Data Engineer
Ushta Te Consultancy Services LLPBangalore17 days ago
Job descriptionLead, mentor, and inspire a high-performing team of Data Scientists, Analysts, and AI / ML Engineers, fostering a collaborative, innovative, and impact-driven environment. Design, develop, and maintain robust data models, analytics frameworks, dashboards, and machine learning solutions that drive business strategy and decision-making. Develop and execute experimentation frameworks, including defining clear success metrics, designing A / B tests, and analyzing results to guide strategic product decisions. Partner closely with product, engineering, and leadership to translate complex clickstream behavioral data into strategic insights that inform product roadmaps and investments. Clearly communicate findings, insights, and recommendations to both technical and non-technical stakeholders, building credibility and driving alignment with senior leadership. Influence product direction by developing hypotheses, employing analytical rigor, and creating clear, impactful presentations and narratives around data-driven insights. Continuously identify new opportunities for leveraging data and analytics to enhance product capabilities, operational efficiency, and customer satisfaction. Drive measurement strategies, set ambitious goals, forecast outcomes, and closely monitor key product and business metrics. 5+ years of technical experience in data analytics, data engineering, data science, or AI / ML. Proven experience working extensively with behavioral clickstream data, experimentation (A / B testing), and statistical analysis. Advanced expertise in data modeling, data design, and creating analytics strategies aligned with complex business needs. Extensive experience collaborating cross-functionally with product management, engineering, and senior leadership. Outstanding communication skills, with the ability to translate technical concepts into clear narratives and actionable insights for diverse audiences. Demonstrated ability to navigate ambiguity, prioritize effectively, and execute in a dynamic, fast-paced environment. Expert proficiency in SQL / Hive, Python or R, with substantial experience querying, analyzing, and building models on large-scale datasets. Strong product sense with the ability to identify and quantify opportunities, define clear success metrics, and shape strategic priorities. Track record of driving innovation, influencing product roadmaps, and delivering measurable business impact through data-driven initiatives
Responsibilities :
- Proficiency in SQL database design, proficiency in creating process documentation, strong written and verbal communication skills, and the ability to work independently and on teams.
- Familiarity with the computer coding languages python, java, kafka, hive, or storm may be required in order to oversee real-time business metric aggregation, data warehousing and querying, schema and data management, and related duties.
- Should have knowledge of algorithms, data structures, and performance optimism and experience with processing and interpreting data sets.
- Develop technical solutions to improve access to data and data usage.
- Understand data needs and advise company on technological resources.
- Aggregate and analyze various data sets to provide actionable insight.
- Develop reports, dashboards, and tools for business-users.
Key Responsibilities :
Requirement :
(ref : hirist.tech)
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Data Engineer • Bangalore
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