{"id":3326296,"url":"https://alion.io/job/mphasis-senior-data-engineering-2","title":"Senior Data Engineering","company":{"id":59446,"name":"Mphasis","domain":"mphasis.com","url":"https://alion.io/company/mphasis","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"RippleHire","truth_index":{"grade":"B","score":80,"open_postings":20,"ghost_share":0,"stale_share":0.8,"repost_share":0,"time_to_fill_p50_days":35,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":16500,"max_usd":35000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"CI/CD","optional":false},{"name":"Datadog","optional":false},{"name":"Git","optional":false},{"name":"Incident Management","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"ServiceNow","optional":false},{"name":"Shift-Left Security","optional":false},{"name":"Splunk","optional":false},{"name":"AWS","optional":true},{"name":"Databricks","optional":true},{"name":"GitHub","optional":true}],"status":"live","first_seen_at":"2026-10-19T00:00:00Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-11-01T04:55:47Z","board_verified":true,"closed_at":null,"days_open":13,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":13},"description":"Job Title: Senior Data Engineer Designation: Senior Data Engineering\nLocation: Mph-Cybercity Tower 4, Pune, INJob Summary: We are seeking a highly skilled Senior Data Engineer with a strong background in data operations and Site Reliability Engineering (SRE). The ideal candidate will possess hands-on experience with monitoring platforms and a proven ability to enhance operational readiness within delivery pipelines. This role requires expertise in Python, API integration, and incident management, along with a commitment to maintaining high standards in documentation and error handling. Responsibilities:Design and implement robust data operations processes to ensure high availability and reliability of data systems.Utilize monitoring platforms such as Datadog, Splunk, or CloudWatch to track system performance and identify issues proactively.Manage incident response processes, including the creation and maintenance of runbooks to enable support teams effectively.Integrate APIs (REST, ServiceNow, OKTA) to enhance system functionality and streamline operations.Incorporate 'shift-left' operational readiness practices into delivery pipelines to improve efficiency and reduce downtime.Develop and maintain structured logging and debugging practices for distributed systems, ensuring traceability through asynchronous operations.Implement error handling strategies to design resilient and retriable workflows, ensuring proper exception handling and recovery mechanisms.Write clear and concise documentation, including docstrings and runbooks, to facilitate troubleshooting and knowledge sharing.Collaborate with cross-functional teams to ensure seamless integration and deployment of data solutions.Mandatory Skills:Strong hands-on experience with monitoring platforms (Datadog, Splunk, or CloudWatch).Proven expertise in incident management and support team enablement.\nSolid understanding of API integration, specifically with REST, ServiceNow, and OKTA.\nExpertise in Python programming, with a focus on all modules being Python-based.\nExperience in logging and debugging distributed systems, including structured logging and tracing state through async operations.\nProficient in Git and version control, with a solid understanding of branching strategies and CI/CD integration.\nStrong skills in designing error handling and resilient workflows.\nPreferred Skills:\nFamiliarity with additional API integrations such as Databricks, GitHub, AWS, and Lakeflow.\nExperience in developing and maintaining comprehensive documentation for technical processes.\nKnowledge of best practices in data engineering and SRE methodologies.\nQualifications:\nBachelor's degree in Computer Science, Engineering, or a related field.Demonstrated ability to work collaboratively in a fast-paced environment.Strong analytical and problem-solving skills.Excellent communication skills, both verbal and written.About Mphasis:Mphasis applies next-generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis’ Front2Back™ Transformation approach. Front2Back™ uses the exponential power of cloud and cognitive to provide hyper-personalized (C=X2C2TM=1) digital experience to clients and their end customers. Mphasis’ Service Transformation approach helps ‘shrink the core’ through the application of digital technologies across legacy environments within an enterprise, enabling businesses to stay ahead in a changing world. Mphasis’ core reference architectures and tools, speed and innovation with domain expertise and specialization are key to building strong relationships with marquee clients.\nEqual Opportunity Employer:Mphasis is an equal opportunity/affirmative action employer. We provide equal employment opportunities to applicants and existing associates and evaluate qualified candidates without regard to race, gender, national origin, ancestry, age, color, religious creed, marital status, genetic information, sexual orientation, gender identity, gender expression, sex (including pregnancy, breast feeding and related medical conditions), mental or physical disability, medical conditions military and veteran status or any other status or condition protected by applicable federal, state, or local laws, governmental regulations and executive orders. View the EEO in the law poster here, view the EEO in the law supplement here. To view the pay transparency nondiscrimination provision please click here and to view the E-Verify posting click here.\nMphasis is committed to providing reasonable accommodations to individuals with disabilities. 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