{"id":1230550,"url":"https://alion.io/job/recruise-india-consulting-senior-data-engineer","title":"Senior Data Engineer","company":{"id":3801271,"name":"Recruiseglobal","domain":"recruiseglobal.com","url":"https://alion.io/company/recruiseglobal","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"hybrid","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":{"min":1500000,"max":2500000,"currency":"INR","period":"year","gross":true,"usd_annual":26205},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-18T05:56:40Z","employer_posted_date":null,"last_verified_at":"2026-09-18T05:56:40Z","board_verified":false,"closed_at":null,"days_open":34,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":34},"description":"Role Overview:\n\nAs a Senior Data Engineer based in Hyderabad, you will serve as a cornerstone of our data infrastructure team, architecting and maintaining robust pipelines that transform raw data into actionable business intelligence. You will collaborate closely with cross-functional teams, including data scientists, product managers, and business stakeholders, to translate complex requirements into scalable technical solutions. By leveraging cutting-edge cloud technologies, you will play a pivotal role in optimizing our data ecosystem, directly influencing strategic decision-making and enhancing the performance of our data-driven products for our global user base.\n\nKey Responsibilities:\n\n- Design and implement high-performance ETL/ELT pipelines using PySpark and Azure Databricks to ensure seamless data ingestion and transformation for downstream analytics.\n\n- Architect real-time data streaming solutions utilizing Kafka to provide low-latency insights that empower stakeholders to make rapid, data-backed decisions.\n\n- Manage and optimize Snowflake DB environments to ensure high availability, cost-efficiency, and superior query performance for enterprise-wide reporting.\n\n- Integrate advanced AI and GPT-based models into existing data workflows to automate data enrichment and improve the quality of predictive insights.\n\n- Mentor junior engineers and conduct rigorous code reviews to maintain high engineering standards and foster a culture of technical excellence within the team.\n\n- Collaborate with infrastructure teams to automate deployment processes, ensuring the reliability and scalability of our data platforms as business demands grow.\n\nRequired Skillset:\n\n- Demonstrated expertise in building complex data architectures using Python and SQL, with a deep understanding of data modeling and warehousing principles.\n\n- Proven ability to manage large-scale data processing tasks in Azure Databricks and Snowflake environments, ensuring data integrity and security across all pipelines.\n\n- Strong proficiency in developing event-driven architectures with Kafka, coupled with the ability to troubleshoot and resolve complex distributed system issues.\n\n- Exceptional communication skills, with the ability to articulate technical concepts to non-technical stakeholders and influence project direction through data-driven storytelling.\n\n- A proactive mindset toward learning, with a demonstrated interest in applying emerging technologies like GPT to solve traditional data engineering challenges.\n\n- A Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field, reflecting a strong foundation in algorithmic thinking.\n\n- Ability to thrive in a hybrid work environment in Hyderabad, balancing independent problem-solving with active participation in collaborative team sprints.\n\n- A minimum of 5 to 8 years of hands-on experience in data engineering roles, showcasing a track record of delivering impactful data products in high-growth environments.\nSkills\nPython, SQL, Data Engineering, Kafka, Azure Databricks, PySpark, Snowflake DB, ETL, Data Pipeline","description_format":"text","description_chars":3114,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Hybrid 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