Data Engineer

3 weeks ago

India Dautom Full time

Job Description: Data Engineer (Big Data/Kafka) We are seeking a highly experienced Senior Data Engineer with a deep background in Big Data technologies to join our team. This is a contract role for a major project in the Banking sector. Key Details: Role: Data Engineer Industry: Banking (Financial Services) Work Location: Remote (India) Contract Duration: 6 months initial contract (with a strong likelihood of extension to long-term) Notice Period: 30 days or less Note: This role is for professionals seeking a contract engagement, not for freelancers or independent contractors. Key Responsibilities: Technical Execution: Design, write, and tune complex data processing jobs using Java, MapReduce, Hive, and Spark. Team Leadership & Management: Lead and mentor a team of data engineers (including full-time associates and vendor partners), ensuring project prioritization aligns with business needs. Remain hands-on with code and architecture. Big Data Ecosystem Management: Work extensively across the Hadoop stack (HDFS, Pig, Hive, HBase, Flume, Sqoop) and NoSQL stores (e.g., Cassandra). Data Modeling & BI: Design and build dimensional data models. Manage the business intelligence function, developing high-quality dashboards using industry best practices. Data Integrity & Deployment: Analyze source data integrity and lead the deployment and auditing of data models and attributes for accuracy. Stream Processing: Develop and maintain solutions using stream-processing systems like Spark-Streaming. SQL & Performance Tuning: Demonstrate proficiency in writing and performance-tuning advanced SQL queries. Required Skills & Qualifications: Experience: 6-10+ years of proven experience as a Big Data Engineer. Big Data Frameworks: In-depth knowledge of Hadoop (Cloudera distribution preferred), Spark, and similar frameworks. Programming & Scripting: Strong expertise in Java. Experience with object-oriented/object function scripting languages like Python and Scala. Querying Tools: Good knowledge of Big Data querying tools such as Pig, Hive, and Impala. Databases: Experience with both relational SQL (e.g., Postgres) and NoSQL databases (e.g., Cassandra). Streaming Tech: Hands-on experience with stream-processing systems like Spark-Streaming or Storm. Data Modeling: Proven experience in designing and building dimensional data models. Leadership: Demonstrated experience leading a Backend/Distributed Data Systems team while remaining technically hands-on. Preferred Skills (Pluses): Experience with Azure cloud services. Knowledge of data science and machine learning tools and technologies. Experience in the Financial Services/Banking industry. Personal Attributes: Able to effectively plan, organize, and own deliverables. Strong interpersonal and communication skills. Ability to solve complex networking, data, and software issues. A collaborative team player who builds and maintains cooperative work relationships.

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