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.
... accuracy across the network. Define and maintain strict access control, governance, and data privacy standard practices across the global insights platform. Engineering Hygiene & DevOps Packaged and deploy data services using Docker and Kubernetes. Maintain elegant CI/CD automation pipelines for data code deployments and ...
... Bachelor's degree (preferably in Computer Science, Mathematics, Data Science, or a related field). - 3-6 years of overall experience in software development and data analysis. - Hands-on experience in Python for application development. - Strong proficiency in SQL for data analysis and query generation. - Experience with hosted ...
... and detail-oriented Associate Data Engineer to join our growing data team. If you are a recent graduate passionate about data and eager to build a career in data engineering, this is the perfect opportunity for you! In this role, you will work closely with senior engineers to build, maintain, and optimize data pipelines. ...
... tools to streamline data engineering workflows. Collaborate across teams to facilitate smooth data flow and integration. Enforce best practices in observability, data governance, security, and regulatory compliance Minimum 7 years as a Data Engineer or similar role. Hands-on experience with Databricks, Delta Lake, Spark, and ...
... and development Data quality validation and monitoring Schema design for analytics and reporting Performance optimization and scalability Preferred Experience Databricks Delta Lake experience Azure Synapse Analytics Python for data engineering Spark SQL optimization Real-time data streaming Data governance and metadata management ...
... real-time decisioning. Solid engineering foundation with 5+ years of relevant experience in data engineering and/or distributed systems. Hands-on work building data pipelines (batch and/or streaming) using at least one distributed framework (e.g., Comfortable with SQL and a transformation framework (e.g., Familiarity with ...
... AWS Glue, Lambda, and DBT. Work with PySpark and SQL to transform and cleanse data. Configure and manage Airflow workflows and Amazon EMR clusters. Integrate data services with API Gateway and REST/Soap APIs. Required qualifications - 3 to 5 years of experience in data engineering. - Proficient in AWS S3, Glue, Lambda, ...
... Posted 2 weeks ago Job Be an early applicant About the job Job Purpose: Design and implement scalable data engineering and data warehouse solutions while managing data schemas, SQL query tuning, and code reviews. Who You Are: - 5+ years of experience in Data Engineering, with strong knowledge of Data Platforms and Data Warehousing ...
... teams including data analysts and engineers. Write reusable, efficient, and well-documented code. Integrate APIs and third-party services. Troubleshoot and debug data-related issues. Required Skills Strong proficiency in Python. Experience with data libraries like Pandas, NumPy. Hands-on experience with SQL and relational databases. ...
... data quality, reliability, and performance across data systems Required Skills: - Scala (must-have), python - Apache Spark - Strong coding fundamentals and engineering principles - Azure or on-premises Hadoop ecosystem experience - 5+ years of experience in Data Engineering - Python * SQL * AWS / Azure / GCP Preferred (Bonus) ...
... a related field (Master's degree preferred). Core Technical Skills: Python, PySpark, Databricks, Google ADK, LLMs, FastAPI, Spring Boot, Microservices, Kafka, SQL, Data Mesh, Starburst. Infrastructure and Cloud: Kubernetes, OpenShift, Docker, Cloud-Native Infrastructure, CI/CD pipelines. Industry Context: Data engineering ...
... requirements Experience: 8+ years of professional experience in data engineering, with a focus on data modelling and transformation. Programming: Strong proficiency in SQL and Python for data processing and pipeline development. Data Platforms: Hands-on experience with Snowflake, dbt, and modern cloud data warehouses. Data Modelling: ...
... architecture, establish engineering best practices, and mentor other engineers. The role requires strong experience designing, building, and operating large-scale data pipelines and distributed data systems. Our technology stack includes AWS services, Airflow, Snowflake, MS SQL Server, and .NET. We are looking for someone who ...
... expectations are met through disciplined implementation (access controls, lineage, and quality standards) 5+ years building and operating production data pipelines (data engineering—not primarily BI/analytics or data science) - Strong SQL plus strong data modeling skills (dimensional and/or lakehouse modeling) - Hands-on Databricks ...
Job Summary :The Data Integration Engineer will design, develop, and support data integration solutions that extract financial and operational data from enterprise source systems and deliver trusted data to analytics platforms and external vendors. The role emphasizes source-to-target mapping, transformation, validation, ...
... experience in Data Engineering.- Strong Python + SQL expertise.- Strong Data Architecture and System Design skills.- End-to-end production pipeline ownership.- Expert SQL including Window Functions, CTEs, CASE logic.- Strong experience with MySQL / PostgreSQL.- Experience designing Transaction / Fact Tables.- Strong data quality, ...
... and .NET Core/Web API. Strong expertise in SQL Server development, including T-SQL, stored procedures, functions, and triggers. Hands-on experience with SSIS (SQL Server Integration Services) for data integration and ETL processes. Experience designing, developing, and deploying SSRS (SQL Server Reporting Services) reports ...
... global projects. - Degree in Engineering, Computer Science, Information Technology, Data Science, or a related discipline. Formal training or certification in Data provisioning will be preferred. Experience: · 5+ years of rich experience with Data provisioning within Supply Chain . (prior experience collaborating with global ...