Data Engineer (SQL, C#) in Pune, India is listed on Jobeax. Browse 30,000+ vacancies available.
A data engineer designs, constructs, installs, tests, and maintains highly scalable data management systems. They are responsible for building the infrastructure that allows for the generation, collection, and analysis of large datasets. Key responsibilities include developing, constructing, testing, and maintaining architectures such as databases and large-scale processing systems, ensuring that architectures support data analytics, and preparing data for prescriptive and predictive modeling. Data engineers also develop data set processes for data modeling, mining, and production, integrate new data management technologies and software engineering tools into existing structures, and collaborate with data scientists and analysts to ensure data accuracy and accessibility. They play a critical role in enabling the data-driven decision-making process by ensuring that data pipelines are robust, efficient, and scalable Part of a cross-disciplinary team, working closely with other data engineers, software engineers, data scientists, data managers and business partners. Implements and maintains reliable and scalable data infrastructure to move, process and serve data. Writes, deploys and maintains software to build, integrate, manage, maintain, and quality-assure data at bp. Adheres to and advocates for software engineering best practices (e.g. technical design, technical design review, unit testing, monitoring & alerting, checking in code, code review, documentation), code reuse). Adheres to and advocates for data engineering best practices(e.g. data modeling, pipeline idempotency, operational observability) Responsible for deploying secure and well-tested software and data-assets that meet privacy and compliance requirements; Responsible for service reliability and following site-reliability engineering best practices: on-call rotations for services they maintain, responsible for defining and maintaining SLAs. Help design, build, deploy and maintain infrastructure as code. Containerizes server deployments. What you will need to be successful (experience and qualifications) Hands-on experience designing, planning, building, productionizing, maintaining and documenting reliable and scalable data infrastructure and data products in complex environments Development experience in one or more object-oriented programming languages (e.g. Python, Scala, Java, C#) Experience with SQL and noSQL database fundamentals, query structures and design best practices, including scalability, readability, and reliability Experience implementing large-scale distributed systems in collaboration with more senior team members Knowledge and hands-on experience in technologies across all data lifecycle stages BS degree in computer science or related field or equivalent knowledge and experience No prior experience in the energy industry required
Our purpose is to deliver energy to the world, today and tomorrow. For over 100 years, bp has focused on discovering, developing, and producing oil and gas in the nations where we operate. We are one of the few companies globally that can provide governments and customers with an integrated energy offering. Delivering our strategy sustainably is fundamental to achieving our ambition to be a net zero company by 2050 or sooner! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
... Storytelling- translate technical findings into clear, actionable recommendations for non-technical stakeholders, including senior leadership. 3-4 years of experience in data science, analytics, or a related quantitative role, ideally handling large, real-world datasets. - Strong hands-on skills in Python and SQL, with solid fundamentals ...
... of experience in data analytics or a related field Strong hands-on experience with: SQL Python Power BI and/or Tableau Solid understanding of data modeling, data cleaning, and transformation techniques Experience working with structured and unstructured datasets Familiarity with statistical analysis and data visualization ...
... our team, choose your own path and work on projects that excite you. The Data and Analytics team drives competitive advantage by providing the best-in-class data, analytics, and insights for the Kmart Group. By using the latest cloud platforms tools, data engineering practices, and data science methods, the team is paving ...
... defend the call with the data. Who You Are: - 2 to 5 years in data science or applied ML with a focus on product analytics, growth, or user behaviour - Strong SQL and real comfort working with large, event-level behavioural data at scale - Solid classical ML foundations — clustering (k-means, HDBSCAN, hierarchical), embeddings ...
Role Overview : We are seeking a seasoned Data/SQL Business Analyst to join our high-growth team in Delhi NCR/Gurgaon. In this role, you will serve as the bridge between complex raw data and actionable business strategy, translating technical insights into intuitive dashboards that drive decision-making for senior leadership. ...
DATA SCIENTIST - TIME SERIES FORECASTINGAre you a Data Scientist who loves turning historical data into accurate predictions and actionable business insights?Were looking for a Data Scientist with strong hands-on experience in Time-Series Forecasting, Machine Learning, Python/R and SQL to build forecasting solutions that ...
... pipelines for our analytics needs. Conduct in-depth product analysis to identify trends, patterns, and opportunities for product improvement and growth. Write complex SQL queries and use Python to perform advanced data analysis Collaborate with product managers, engineers, and other stakeholders to understand their data needs and ...
... translate stakeholder needs into clear, testable requirements and communicate effectively with technical teams. Strong SQL skills and experience working with large datasets. Familiarity with modern data environments and tooling (e.g., Databricks, ETL/ELT concepts, Azure, ADF, Python). Experience with governed data environments ...
... DAX expressions. Perform storyboarding to structure analytical insights and present clear, compelling narratives to stakeholders. Collaborate closely with Data Engineering teams by providing clear and detailed requirements. Ensure data accuracy, consistency, and adherence to best practices in reporting and analytics ...
... Scikit-learn, with experience using libraries such as XGBoost, LightGBM, CatBoost, and Statsmodels. Experience working with large datasets and data pipelines, including data preprocessing, data quality checks, transformation, aggregation, and feature generation using tools such as SQL, Spark/PySpark, and cloud data platforms. Strong ...
... to 10 years of experience in Data Analysis / Data Analytics.- Strong proficiency in SQL, Excel (Pivot Tables, Advanced Functions), and Python.- Experience in data modeling, reporting, and dashboarding.- Strong analytical and problem-solving skills.- Ability to work with large and complex datasets.- Excellent communication ...
... data structures for efficient problem-solving - Work on Linux/FreeBSD-based systems, including basic configuration and scripting - Collaborate with senior engineers to understand, debug, and resolve system and application-level issues - Debug code using tools like GDB to identify and resolve issues in a timely manner Who ...
Role Overview A premier U.S.-based technology company is seeking experienced C++ engineers to enhance its next-generation AI-driven dialogue agents. Using state-of-the-art technology, this role focuses on developing open-ended, collaborative conversational AI with applications in education, entertainment, and general question-answering. ...
The DevOps Engineer will lead the design, implementation, and maintenance of robust CI/CD pipelines, cloud infrastructure (AWS/Azure/GCP), containerized applications, and infrastructure automation solutions. The role requires advanced technical expertise in DevOps tools and scripting, infrastructure as code (Terraform), ...
Role Overview A premier U.S.-based technology company is seeking experienced C++ engineers to enhance its next-generation AI-driven dialogue agents. Using state-of-the-art technology, this role focuses on developing open-ended, collaborative conversational AI with applications in education, entertainment, and general question-answering. ...
... partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; ...
... partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; ...
We are looking for an experienced Test Engineer with hands-on experience in the semiconductor domain and ATE (Automated Test Equipment) . The ideal candidate should have experience in ATE test program development, silicon validation, device characterization, hardware debugging, and wafer/final testing. Experience with Teradyne, ...
... other get better. Headout helps people experience the best of every city they visit. What skills & experience do you need - 1 - 3 years in an analytics, BI, or data science role - Strong SQL skills, you can write complex joins, window functions, CTEs without hand-holding. Working knowledge of Python for data manipulation, ...
... Build and optimize data models within Power BI for efficiency and scalability. Develop DAX queries and calculations to enhance dashboard functionality. Ensure data accuracy, consistency, and reliability through proper validation and testing. Work with Data Engineers to integrate multiple data sources (SQL Server, Excel, ...