moving and storage, club management, attractions, fitness, martial arts, event registration and hospitality management.\nThe Position: \nWe are looking for a Data Engineer to join our development team and participate in different projects. We are looking for proactive people, team players passionate about technology and big data. This is an excellent opportunity for those professionals looking to develop in one of the fastest growing areas of software development.\nThe selected individuals will work out of the Contour Software Lahore/Karachi/Islamabad resource center office, as an extension of the division-based R&D department.\nRole and Responsibilities:\nWrite efficient queries to extract and analyze large datasets while ensuring seamless systems integration by developing robust data workflows. \nDesign, develop, and maintain scalable ETL solutions for data pipelines, enhancing and optimizing existing processes to meet evolving business needs. \nDevelop and expand the organization’s data technology stack to support advanced data processing and analytics needs, leveraging tools like AWS MapReduce and PySpark for big data handling. \nApply machine learning techniques to clean and process data, supporting future initiatives to integrate machine learning into analytics workflows. \nContinuously evaluate and adopt the most efficient tools and technologies for data extraction, transformation, analysis, and integration. \nBuild a strong understanding of customer business needs to deliver tailored and impactful data solutions, collaborating with stakeholders to translate business requirements into technical implementations. \nUtilize AWS services, including MapReduce and related tools, to enable scalable data processing and pipeline optimization while ensuring security, scalability, and cost-efficiency. \nMonitor and improve the performance of data systems and processes, staying updated on industry trends and emerging technologies in data engineering and analytics. \nRequired Skills:\nMinimum 3 years of experience with AWS cloud data lake architectures including services like S3, Glue, Athena, and Redshift. \nHands on experience with Apache Airflow for designing and managing complex data workflows. \nDeep understanding of data warehouse concepts, architectures, and structures. \nExpertise in cloud technologies, particularly AWS services, including AWS Glue, AWS Data Lake, and Amazon EMR for big data processing. \nProven ability to design and build robust, scalable data pipelines for big data processing and transformation. \nHands-on experience with big data tools and frameworks such as PySpark, Databricks, and related technologies. \nProficiency in programming languages such as Python for data manipulation, transformation, and analysis. Advanced Python development skills, including experience with AWS SDKs (e.g. boto3) for interacting with cloud services. \nProficiency in Apache Kafka for real-time data streaming and event-driven architectures. \nStrong SQL skills with a focus on complex query development and optimization. Familiarity with NoSQL databases such as DynamoDB or MongoDB \nExperience integrating Python applications with RESTful APIs and external services \nDeep understanding of data security best practices, including encryption at rest and in transit. Hands-on experience in implementing AWS KMS (Key Management Services) for managing encryption keys. \nFamiliarity with IAM policies, VPC configurations, and security groups for securing data pipelines. \nFamiliarity with machine learning concepts and their application to data cleaning and integration tasks. \nAdvanced English proficiency, with excellent communication skills for collaborating with stakeholders. \n\nConstellation Payments | Enterprise Payment Processing\nEnterprise-grade payment infrastructure for SaaS businesses. Secure, scalable APIs, fraud protection, and global payment solutions built for growth.\nExciting Benefits we offer:\nMarket-leading Salary\nMedical Coverage - Self & Dependents\nParents Medical Coverage\nProvident Fund\nEmployee Performance-based bonuses\nHome Internet Subsidy\nConveyance Allowance\nProfit Sharing Plan [Tenured Employees Only]\nLife Benefit\nChild Care Facility\nCompany Provided Lunch/Dinner\nProfessional Development Budget\nRecreational area for in-house games\nSporadic On-shore training opportunities\nFriendly work environment\nLeave Encashment\nDisclaimer: At Contour, we attribute our success to the unique contributions of our diverse staff. We’re committed to fostering a culture of respect that thrives on the varied perspectives and experiences of all individuals we recruit, employ, promote, and compensate. Since day one, we’ve adhered to a policy that champions a work environment honoring the worth and dignity of each person while being free from all forms of employment discrimination.\nIn our continuous effort to promote inclusivity, we extend our commitment to individuals with special needs by providing reasonable accommodations. We actively encourage qualified individuals with special needs to apply for the various openings within our company. Should you require assistance in completing the application process or have any inquiries regarding special facilities, please do not hesitate to contact our HR team. Your unique talents and abilities are welcomed and valued here.","description_format":"text","description_chars":6683,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce"],"lifecycle":[{"event":"open","at":"2026-10-15T17:13:17Z"}],"visa":[],"liveness":{"score":54,"band":"ok","label":"Likely open","p_open":1,"p_active":0.542,"p_room":1,"age_days":0,"expected_fill_days":48,"reasons":["conf:7","agency","velocity","win:early"],"computed_at":"2026-10-16T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/talent-management-solutions-data-engineer-3","json_url":"https://alion.io/job/talent-management-solutions-data-engineer-3.json","meta":{"generated_at":"2026-10-16T06:46:00Z","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":4591,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"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":3420},"rest":"https://alion.io/mcp/rest/get_company?id=3420"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftalent-management-solutions-data-engineer-3"},{"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%2Ftalent-management-solutions-data-engineer-3"},{"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%2Ftalent-management-solutions-data-engineer-3"},{"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/talent-management-solutions-data-engineer-3\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftalent-management-solutions-data-engineer-3"}]}