Data engineer

7 days ago

Ibrahim Bagh Lines, India ValueLabs Full time

Value Labs hiring below data relevant positions Senior Data Engineer - 7+ years Lead Analytics Engineer - 7+ years Senior Data Engineer: Create data pipelines and operate data infrastructure to ingest data from various sources into client’s data estate. Lead the creation of data models, architecture, and be hands-on with development and release of efficient & reliable pipelines that balance performance, cost, fit to business requirements, and security. Operate and enhance Client’s AWS CDK-provisioned data infrastructure, to enable data ingestion from a variety of sources using SQL, Python, and core AWS data technologies (Redshift, Glue, EMR, Lambda). Act as a data architect to understand various source applications, data standards, and how to integrate them with other source applications. Identify opportunities for internal process improvement such as automating manual processes or optimizing data delivery and infrastructure for greater scalability. Design a POC and implement a solution. Passionate about data, data quality, access, and governance to create accurate high-performance performance data assets that are easy to consume. Mentor junior team members, regularly lead code reviews and solution design workshops. Excel at collaborating with data vendors and design creative solutions to potentially rigid constraints on source data. Demonstrate commitment to our core competencies of being authentic, curious, creative, empathetic and outcome oriented. Lead Analytics Engineer: Several years of experience as an analytics engineer, or data-focused software engineer Strong analytical thinking skills, with experiences applying them in a corporate production environment Interest in emerging analytics engineering tools and practices, with a willingness to make recommendations on opportunities to advance our capabilities Experience working with a cloud-based data warehouse, such as Redshift, Big Query or Snowflake, and an understanding of data pipelines and data model orchestration and deployment using DBT and an orchestration tool (Airflow, Prefect, etc.) An ability to continuously distill complex requests and challenges into specific tasks, then create a plan to act on them. You feel comfortable autonomously leading project initiatives with influence Familiarity creating reports and dashboards using data visualization or BI tools (Looker, Tableau, Power BIExceptional SQL and DBT skills, honed in a shared, production environment Intermediate skill with Python Comfort working with different stakeholders across the org (e. G., Business owners, customer support, others in Engineering) Comfortable using the command line, a Unix-based OS (we are 100% Mac+Linux at client) and extensive experience with software engineering best practices, like version control, Git, and CI/CD A Bachelor’s or Master’s degree with coursework relevant to this role Request you to share your updated resume with the below details if you are interested. Total Exp : Current Company : Current CTC : Expected CTC : Notice Period : Interested to work from office, Hybrid model(Hyderabad location) :

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