53 Adls Jobs - Page 3

Job Role: CDP Data Engineer Why MResult Founded in 2004, MResult is a global digital solutions partner trusted by leading Fortune 500 companies in industries such as pharma & healthcare, retail, and BFSI. MResult's expertise in data and analytics, data engineering, machine learning, AI, and automation help companies streamline operations and unlock business value. As part of our team, you will collaborate with top minds in the industry to deliver cutting-edge solutions that solve real-world challenges. What We Offer: At MResult, you can leave your mark on projects at the world's most recognized brands, access opportunities to grow and upskill, and do your best work with the flexibility of hybrid work models. Great work is rewarded, and leaders are nurtured from within. Our values Agility, Collaboration, Client Focus, Innovation, and Integrity are woven into our culture, guiding every decision. Website: https://mresult.com/ LinkedIn: https://www.linkedin.com/company/mresult/ What This Role Requires In the role of CDP Data Engineer you will be a key contributor to MResult's mission of empowering our clients with data-driven insights and innovative digital solutions. Each day brings exciting challenges and growth opportunities. Here is what you will do: Design, develop, and implement solutions using Customer Data Platform (CDP) to manage and analyze customer data. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Integrate CDP with various data sources and ensure seamless data flow and accuracy. Develop and maintain data pipelines, ensuring data is collected, processed, and stored efficiently. Create and manage customer profiles, segments, and audiences within the CDP. Implement data governance and security best practices to protect customer data. Monitor and optimize the performance of the CDP infrastructure. Provide technical support and troubleshooting for CDP-related issues. Stay updated with the latest trends and advancements in CDP technology and best practices. Key Skills to Succeed in This Role: Overall experience 3-6 yrs Experience in Customer Insights Data. Experience in customer insights journey. Experience in ADLS, ADF & Synapse is a must. Experience in data verse, Power platform and Snowflake. Manage, Master, and Maximize with MResult MResult is an equal-opportunity employer committed to building an inclusive environment free of discrimination and harassment. Take the next step in your career with MResult where your ideas help shape the future.

Good Experience in: Hadoop, SQL, Azure (ADF, ADB, ADLS, Log Analytics, Logic App, Key Vault, Blob Storage) 79 Years Old Reputed MNC Company

About The Role Overview Technology for today and tomorrow The Boeing India Engineering & Technology Center (BIETC) is a 5500+ engineering workforce that contributes to global aerospace growth. Our engineers deliver cutting-edge R&D, innovation, and high-quality engineering work in global markets, and leverage new-age technologies such as AI/ML, IIoT, Cloud, Model-Based Engineering, and Additive Manufacturing, shaping the future of aerospace. People-driven culture At Boeing, we believe creativity and innovation thrives when every employee is trusted, empowered, and has the flexibility to choose, grow, learn, and explore. We offer variable arrangements depending upon business and customer needs, and professional pursuits that offer greater flexibility in the way our people work. We also believe that collaboration, frequent team engagements, and face-to-face meetings bring together different perspectives and thoughts enabling every voice to be heard and every perspective to be respected. No matter where or how our teammates work, we are committed to positively shaping peoples careers and being thoughtful about employee wellbeing. Boeing India Software Engineering team is currently looking for one Lead Software Engineer Developer to join their team in Bengaluru, KA. As a ETL Developer , you will be part of the Application Solutions team, which develops software applications and Digital products that create direct value to its customers. We provide re-vamped work environments focused on delivering data-driven solutions at a rapidly increased pace over traditional development. Be a part of our passionate and motivated team who are excited to use the latest in software technologies for modern web and mobile application development. Through our products we deliver innovative solutions to our global customer base at an accelerated pace. Position Responsibilities: Perform data mining and collection procedures. Ensure data quality and integrity, Interpret and analyze data problems. Visualize data and create reports. Experiments with new models and techniques Determines how data can be used to achieve customer / user goals. Designs data modeling processes Create algorithms and predictive models to for analysis. Enables development of prediction engines, pattern detection analysis, and optimization algorithms, etc. Develops guidance for analytics-based wireframes. Organizes and conducts data assessments. Discovers insights from structured and unstructured data. Estimate user stories/features (story point estimation) and tasks in hours with the required level of accuracy and commit them as part of Sprint Planning. Contributes to the backlog grooming meetings by promptly asking relevant questions to ensure requirements achieve the right level of DOR. Raise any impediments/risks (technical/operational/personal) they come across and approaches Scrum Master/Technical Architect/PO accordingly to arrive at a solution. Update the status and the remaining efforts for their tasks on a daily basis. Ensures change requests are treated correctly and tracked in the system, impact analysis done, and risks/timelines are appropriately communicated. Hands-on experience in understanding aerospace domain specific data Must coordinate with data scientists in data preparation, exploration and making data ready. Must have clear understanding of defining data products and monetizing. Must have experience in building self-service capabilities to users. Build quality checks across the data lineage and responsible in designing and implementing different data patterns. Can influence different stakeholders for funding and building the vision of the product in terms of usage, productivity, and scalability of the solutions. Build impactful or outcome-based solutions/products. Basic Qualifications (Required Skills/Experience): Bachelors or masters degree as BASIC QUALIFICATION 12-15 years of experience as a data engineer. Expertise in SQL, Python, Knowledge of Java, Oracle, R, Data modeling, Power BI. Experience in understanding and interacting with multiple data formats. Ability to rapidly learn and understand software from source code. Expertise in understanding, analyzing & optimizing large, complicated SQL statements Strong knowledge and experience in SQL Server, database design and ETL queries. Develop software models to simulate real world problems to help operational leaders understand on which variables to focus. Candidate should have proficiency to streamline and optimize databases for efficient and consistent data consumption. Strong understanding of Datawarehouse concepts, data lake, data mesh Familiar with ETL tools and Data ingestion patterns Hands on experience in building data pipelines using GCP. Hands on experience in writing complex SQL (No- SQL is a big plus) Hands on experience with data pipeline orchestration tools such as Airflow/GCP Composer Hands on experience on Data Modelling Experience in leading teams with diversity Experience in performance tuning of large datawarehouse/datalakes. Exposure to prompt engineering, LLMs, and vector DB. Python, SQL and Pyspark Spark Ecosystem (Spark Core, Spark Streaming, Spark SQL) / Databricks Azure (ADF, ADB, Logic Apps, Azure SQL database, Azure Key Vaults, ADLS, Synapse) Preferred Qualifications [Required Skills/Experience] PubSUB, Terraform Deep Learning - Tensor flow Time series, BI/Visualization Tools - Power BI and Tablaeu, Languages - R/Phython Deep Learning - Tensor flow Machine Learning NLP Typical Education & Experience Education/experience typically acquired through advanced education (e.g. Bachelor) and typically 12 to 15 years' related work experience or an equivalent combination of education and experience (e.g. Master+11 years of related work experience etc.) Relocation This position does offer relocation within INDIA. Export Control Requirements This is not an Export Control position. Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift Not a Shift Worker (India)