Data engineer

2 weeks ago

India Dautom Full time

Data Engineer (Big Data, Hadoop, Spark) Location: Offshore - India (Remote) Contract Duration: 6 Months (Renewable) Client Industry: Banking/Financial Services Employment Type: Contract (Payroll: Dautom IT Consultants LLC) Notice Period: 30 days or less Experience: 6-10+ years of proven experience as a Big Data Engineer. Application Note: Independent contractors with their own firms are not encouraged to apply for this role. About the Role: We are seeking a highly experienced Senior Data Engineer with 7-10 years of deep expertise in the Big Data ecosystem. The ideal candidate will be a hands-on technical leader, proficient in designing, building, and tuning large-scale distributed data systems. This role involves leading a team of data engineers while owning key deliverables and ensuring the integrity and performance of our data platforms. Key Responsibilities: Technical Leadership & Hands-On Development: Lead and mentor a backend/distributed data systems team while remaining hands-on with code and architecture. Own end-to-end deliverables for the Big Data team from a delivery perspective. Write, tune, and optimize complex Java, Map Reduce, Hive, and Spark jobs. Design and build scalable dimensional data models to improve data accessibility, efficiency, and quality. Big Data Engineering: Utilize the Hadoop stack extensively (HDFS, Map Reduce, Pig, Hive, HBase, Flume, Sqoop). Develop and maintain solutions using No SQL stores like Cassandra and HBase. Build and manage data pipelines using stream-processing frameworks such as Spark-Streaming. Data Management & BI: Manage the business intelligence team and vendor partners, prioritizing projects based on business needs. Develop high-quality dashboards using industry best practices. Analyze and confirm the integrity of source data. Lead the deployment and auditing of data models for accuracy. Team & Vendor Management: Manage a team of data engineers, including full-time associates and third-party resources. Foster a cooperative work environment and assist team members in achieving group goals. 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. Big Data Tools: Proficiency with Big Data querying tools like Pig, Hive, and Impala. Programming Languages: Strong skills in Java and object-oriented/function scripting languages like Python or Scala. Database Expertise: Advanced SQL skills with expertise in performance tuning. Experience with relational SQL (e.g., Postgres) and No SQL databases (e.g., Cassandra). Data Modeling: Experience in designing and building dimensional data models. Stream Processing: Hands-on experience with stream-processing systems (e.g., Spark-Streaming, Storm). Desired Skills (Pluses): Experience with Azure cloud services . Knowledge of the Banking/Financial Services industry. Familiarity with data science and machine learning tools and technologies. Knowledge of other scripting languages like C++, Linux, Ruby, PHP, or R. Personal Attributes: Excellent problem-solving skills for complex networking, data, and software issues. Ability to effectively plan, organize, and prioritize work. Strong interpersonal and communication skills. A collaborative team player who builds and maintains positive work relationships.

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